8000 DOC: Fix some release note issues from review · matplotlib/matplotlib@c7df67e · GitHub
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DOC: Fix some release note issues from review
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‎doc/api/prev_api_changes/api_changes_3.9.0/behaviour.rst

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@@ -27,14 +27,6 @@ Boxplots now ignore masked data points
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`~matplotlib.axes.Axes.boxplot` and `~matplotlib.cbook.boxplot_stats` now ignore any
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masked points in the input data.
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Default behavior of ``hexbin`` with *C* provided requires at least 1 point
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The behavior changed in 3.8.0 to be inclusive of *mincnt*. However that resulted in
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errors or warnings with some reduction functions, so now the default is to require at
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least 1 point to call the reduction function. This effectively restores the default
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behavior to match that of Matplotlib 3.7 and before.
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``axhspan`` and ``axvspan`` now return ``Rectangle``\s, not ``Polygon``\s
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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‎doc/api/prev_api_changes/api_changes_3.9.0/deprecations.rst

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Deprecations
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------------
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``contour`` deprecations reverted
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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``contour.allsegs``, ``contour.allkinds``, and ``contour.find_nearest_contour`` are no
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longer marked for deprecation.
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``plot_date``
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^^^^^^^^^^^^^
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‎doc/users/prev_whats_new/whats_new_3.9.0.rst

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@@ -75,14 +75,13 @@ Or as a single string to each individual `.Axes.boxplot`:
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Percent sign in pie labels auto-escaped with ``usetex=True``
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------------------------------------------------------------
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It is common, with `.Axes.pie`, to specify labels that include a percent sign
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(``%``), which denotes a comment for LaTeX. When enabling LaTeX with
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:rc:`text.usetex` or passing ``textprops={"usetex": True}``, this would cause
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the percent sign to disappear.
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It is common, with `.Axes.pie`, to specify labels that include a percent sign (``%``),
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which denotes a comment for LaTeX. When enabling LaTeX with :rc:`text.usetex` or passing
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``textprops={"usetex": True}``, this used to cause the percent sign to disappear.
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Now, the percent sign is automatically escaped (by adding a preceding
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backslash) so that it appears regardless of the ``usetex`` setting. If you have
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pre-escaped the percent sign, this will be detected, and remain as is.
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Now, the percent sign is automatically escaped (by adding a preceding backslash) so that
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it appears regardless of the ``usetex`` setting. If you have pre-escaped the percent
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sign, this will be detected, and remain as is.
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``hatch`` parameter for stackplot
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---------------------------------
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ax.axhspan(.8, .9, fc="C1", alpha=.5)
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ax.axhspan(.6, .7, .8, .9, fc="C2", alpha=.5)
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subplot titles can now be automatically aligned
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Subplot titles can now be automatically aligned
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-----------------------------------------------
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Subplot axes titles can be misaligned vertically if tick labels or xlabels are placed at
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.. plot::
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:include-source:
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:alt: A figure with two Axes side-by-side, the second of which with ticks on top. The Axes titles and x-labels ppear unaligned with each other due to these ticks.
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:alt: A figure with two Axes side-by-side, the second of which with ticks on top. The Axes titles and x-labels appear unaligned with each other due to these ticks.
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fig, axs = plt.subplots(1, 2, layout='constrained')
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-------------------------
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Minor ticks on an `~matplotlib.axis.Axis` can be displayed or removed using
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`~matplotlib.axis.Axis.minorticks_on` and `~matplotlib.axis.Axis.minorticks_off`; e.g.:
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`~matplotlib.axis.Axis.minorticks_on` and `~matplotlib.axis.Axis.minorticks_off`; e.g.,
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``ax.xaxis.minorticks_on()``. See also `~matplotlib.axes.Axes.minorticks_on`.
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``StrMethodFormatter`` now respects ``axes.unicode_minus``
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Figure, Axes, and Legend Layout
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===============================
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Subfigures have now controllable zorders
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Subfigures now have controllable zorders
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----------------------------------------
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Previously, setting the zorder of a subfigure had no effect, and those were plotted on
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.. plot::
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:include-source:
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:alt: Example of the new behavior of 3D axis limits, and how setting the rcparam reverts to the old behavior.
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:alt: Example of the new behavior of 3D axis limits, and how setting the rcParam reverts to the old behavior.
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fig, axs = plt.subplots(1, 2, subplot_kw={'projection': '3d'})
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NonUniformImage now has mouseover support
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-----------------------------------------
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When mousing over a `~matplotlib.image.NonUniformImage` the data values are now
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When mousing over a `~matplotlib.image.NonUniformImage`, the data values are now
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displayed.

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