10BC0 Merge branch 'v3.10.1-doc' into v3.10.x · matplotlib/matplotlib@c0bc118 · GitHub
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Merge branch 'v3.10.1-doc' into v3.10.x
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‎.github/workflows/tests.yml‎

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matrix:
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include:
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- name-suffix: "(Minimum Versions)"
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os: ubuntu-20.04
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os: ubuntu-22.04
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python-version: '3.10'
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extra-requirements: '-c requirements/testing/minver.txt'
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delete-font-cache: true
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pyqt6-ver: '==6.2.0 PyQt6-Qt6==6.2.0'
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pyside2-ver: '==5.15.2.1'
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pyside6-ver: '==6.2.0'
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- os: ubuntu-20.04
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python-version: '3.10'
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# One CI run tests ipython/matplotlib-inline before backend mapping moved to mpl
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extra-requirements:
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-r requirements/testing/extra.txt
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"ipython==7.29.0"
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"ipykernel==5.5.6"
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"matplotlib-inline<0.1.7"
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CFLAGS: "-fno-lto" # Ensure that disabling LTO works.
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# https://github.com/matplotlib/matplotlib/pull/26052#issuecomment-1574595954
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# https://www.riverbankcomputing.com/pipermail/pyqt/2023-November/045606.html
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pyqt6-ver: '!=6.5.1,!=6.6.0,!=6.7.1'
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# https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-2346
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pyside6-ver: '!=6.5.1'
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- os: ubuntu-22.04
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python-version: '3.11'
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CFLAGS: "-fno-lto" # Ensure that disabling LTO works.
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# https://www.riverbankcomputing.com/pipermail/pyqt/2023-November/045606.html
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pyqt6-ver: '!=6.6.0'
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# https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-2346
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pyside6-ver: '!=6.5.1'
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- os: macos-14 # This runner is on M1 (arm64) chips.
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python-version: '3.12'
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# https://github.com/matplotlib/matplotlib/issues/29732
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pygobject-ver: '<3.52.0'
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# https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-2346
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pyside6-ver: '!=6.5.1'
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- os: macos-14 # This runner is on M1 (arm64) chips.
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python-version: '3.13'
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# https://github.com/matplotlib/matplotlib/issues/29732
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pygobject-ver: '<3.52.0'
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# https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-2346
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pyside6-ver: '!=6.5.1'
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texlive-luatex \
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texlive-pictures \
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texlive-xetex
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if [[ "${{ matrix.os }}" = ubuntu-20.04 ]]; then
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sudo apt-get install -yy --no-install-recommends libopengl0
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else # ubuntu-22.04
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sudo apt-get install -yy --no-install-recommends gir1.2-gtk-4.0
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fi
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sudo apt-get install -yy --no-install-recommends gir1.2-gtk-4.0
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;;
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macOS)
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brew update
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# (sometimes, the install appears to be successful but shared
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# libraries cannot be loaded at runtime, so an actual import is a
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# better check).
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python -m pip install --upgrade pycairo 'cairocffi>=0.8' PyGObject &&
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python -m pip install --upgrade pycairo 'cairocffi>=0.8' 'PyGObject${{ matrix.pygobject-ver }}' &&
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(
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python -c 'import gi; gi.require_version("Gtk", "4.0"); from gi.repository import Gtk' &&
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echo 'PyGObject 4 is available' || echo 'PyGObject 4 is not available'

‎doc/_static/mpl.css‎

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.section-toc.toctree-wrapper li>ul{
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padding-inline-start:0;
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}
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.sidebar-cheatsheets {
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margin-bottom: 3em;
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}
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.sidebar-cheatsheets > h3 {
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margin-top: 0;
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}
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.sidebar-cheatsheets > img {
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width: 100%;
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}

‎doc/_static/zenodo_cache/14940554.svg‎

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‎doc/_templates/cheatsheet_sidebar.html‎

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<div class="sidebar-cheatsheets">
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<h3>Matplotlib cheatsheets</h3>
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<h3>Cheatsheets</h3>
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<a href="https://matplotlib.org/cheatsheets/">
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<img src="_static/mpl_cheatsheet1.png"
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alt="Matplotlib cheatsheets"

‎doc/index.rst‎

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conda install -c conda-forge matplotlib
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.. tab-item:: pixi
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.. code-block:: bash
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pixi add matplotlib
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.. tab-item:: uv
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.. code-block:: bash
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uv add matplotlib
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.. warning::
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If you install Python with ``uv`` then the ``tkagg`` backend
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will not be available because python-build-standalone (used by uv
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to distribute Python) does not contain tk bindings that are usable by
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Matplotlib (see `this issue`_ for details). If you want Matplotlib
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to be able to display plots in a window, you should install one of
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the other :ref:`supported GUI frameworks <optional_dependencies>`,
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e.g.
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.. code-block:: bash
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uv add matplotlib pyside6
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.. _this issue: https://github.com/astral-sh/uv/issues/6893#issuecomment-2565965851
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.. tab-item:: other
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.. rst-class:: section-toc

‎doc/install/index.rst‎

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The following backends work out of the box: Agg, ps, pdf, svg
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Python is typically shipped with tk bindings which are used by
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TkAgg.
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TkAgg. Notably, python-build-standalone – used by ``uv`` – does
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not include tk bindings that are usable by Matplotlib.
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For support of other GUI frameworks, LaTeX rendering, saving
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animations and a larger selection of file formats, you can

‎doc/project/citing.rst‎

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.. START OF AUTOGENERATED
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v3.10.1
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.. image:: ../_static/zenodo_cache/14940554.svg
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:target: https://doi.org/10.5281/zenodo.14940554
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v3.10.0
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.. image:: ../_static/zenodo_cache/14464227.svg
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:target: https://doi.org/10.5281/zenodo.14464227

‎environment.yml‎

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# testing
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- black<24
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- coverage
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- flake8>=3.8
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- flake8>=3.8,<7.2
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- flake8-docstrings>=1.4.0
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- gtk4
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- ipykernel

‎galleries/examples/scales/logit_demo.py‎

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===========
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Examples of plots with logit axes.
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This example visualises how ``set_yscale("logit")`` works on probability plots
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by generating three distributions: normal, laplacian, and cauchy in one plot.
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The advantage of logit scale is that it effectively spreads out values close to 0 and 1.
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In a linear scale plot, probability values near 0 and 1 appear compressed,
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making it difficult to see differences in those regions.
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In a logit scale plot, the transformation expands these regions,
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making the graph cleaner and easier to compare across different probability values.
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This makes the logit scale especially useful when visalising probabilities in logistic
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regression, classification models, and cumulative distribution functions.
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"""
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import math

‎galleries/examples/shapes_and_collections/hatch_style_reference.py‎

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# - `matplotlib.patches.Rectangle`
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# - `matplotlib.axes.Axes.add_patch`
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# - `matplotlib.axes.Axes.text`
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#
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# .. tags::
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#
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# purpose: reference

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