8000 Merge pull request #29400 from Impaler343/missingrefs · matplotlib/matplotlib@ba32c7e · GitHub
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Merge pull request #29400 from Impaler343/missingrefs
Fix/Supress more missing references
2 parents df49afc + 35d270d commit ba32c7e

27 files changed

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-313
lines changed

‎doc/api/toolkits/axisartist.rst

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===========================
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The *axisartist* namespace provides a derived Axes implementation
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(:class:`mpl_toolkits.axisartist.Axes`), designed to support curvilinear
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(:class:`~mpl_toolkits.axisartist.axislines.Axes`), designed to support curvilinear
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grids. The biggest difference is that the artists that are responsible for
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drawing axis lines, ticks, ticklabels, and axis labels are separated out from
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Matplotlib's Axis class.

‎doc/api/toolkits/mplot3d.rst

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===================================
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.. note::
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See :attr:`mpl_toolkits.mplot3d.axis3d._axinfo` for a dictionary containing
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See :attr:`!mpl_toolkits.mplot3d.axis3d._axinfo` for a dictionary containing
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constants that may be modified for controlling the look and feel
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of mplot3d axes (e.g., label spacing, font colors and panel colors).
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Historically, axis3d has suffered from having hard-coded constants

‎doc/missing-references.json

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{
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"py:attr": {
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"cbar_axes": [
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"lib/mpl_toolkits/axes_grid1/axes_grid.py:docstring of mpl_toolkits.axes_grid1.axes_grid.ImageGrid:72"
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],
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"eventson": [
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"lib/matplotlib/widgets.py:docstring of matplotlib.widgets.CheckButtons.set_active:4",
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"lib/matplotlib/widgets.py:docstring of matplotlib.widgets.RadioButtons.set_active:4"
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],
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"fmt_zdata": [
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"lib/mpl_toolkits/mplot3d/axes3d.py:docstring of mpl_toolkits.mplot3d.axes3d.Axes3D.format_zdata:2"
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],
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"height": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.bounds:2"
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],
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"input_dims": [
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.AitoffTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.InvertedAitoffTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.HammerTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.InvertedHammerTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.InvertedLambertTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.LambertTransform.transform_non_affine:14",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.MollweideAxes.MollweideTransform.transform_non_affine:14",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform:8",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform_affine:15",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform_non_affine:14",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.CompositeGenericTransform.transform_affine:15",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform:8",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform_affine:15",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform_non_affine:14"
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],
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"lines": [
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"lib/matplotlib/colorbar.py:docstring of matplotlib.colorbar.Colorbar.add_lines:4"
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],
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"matplotlib.axes.Axes.patch": [
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"doc/tutorials/artists.rst:185",
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"doc/tutorials/artists.rst:424"
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],
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"matplotlib.axes.Axes.patches": [
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"doc/tutorials/artists.rst:462"
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],
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"matplotlib.axes.Axes.transAxes": [
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"lib/mpl_toolkits/axes_grid1/anchored_artists.py:docstring of mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows:8"
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],
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"matplotlib.axes.Axes.transData": [
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"lib/mpl_toolkits/axes_grid1/anchored_artists.py:docstring of mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox:11",
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"lib/mpl_toolkits/axes_grid1/anchored_artists.py:docstring of mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar:8"
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],
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"matplotlib.axes.Axes.xaxis": [
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"doc/tutorials/artists.rst:608",
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"doc/users/explain/axes/axes_intro.rst:133"
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],
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"matplotlib.axes.Axes.yaxis": [
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"doc/tutorials/artists.rst:608",
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"doc/users/explain/axes/axes_intro.rst:133"
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],
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"matplotlib.figure.Figure.patch": [
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"doc/tutorials/artists.rst:318"
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],
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"matplotlib.figure.Figure.transFigure": [
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"doc/tutorials/artists.rst:367"
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],
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"max": [
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],
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"min": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.p0:4"
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],
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"mpl_toolkits.mplot3d.axis3d._axinfo": [
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"doc/api/toolkits/mplot3d.rst:66"
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],
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"name": [
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"lib/matplotlib/scale.py:docstring of matplotlib.scale.ScaleBase:8"
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],
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"output_dims": [
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.AitoffTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.InvertedAitoffTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.HammerTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.InvertedHammerTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.InvertedLambertTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.LambertTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.MollweideAxes.InvertedMollweideTransform.transform_non_affine:22",
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"lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.MollweideAxes.MollweideTransform.transform_non_affine:22",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform:16",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform_affine:23",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.AffineBase.transform_non_affine:22",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.CompositeGenericTransform.transform_affine:23",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.CompositeGenericTransform.transform_non_affine:22",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform:16",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform_affine:23",
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.IdentityTransform.transform_non_affine:22"
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],
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"triangulation": [
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"lib/matplotlib/tri/_trirefine.py:docstring of matplotlib.tri._trirefine.UniformTriRefiner.refine_triangulation:2"
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],
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"width": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.bounds:2"
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],
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"xmax": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.x1:4"
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],
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"xmin": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.x0:4"
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],
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"ymax": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.y1:4"
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],
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"ymin": [
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"lib/matplotlib/transforms.py:docstring of matplotlib.transforms.Bbox.y0:4"
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]
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},
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"py:class": {
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"HashableList[_HT]": [
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"<unknown>:1"
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],
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"matplotlib.axes._base._AxesBase": [
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"doc/api/artist_api.rst:202"
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],
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"matplotlib.backend_bases.FigureCanvas": [
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"doc/tutorials/artists.rst:33",
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"doc/tutorials/artists.rst:35",
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"doc/tutorials/artists.rst:40"
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],
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"matplotlib.backend_bases.Renderer": [
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"doc/tutorials/artists.rst:35",
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"doc/tutorials/artists.rst:40"
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],
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"matplotlib.backend_bases._Backend": [
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"lib/matplotlib/backend_bases.py:docstring of matplotlib.backend_bases.ShowBase:1"
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],
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"<unknown>:1",
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"doc/api/_as_gen/mpl_toolkits.axes_grid1.parasite_axes.rst:30:<autosummary>:1"
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],
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"mpl_toolkits.axisartist.Axes": [
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"doc/api/toolkits/axisartist.rst:6"
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],
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"mpl_toolkits.axisartist.axisline_style.AxislineStyle._Base": [
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"lib/mpl_toolkits/axisartist/axisline_style.py:docstring of mpl_toolkits.axisartist.axisline_style.AxislineStyle.SimpleArrow:1"
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],
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"<unknown>:1"
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]
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},
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"py:data": {
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"matplotlib.axes.Axes.transAxes": [
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"lib/matplotlib/axes/_axes.py:docstring of matplotlib.axes._axes.Axes.legend:250",
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"lib/matplotlib/figure.py:docstring of matplotlib.figure.FigureBase.legend:251",
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"lib/matplotlib/legend.py:docstring of matplotlib.legend.Legend:209",
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"lib/matplotlib/pyplot.py:docstring of matplotlib.pyplot.figlegend:251",
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"lib/matplotlib/pyplot.py:docstring of matplotlib.pyplot.legend:250"
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]
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},
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"py:meth": {
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"AbstractPathEffect._update_gc": [
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"lib/matplotlib/patheffects.py:docstring of matplotlib.patheffects.SimpleLineShadow:44",
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"lib/matplotlib/patheffects.py:docstring of matplotlib.patheffects.SimplePatchShadow:42",
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"lib/matplotlib/patheffects.py:docstring of matplotlib.patheffects.TickedStroke:57",
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"lib/matplotlib/patheffects.py:docstring of matplotlib.patheffects.withSimplePatchShadow:51",
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"lib/matplotlib/patheffects.py:docstring of matplotlib.patheffects.withTickedStroke:56"
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],
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"IPython.terminal.interactiveshell.TerminalInteractiveShell.inputhook": [
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"doc/users/explain/figure/interactive_guide.rst:420"
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],
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"_find_tails": [
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"lib/matplotlib/quiver.py:docstring of matplotlib.quiver.Barbs:9"
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"_make_barbs": [
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],
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"matplotlib.collections._CollectionWithSizes.set_sizes": [
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"lib/matplotlib/axes/_axes.py:docstring of matplotlib.axes._axes.Axes.barbs:180",
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"py:obj": {
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"Artist.stale_callback": [
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"doc/users/explain/figure/interactive_guide.rst:323"
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],
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"Figure.stale_callback": [
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"doc/users/explain/figure/interactive_guide.rst:333"
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],
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"Image": [
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"lib/matplotlib/pyplot.py:docstring of matplotlib.pyplot.gci:4"
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"Line2D.pick": [
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"doc/users/explain/figure/event_handling.rst:571"
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"Rectangle.contains": [
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"doc/users/explain/figure/event_handling.rst:285"
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"Size.from_any": [
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"lib/mpl_toolkits/axes_grid1/axes_grid.py:docstring of mpl_toolkits.axes_grid1.axes_grid.ImageGrid:87"
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],
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"Timer": [
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"lib/matplotlib/backend_bases.py:docstring of matplotlib.backend_bases.FigureCanvasBase.new_timer:2",
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"lib/matplotlib/backend_bases.py:docstring of matplotlib.backend_bases.TimerBase:14"
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"ToolContainer": [
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"_iter_collection": [
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"lib/matplotlib/backend_bases.py:docstring of matplotlib.backend_bases.RendererBase.draw_path_collection:15",
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"lib/matplotlib/backends/backend_ps.py:docstring of matplotlib.backends.backend_ps.RendererPS.draw_path_collection:15",
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"lib/matplotlib/backends/backend_svg.py:docstring of matplotlib.backends.backend_svg.RendererSVG.draw_path_collection:15",
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"_iter_collection_raw_paths": [
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"lib/matplotlib/backends/backend_ps.py:docstring of matplotlib.backends.backend_ps.RendererPS.draw_path_collection:15",
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"_read": [
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"ax.transAxes": [
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"can_composite": [
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"converter": [
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"draw_image": [
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"fmt_xdata": [
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"fmt_ydata": [
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"get_size": [
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"kde.covariance_factor": [
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"kde.factor": [
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"make_image": [
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"matplotlib.animation.ArtistAnimation.new_frame_seq": [
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"mpl_toolkits.axislines.Axes": [
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"option_scale_image": [
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],
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"toggled": [
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"lib/matplotlib/backend_tools.py:docstring of matplotlib.backend_tools.AxisScaleBase.trigger:2",
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‎galleries/users_explain/axes/axes_intro.rst

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Each Axes has two (or more) `~.axis.Axis` objects, that can be accessed via :attr:`~matplotlib.axes.Axes.xaxis` and :attr:`~matplotlib.axes.Axes.yaxis` properties. These have substantial number of methods on them, and for highly customizable Axis-es it is useful to read the API at `~.axis.Axis`. However, the Axes class offers a number of helpers for the most common of these methods. Indeed, the `~.axes.Axes.set_xlabel`, discussed above, is a helper for the `~.Axis.set_label_text`.
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Each Axes has two (or more) `~.axis.Axis` objects, that can be accessed via :attr:`!matplotlib.axes.Axes.xaxis` and :attr:`!matplotlib.axes.Axes.yaxis` properties. These have substantial number of methods on them, and for highly customizable Axis-es it is useful to read the API at `~.axis.Axis`. However, the Axes class offers a number of helpers for the most common of these methods. Indeed, the `~.axes.Axes.set_xlabel`, discussed above, is a helper for the `~.Axis.set_label_text`.
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Other important methods set the extent on the axes (`~.axes.Axes.set_xlim`, `~.axes.Axes.set_ylim`), or more fundamentally the scale of the axes. So for instance, we can make an Axis have a logarithmic scale, and zoom in on a sub-portion of the data:
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‎galleries/users_explain/figure/interactive.rst

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the inline backend, is not. `!ipykernel.pylab.backend_inline`
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renders the figure once and inserts a static image into the
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cannot be panned / zoomed, take user input, or be updated from other

‎galleries/users_explain/figure/interactive_guide.rst

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Each artist has a `.Artist.stale_callback` attribute which holds a callback
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Each artist has a `!Artist.stale_callback` attribute which holds a callback
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with the signature ::
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def callback(self: Artist, val: bool) -> None:
@@ -339,7 +339,7 @@ default callback is `None`. If you call `.pyplot.ion` and are not in
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`~.backend_bases.FigureCanvasBase.draw_idle` on any stale figures
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after having executed the user's input, but before returning the 9FE6 prompt
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to the user. If you are not using `.pyplot` you can use the callback
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`Figure.stale_callback` attribute to be notified when a figure has
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`!Figure.stale_callback` attribute to be notified when a figure has
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become stale.
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@@ -420,7 +420,7 @@ IPython / prompt_toolkit
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With IPython >= 5.0 IPython has changed from using CPython's readline
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based prompt to a ``prompt_toolkit`` based prompt. ``prompt_toolkit``
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has the same conceptual input hook, which is fed into ``prompt_toolkit`` via the
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:meth:`IPython.terminal.interactiveshell.TerminalInteractiveShell.inputhook`
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:meth:`!IPython.terminal.interactiveshell.TerminalInteractiveShell.inputhook`
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method. The source for the ``prompt_toolkit`` input hooks lives at
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``IPython.terminal.pt_inputhooks``.
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