8000 linking front thumbnails, updating screenshots + pyplot API page by choldgraf · Pull Request #8581 · matplotlib/matplotlib · GitHub
[go: up one dir, main page]
Skip to content

linking front thumbnails, updating screenshots + pyplot API page #8581

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 7 commits into from
May 12, 2017
Merged

linking front thumbnails, updating screenshots + pyplot API page #8581

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
0a58484
linking front thumbnails and updating screenshots
choldgraf May 6, 2017
edf2cf8
adding pyplot API context
choldgraf May 7, 2017
aa88fae
categorical variable example
choldgraf May 7, 2017
a46410e
addressing comments
choldgraf May 9, 2017
166a431
ableist language
choldgraf May 9, 2017
7e5bee9
addressing comments
choldgraf May 11, 2017
cf76980
Update categorical_variables.py
choldgraf May 11, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
ableist language
  • Loading branch information
@choldgraf
choldgraf committed May 9, 2017
commit 166a4310cb3ff76ed247dd7a718684c9ee9675bc
17 changes: 9 additions & 8 deletions tutorials/01_introductory/sample_plots.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,10 +8,11 @@

.. _matplotlibscreenshots:

Simple Plot
===========
Line Plot
=========

Here's a very basic :func:`~matplotlib.pyplot.plot` with text labels:
Here's now to create a line plot with text labels using
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Here's how?

:func:`~matplotlib.pyplot.plot`.

.. figure:: ../../gallery/pylab_examples/images/sphx_glr_simple_plot_001.png
:target: ../../gallery/pylab_examples/simple_plot.html
Expand Down Expand Up @@ -56,7 +57,7 @@
Path demo
=========

You can add arbitrary paths in matplotlib using the
8000 You can add other paths in matplotlib using the
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Matplotlib

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Also needs to be arbitrary cause the arbitrary is in reference to the shape of the part (line, circle, curve)

:mod:`matplotlib.path` module:

.. figure:: ../../gallery/shapes_and_collections/images/sphx_glr_path_patch_001.png
Expand Down Expand Up @@ -131,8 +132,8 @@
Bar charts
==========

Bar charts are simple to create using the :func:`~matplotlib.pyplot.bar`
command, which includes customizations such as error bars:
Use the :func:`~matplotlib.pyplot.bar` command to make bar charts, which
includes customizations such as error bars:

.. figure:: ../../gallery/pylab_examples/images/sphx_glr_barchart_demo_001.png
:target: ../../gallery/pylab_examples/barchart_demo.html
Expand All @@ -141,7 +142,7 @@

Barchart Demo

It's also simple to create stacked bars
You can also create stacked bars
(`bar_stacked.py <../../gallery/pylab_examples/bar_stacked.html>`_),
or horizontal bar charts
(`barh.py <../../gallery/lines_bars_and_markers/barh.html>`_).
Expand All @@ -152,7 +153,7 @@
Pie charts
==========

The :func:`~matplotlib.pyplot.pie` command allows you to easily create pie
The :func:`~matplotlib.pyplot.pie` command allows you to create pie
charts. Optional features include auto-labeling the percentage of area,
exploding one or more wedges from the center of the pie, and a shadow effect.
Take a close look at the attached code, which generates this figure in just
Expand Down
0