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Updates thegalleries/tutorials/artists.py file in response to issue #28920#29080

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timhoffm merged 4 commits intomatplotlib:mainfromfocardozom:main
Nov 14, 2024
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34 changes: 15 additions & 19 deletionsgalleries/tutorials/artists.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,15 +11,15 @@

There are three layers to the Matplotlib API.

* the :class:`matplotlib.backend_bases.FigureCanvas` is the area onto which
* the :class:`!matplotlib.backend_bases.FigureCanvas` is the area onto which
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Actually, the previous way of expression is not exactly great - there is just no class
matplotlib.backend_bases.FigureCanvas. We have a logical concept ofFigureCanvas that's realized through the subclasses ofFigureCanvasBase. Maybe

Suggested change
*the:class:`!matplotlib.backend_bases.FigureCanvas`istheareaontowhich
*the*FigureCanvas* (subclassesof`.FigureCanvasBase`)istheareaontowhich

And subsequently only use FigureCanvas as a given name (for the logical concept) without further highlighting.

Or better, switch to:term:`FigureCanvas`, but that'd require first setting up a gloassary#28889.

But we can also leave all this for later.

the figure is drawn
* the :class:`matplotlib.backend_bases.Renderer` is the object which knows how
to draw on the :class:`~matplotlib.backend_bases.FigureCanvas`
* the :class:`!matplotlib.backend_bases.Renderer` is the object which knows how
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Same issue as above:Renderer is a concept realized through the subclasses ofRendererBase.

to draw on the :class:`!matplotlib.backend_bases.FigureCanvas`
* and the :class:`matplotlib.artist.Artist` is the object that knows how to use
a renderer to paint onto the canvas.

The :class:`~matplotlib.backend_bases.FigureCanvas` and
:class:`~matplotlib.backend_bases.Renderer` handle all the details of
The :class:`!matplotlib.backend_bases.FigureCanvas` and
:class:`!matplotlib.backend_bases.Renderer` handle all the details of
talking to user interface toolkits like `wxPython
<https://www.wxpython.org>`_ or drawing languages like PostScript®, and
the ``Artist`` handles all the high level constructs like representing
Expand DownExpand Up@@ -156,12 +156,10 @@ class in the Matplotlib API, and the one you will be working with most
# (the standard white box with black edges in the typical Matplotlib
# plot, has a ``Rectangle`` instance that determines the color,
# transparency, and other properties of the Axes. These instances are
# stored as member variables :attr:`Figure.patch
# <matplotlib.figure.Figure.patch>` and :attr:`Axes.patch
# <matplotlib.axes.Axes.patch>` ("Patch" is a name inherited from
# MATLAB, and is a 2D "patch" of color on the figure, e.g., rectangles,
# circles and polygons). Every Matplotlib ``Artist`` has the following
# properties
# stored as member variables :attr:`!Figure.patch` and :attr:`!Axes.patch`
# ("Patch" is a name inherited from MATLAB, and is a 2D "patch"
# of color on the figure, e.g., rectangles, circles and polygons).
# Every Matplotlib ``Artist`` has the following properties
#
# ========== =================================================================
# Property Description
Expand DownExpand Up@@ -284,7 +282,7 @@ class in the Matplotlib API, and the one you will be working with most
# :class:`matplotlib.figure.Figure`, and it contains everything in the
# figure. The background of the figure is a
# :class:`~matplotlib.patches.Rectangle` which is stored in
# :attr:`Figure.patch <matplotlib.figure.Figure.patch>`. As
# :attr:`!Figure.patch`. As
# you add subplots (:meth:`~matplotlib.figure.Figure.add_subplot`) and
# Axes (:meth:`~matplotlib.figure.Figure.add_axes`) to the figure
# these will be appended to the :attr:`Figure.axes
Expand DownExpand Up@@ -331,8 +329,7 @@ class in the Matplotlib API, and the one you will be working with most
#
# As with all ``Artist``\s, you can control this coordinate system by setting
# the transform property. You can explicitly use "figure coordinates" by
# setting the ``Artist`` transform to :attr:`fig.transFigure
# <matplotlib.figure.Figure.transFigure>`:
# setting the ``Artist`` transform to :attr:`!fig.transFigure`:

import matplotlib.lines as lines

Expand DownExpand Up@@ -375,7 +372,7 @@ class in the Matplotlib API, and the one you will be working with most
# customize the ``Artists`` it contains. Like the
# :class:`~matplotlib.figure.Figure`, it contains a
# :class:`~matplotlib.patches.Patch`
# :attr:`~matplotlib.axes.Axes.patch` which is a
# :attr:`!matplotlib.axes.Axes.patch` which is a
# :class:`~matplotlib.patches.Rectangle` for Cartesian coordinates and a
# :class:`~matplotlib.patches.Circle` for polar coordinates; this patch
# determines the shape, background and border of the plotting region::
Expand DownExpand Up@@ -408,8 +405,7 @@ class in the Matplotlib API, and the one you will be working with most
#
# Similarly, methods that create patches, like
# :meth:`~matplotlib.axes.Axes.bar` creates a list of rectangles, will
# add the patches to the :attr:`Axes.patches
# <matplotlib.axes.Axes.patches>` list:
# add the patches to the :attr:`!Axes.patches` list:
#
# .. sourcecode:: ipython
#
Expand DownExpand Up@@ -556,8 +552,8 @@ class in the Matplotlib API, and the one you will be working with most
# important ``Artist`` containers: the :class:`~matplotlib.axis.XAxis`
# and :class:`~matplotlib.axis.YAxis`, which handle the drawing of the
# ticks and labels. These are stored as instance variables
# :attr:`~matplotlib.axes.Axes.xaxis` and
# :attr:`~matplotlib.axes.Axes.yaxis`. The ``XAxis`` and ``YAxis``
# :attr:`!matplotlib.axes.Axes.xaxis` and
# :attr:`!matplotlib.axes.Axes.yaxis`. The ``XAxis`` and ``YAxis``
# containers will be detailed below, but note that the ``Axes`` contains
# many helper methods which forward calls on to the
# :class:`~matplotlib.axis.Axis` instances, so you often do not need to
Expand Down
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