@@ -156,8 +156,8 @@ class in the Matplotlib API, and the one you will be working with most
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# (the standard white box with black edges in the typical Matplotlib
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# plot, has a ``Rectangle`` instance that determines the color,
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# transparency, and other properties of the Axes. These instances are
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- # stored as member variables :attr:`Figure.patch
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- # <matplotlib.figure.Figure.patch>` and :attr:`Axes.patch
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+ # stored as member variables :attr:`! Figure.patch
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+ # <matplotlib.figure.Figure.patch>` and :attr:`! Axes.patch
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# <matplotlib.axes.Axes.patch>` ("Patch" is a name inherited from
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# MATLAB, and is a 2D "patch" of color on the figure, e.g., rectangles,
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# circles and polygons). Every Matplotlib ``Artist`` has the following
@@ -331,7 +331,7 @@ class in the Matplotlib API, and the one you will be working with most
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#
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# As with all ``Artist``\s, you can control this coordinate system by setting
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# the transform property. You can explicitly use "figure coordinates" by
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- # setting the ``Artist`` transform to :attr:`fig.transFigure
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+ # setting the ``Artist`` transform to :attr:`! fig.transFigure
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# <matplotlib.figure.Figure.transFigure>`:
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import matplotlib .lines as lines
@@ -408,7 +408,7 @@ class in the Matplotlib API, and the one you will be working with most
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#
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# Similarly, methods that create patches, like
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# :meth:`~matplotlib.axes.Axes.bar` creates a list of rectangles, will
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- # add the patches to the :attr:`Axes.patches
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+ # add the patches to the :attr:`! Axes.patches
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# <matplotlib.axes.Axes.patches>` list:
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#
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# .. sourcecode:: ipython
@@ -556,8 +556,8 @@ class in the Matplotlib API, and the one you will be working with most
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# important ``Artist`` containers: the :class:`~matplotlib.axis.XAxis`
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# and :class:`~matplotlib.axis.YAxis`, which handle the drawing of the
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# ticks and labels. These are stored as instance variables
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- # :attr:`~matplotlib.axes.Axes.xaxis` and
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- # :attr:`~matplotlib.axes.Axes.yaxis`. The ``XAxis`` and ``YAxis``
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+ # :attr:`! ~matplotlib.axes.Axes.xaxis` and
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+ # :attr:`! ~matplotlib.axes.Axes.yaxis`. The ``XAxis`` and ``YAxis``
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# containers will be detailed below, but note that the ``Axes`` contains
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# many helper methods which forward calls on to the
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# :class:`~matplotlib.axis.Axis` instances, so you often do not need to
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