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Commit a421abf

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jklymakjklymak
authored
Merge pull request #11120 from matplotlib/auto-backport-of-pr-10981
Backport PR #10981 on branch v2.2.x
2 parents aa87ae3 + e26a517 commit a421abf
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‎doc/api/api_changes.rst

Copy file name to clipboardExpand all lines: doc/api/api_changes.rst
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@@ -407,6 +407,22 @@ Both bindings are disabled if only a subset of the grid lines (in either
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direction) is visible, to avoid making irreversible changes to the figure.
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Ticklabels are turned off instead of being invisible
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----------------------------------------------------
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Internally, the `Tick`'s :func:`~matplotlib.axis.Tick.label1On` attribute
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is now used to hide tick labels instead of setting the visibility on the tick
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label objects.
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This improves overall performance and fixes some issues.
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As a consequence, in case those labels ought to be shown,
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:func:`~matplotlib.axes.Axes.tick_params`
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needs to be used, e.g.
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::
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ax.tick_params(labelbottom=True)
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Removal of warning on empty legends
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-----------------------------------
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‎doc/users/prev_whats_new/whats_new_2.1.0.rst

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@@ -395,12 +395,28 @@ cases.
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---------------------------------------------------
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Bulk setting of tick label rotation is now possible via
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:func:`~matplotlib.axis.Axis.set_tick_params` using the ``rotation``
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:func:`~matplotlib.axes.Axes.tick_params` using the ``rotation``
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keyword.
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::
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ax.xaxis.set_tick_params(which='both', rotation=90)
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ax.tick_params(which='both', rotation=90)
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Ticklabels are turned off instead of being invisible
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----------------------------------------------------
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Internally, the `Tick`'s :func:`~matplotlib.axis.Tick.label1On` attribute
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is now used to hide tick labels instead of setting the visibility on the tick
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label objects.
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This improves overall performance and fixes some issues.
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As a consequence, in case those labels ought to be shown,
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:func:`~matplotlib.axes.Axes.tick_params`
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needs to be used, e.g.
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::
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ax.tick_params(labelbottom=True)
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Shading in 3D bar plots

‎lib/matplotlib/figure.py

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+10-10Lines changed: 10 additions & 10 deletions
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@@ -1266,21 +1266,21 @@ def subplots(self, nrows=1, ncols=1, sharex=False, sharey=False,
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- 'col': each subplot column will share an x- or y-axis.
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When subplots have a shared x-axis along a column, only the x tick
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labels of the bottom subplot are visible. Similarly, when
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subplots have a shared y-axis along a row, only the y tick labels
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of the first column subplot are visible.
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labels of the bottom subplot are created. Similarly, when subplots
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have a shared y-axis along a row, only the y tick labels of the
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first column subplot are created. To later turn other subplots'
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ticklabels on, use :meth:`~matplotlib.axes.Axes.tick_params`.
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squeeze : bool, default: True
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squeeze : bool, optional, default: True
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- If True, extra dimensions are squeezed out from the returned
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axis object:
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array of Axes:
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- if only one subplot is constructed (nrows=ncols=1), the
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resulting single Axes object is returned as a scalar.
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- for Nx1 or 1xN subplots, the returned object is a 1D numpy
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object array of Axes objects are returned as numpy 1D
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arrays.
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- for NxM, subplots with N>1 and M>1 are returned as a 2D
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arrays.
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- for Nx1 or 1xM subplots, the returned object is a 1D numpy
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object array of Axes objects.
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- for NxM, subplots with N>1 and M>1 are returned
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as a 2D array.
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- If False, no squeezing at all is done: the returned Axes object
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is always a 2D array containing Axes instances, even if it ends

‎lib/matplotlib/pyplot.py

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+8-7Lines changed: 8 additions & 7 deletions
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@@ -1091,19 +1091,20 @@ def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
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- 'col': each subplot column will share an x- or y-axis.
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When subplots have a shared x-axis along a column, only the x tick
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labels of the bottom subplot are visible. Similarly, when subplots
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labels of the bottom subplot are created. Similarly, when subplots
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have a shared y-axis along a row, only the y tick labels of the first
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column subplot are visible.
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column subplot are created. To later turn other subplots' ticklabels
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on, use :meth:`~matplotlib.axes.Axes.tick_params`.
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squeeze : bool, optional, default: True
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- If True, extra dimensions are squeezed out from the returned Axes
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object:
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- If True, extra dimensions are squeezed out from the returned
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array of Axes:
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- if only one subplot is constructed (nrows=ncols=1), the
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resulting single Axes object is returned as a scalar.
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- for Nx1 or 1xN subplots, the returned object is a 1D numpy
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object array of Axes objects are returned as numpy 1D arrays.
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- for NxM, subplots with N>1 and M>1 are returned as a 2D arrays.
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- for Nx1 or 1xM subplots, the returned object is a 1D numpy
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object array of Axes objects.
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- for NxM, subplots with N>1 and M>1 are returned as a 2D array.
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- If False, no squeezing at all is done: the returned Axes object is
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always a 2D array containing Axes instances, even if it ends up

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