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Commit 64e3674

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tranansotrananso
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Release note, deprecation notices, doc changes
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‎doc/_static/transforms.png

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‎doc/api/next_api_changes/deprecations/28098-AT.rst

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``Affine2DBase``, ``BlendedAffine2D`` and ``CompositeAffine2D``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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...are deprecated and replaced with ``AffineImmutable``, ``BlendedAffine``, and
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``CompositeAffine`` respectively.

‎doc/api/transformations.rst

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.. automodule:: matplotlib.transforms
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:members: TransformNode, BboxBase, Bbox, TransformedBbox, Transform,
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TransformWrapper, AffineBase, Affine2DBase, Affine2D, IdentityTransform,
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BlendedGenericTransform, BlendedAffine2D, blended_transform_factory,
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CompositeGenericTransform, CompositeAffine2D,
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composite_transform_factory, BboxTransform, BboxTransformTo,
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TransformWrapper, AffineBase, AffineImmutable, Affine2DBase, Affine2D,
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IdentityTransform, BlendedGenericTransform, BlendedAffine, BlendedAffine2D,
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blended_transform_factory, CompositeGenericTransform, CompositeAffine,
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CompositeAffine2D, composite_transform_factory, BboxTransform, BboxTransformTo,
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BboxTransformFrom, ScaledTranslation, TransformedPath, nonsingular,
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interval_contains, interval_contains_open
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:show-inheritance:

‎doc/users/next_whats_new/non_2d_transforms.rst

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Added support for Non 2-dimensional transforms
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----------------------------------------------
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Support has been added for transforms in matplotlib that aren't 2D.
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``AffineImmutable`` directly replaces ``Affine2DBase``, and introduces a ``dims``
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keyword that specifies the dimension of the transform, defaulting to 2.
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``BlendedAffine`` directly replaces ``BlendedAffine2D``, and can blend more than
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two transforms, with each transform handling a different axis.
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``CompositeAffine`` directly replaces ``CompositeAffine2D``, and composes two Affine
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transforms, as long as they have the same dimensions.
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``IdentityTransform`` can create identity matrices of any dimension, through the use of
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the ``dims`` keyword.

‎doc/users/prev_whats_new/whats_new_1.4.rst

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Support for skewed transformations
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``````````````````````````````````
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The :class:`~matplotlib.transforms.Affine2D` gained additional methods
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`.skew` and `.skew_deg` to create skewed transformations. Additionally,
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matplotlib internals were cleaned up to support using such transforms in
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`~matplotlib.axes.Axes`. This transform is important for some plot types,
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specifically the Skew-T used in meteorology.
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:func:`~matplotlib.transforms.Affine2D.skew` and
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:func:`~matplotlib.transforms.Affine2D.skew_deg` to create skewed transformations.
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Additionally, matplotlib internals were cleaned up to support using such transforms in
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`~matplotlib.axes.Axes`. This transform is important for some plot types, specifically
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the Skew-T used in meteorology.
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.. figure:: ../../gallery/specialty_plots/images/sphx_glr_skewt_001.png
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:target: ../../gallery/specialty_plots/skewt.html

‎galleries/tutorials/artists.py

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# In [268]: print(rect.get_data_transform())
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# CompositeGenericTransform(
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# TransformWrapper(
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# BlendedAffine2D(
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# BlendedAffine(
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# IdentityTransform(),
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# IdentityTransform())),
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# CompositeGenericTransform(
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# BboxTransformFrom(
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# TransformedBbox(
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# Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),
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# TransformWrapper(
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# BlendedAffine2D(
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# BlendedAffine(
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# IdentityTransform(),
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# IdentityTransform())))),
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# BboxTransformTo(
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# In [269]: print(ax.transData)
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# CompositeGenericTransform(
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# TransformWrapper(
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# BlendedAffine2D(
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# BlendedAffine(
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# IdentityTransform(),
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# IdentityTransform())),
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# CompositeGenericTransform(
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# BboxTransformFrom(
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# TransformedBbox(
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# Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),
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# TransformWrapper(
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# BlendedAffine2D(
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# BlendedAffine(
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# IdentityTransform(),
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# IdentityTransform())))),
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# BboxTransformTo(

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