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SidharthBansalSidharthBansal
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Merge branch 'master' of https://github.com/matplotlib/matplotlib into file_name_made_more_understandable
2 parents 91920e4 + 348e9fe commit 25303ee

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‎azure-pipelines.yml

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@@ -120,3 +120,7 @@ steps:
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testResultsFiles: '**/test-results.xml'
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testRunTitle: 'Python $(python.version)'
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condition: succeededOrFailed()
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- publish: $(System.DefaultWorkingDirectory)/result_images
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artifact: $(Agent.JobName)-result_images
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condition: and(failed(), ne(variables['python.version'], 'Pre'))

‎doc/api/api_changes_3.3/deprecations.rst

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@@ -422,3 +422,7 @@ Setting the *orientation* of an ``eventplot()`` or `.EventCollection` to "none"
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or None is deprecated; set it to "horizontal" instead. Moreover, the two
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orientations ("horizontal" and "vertical") will become case-sensitive in the
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future.
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*minor* kwarg to `.Axis.get_ticklocs` will become keyword-only
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Passing this argument positionally is deprecated.

‎doc/conf.py

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@@ -102,7 +102,9 @@ def _check_dependencies():
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else:
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autodoc_default_options = {'members': None, 'undoc-members': None}
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nitpicky = True
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# missing-references names matches sphinx>=3 behavior, so we can't be nitpicky
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# for older sphinxes.
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nitpicky = sphinx.version_info >= (3,)
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# change this to True to update the allowed failures
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missing_references_write_json = False
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missing_references_warn_unused_ignores = False

‎doc/devel/documenting_mpl.rst

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@@ -289,12 +289,14 @@ Other packages can also be linked via
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`numpy.mean`
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will return this link: `numpy.mean`. This works for Python, Numpy, Scipy,
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and Pandas (full list is in :file:`doc/conf.py`). Sometimes it is tricky
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to get external Sphinx linking to work; to
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check that a something exists to link to the following shell command outputs
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a list of all objects that can be referenced (in this case for Numpy)::
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and Pandas (full list is in :file:`doc/conf.py`). If external linking fails,
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you can check the full list of referenceable objects with the following
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commands::
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python -m sphinx.ext.intersphinx 'https://docs.python.org/3/objects.inv'
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python -m sphinx.ext.intersphinx 'https://docs.scipy.org/doc/numpy/objects.inv'
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python -m sphinx.ext.intersphinx 'https://docs.scipy.org/doc/scipy/reference/objects.inv'
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python -m sphinx.ext.intersphinx 'https://pandas.pydata.org/pandas-docs/stable/objects.inv'
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.. _rst-figures-and-includes:
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‎doc/missing-references.json

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‎lib/matplotlib/_pylab_helpers.py

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@@ -57,6 +57,8 @@ def destroy(cls, num):
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manager = num
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if cls.figs.get(manager.num) is manager:
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cls.figs.pop(manager.num)
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else:
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return
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else:
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try:
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manager = cls.figs.pop(num)

‎lib/matplotlib/axes/_axes.py

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@@ -5326,10 +5326,18 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
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Display data as an image; i.e. on a 2D regular raster.
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The input may either be actual RGB(A) data, or 2D scalar data, which
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will be rendered as a pseudocolor image. Note: For actually displaying
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a grayscale image set up the color mapping using the parameters
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will be rendered as a pseudocolor image. For displaying a grayscale
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image set up the color mapping using the parameters
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``cmap='gray', vmin=0, vmax=255``.
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The number of pixels used to render an image is set by the axes size
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and the *dpi* of the figure. This can lead to aliasing artifacts when
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the image is resampled because the displayed image size will usually
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not match the size of *X* (see
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:doc:`/gallery/images_contours_and_fields/image_antialiasing`).
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The resampling can be controlled via the *interpolation* parameter
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and/or :rc:`image.interpolation`.
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Parameters
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----------
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X : array-like or PIL image
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The filter radius for filters that have a radius parameter, i.e.
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when interpolation is one of: 'sinc', 'lanczos' or 'blackman'.
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resample : bool, optional
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resample : bool, default: :rc:`image.resample`
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When *True*, use a full resampling method. When *False*, only
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resample when the output image is larger than the input image.
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