8000 Fixing Sentence Case on Section Titles in users_explain (#27325) · matplotlib/matplotlib@161d47b · GitHub
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Fixing Sentence Case on Section Titles in users_explain (#27325)
* Fixing sentence case usage inside user_explain/axes pages * Fixing sentence case usage inside user_explain/animations pages * Fixing sentence case usage inside user_explain/artists pages * Fixing sentence case usage inside user_explain/colors pages * Fixing sentence case usage inside user_explain/toolkits pages * Update galleries/users_explain/artists/paths.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/artists/transforms_tutorial.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/colors/colormaps.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/colors/colorbar_only.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/axes/autoscale.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/colors/colormap-manipulation.py Co-authored-by: hannah <story645@gmail.com> * Update galleries/users_explain/colors/colormaps.py Co-authored-by: hannah <story645@gmail.com> --------- Co-authored-by: hannah <story645@gmail.com>
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‎galleries/users_explain/animations/animations.py‎

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import matplotlib.animation as animation
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# %%
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# Animation Classes
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# Animation classes
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# =================
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#
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# The animation process in Matplotlib can be thought of in 2 different ways:
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plt.show()
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# %%
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# Animation Writers
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# Animation writers
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# =================
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#
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# Animation objects can be saved to disk using various multimedia writers

‎galleries/users_explain/artists/patheffects_guide.py‎

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# automatically followed with the "normal" effect, whereas the latter
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# explicitly defines the two path effects to draw.
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#
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# Making an artist stand out
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# Making an Artist stand out
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# --------------------------
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#
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# One nice way of making artists visually stand out is to draw an outline in
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# its user interface.
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#
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#
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# Greater control of the path effect artist
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# Greater control of the path effect Artist
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# -----------------------------------------
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#
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# As already mentioned, some of the path effects operate at a lower level

‎galleries/users_explain/axes/autoscale.py‎

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.. _autoscale:
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Autoscaling
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===========
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Autoscaling Axis
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================
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The limits on an axis can be set manually (e.g. ``ax.set_xlim(xmin, xmax)``)
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or Matplotlib can set them automatically based on the data already on the axes.

‎galleries/users_explain/axes/axes_ticks.py‎

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.. _user_axes_ticks:
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==========
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Axis Ticks
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Axis ticks
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==========
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The x and y Axis on each Axes have default tick "locators" and "formatters"

‎galleries/users_explain/axes/colorbar_placement.py‎

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.. redirect-from:: /gallery/subplots_axes_and_figures/colorbar_placement
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=================
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Placing Colorbars
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Placing colorbars
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=================
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Colorbars indicate the quantitative extent of image data. Placing in

‎galleries/users_explain/axes/constrainedlayout_guide.py‎

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.. _constrainedlayout_guide:
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========================
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Constrained Layout Guide
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Constrained layout guide
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========================
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Use *constrained layout* to fit plots within your figure cleanly.

‎galleries/users_explain/axes/legend_guide.py‎

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plt.show()
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# %%
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# Legend Handlers
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# Legend handlers
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# ===============
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#
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# In order to create legend entries, handles are given as an argument to an

‎galleries/users_explain/axes/tight_layout_guide.py‎

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.. _tight_layout_guide:
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==================
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Tight Layout guide
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Tight layout guide
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==================
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How to use tight-layout to fit plots within your figure cleanly.
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An alternative to *tight_layout* is :ref:`constrained_layout
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<constrainedlayout_guide>`.
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Simple example
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==============
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# %%
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# Legends and Annotations
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# Legends and annotations
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# =======================
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#
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# Pre Matplotlib 2.2, legends and annotations were excluded from the bounding

‎galleries/users_explain/colors/colorbar_only.py‎

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"""
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.. redirect-from:: /tutorials/colors/colorbar_only
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====================
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Standalone colorbars
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====================
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=============================
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Customized Colorbars Tutorial
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=============================
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This tutorial shows how to build and customize standalone colorbars, i.e.
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without an attached plot.

‎galleries/users_explain/colors/colormap-manipulation.py‎

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.. _colormap-manipulation:
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******************
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Creating Colormaps
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******************
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********************************
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Creating Colormaps in Matplotlib
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********************************
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Matplotlib has a number of built-in colormaps accessible via
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`.matplotlib.colormaps`. There are also external libraries like

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