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Merge remote-tracking branch 'matplotlib/v2.x'
 Conflicts: examples/pylab_examples/custom_cmap.py - unclear what the conflict was lib/matplotlib/tests/test_image.py - whitespace vs imports
2 parents 5c1e64d + b2b37fb commit 1572a7e

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‎doc/api/api_changes.rst‎

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For new features that were added to matplotlib, please see
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:ref:`whats-new`.
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Changes in 2.0.0
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================
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The ``axisbg`` and ``axis_bgcolor`` properties on ``Axes`` have been
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deprecated in favor of ``facecolor``.
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Changes in 1.5.2
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================
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Default Behavior Changes
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------------------------
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Changed default ``autorange`` behavior in boxplots
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``````````````````````````````````````````````````
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Prior to v1.5.2, the whiskers of boxplots would extend to the mininum
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and maximum values if the quartiles were all equal (i.e., Q1 = median
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= Q3). This behavior has been disabled by default to restore consistency
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with other plotting packages.
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To restore the old behavior, simply set ``autorange=True`` when
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calling ``plt.boxplot``.
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Changes in 1.5.0
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================
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the new rcParam `contour.corner_mask` instead. The new default behaviour is
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equivalent to using `corner_mask=True`; the previous behaviour can be obtained
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using `corner_mask=False` or by changing the rcParam. The example
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http://matplotlib.org/examples/pylab_examples/contour_corner_mask.py
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http://matplotlib.org/examples/pylab_examples/contour_corner_mask.html
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demonstrates the difference. Use of the old contouring algorithm, which is
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obtained with `corner_mask='legacy'`, is now deprecated.
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‎doc/api/api_changes/2016-03-13-PMH.rst‎

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‎doc/devel/MEP/MEP12.rst‎

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.. [2] http://github.com/matplotlib/matplotlib/issues/524
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.. [3] http://matplotlib.1069221.n5.nabble.com/Matplotlib-gallery-td762.html#a33379091
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.. [4] http://www.loria.fr/~rougier/teaching/matplotlib/
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.. [5] http://www.gigawiz.com/aagraphs.html
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.. [6] http://www.loria.fr/~rougier/coding/gallery/
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.. [5] http://www.loria.fr/~rougier/coding/gallery/

‎doc/devel/MEP/MEP15.rst‎

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`ylim`), matplotlib currently does not currently rescale the other axis. The
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result is that the displayed curves or symbols may be compressed into a tiny
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portion of the available area, so that the final plot conveys much less
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information than it would with appropriate axis scaling. An example of such a
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plot can be found at the following URL:
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http://phillipmfeldman.org/Python/MEP15.png
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information than it would with appropriate axis scaling.
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The proposed change of behavior would make matplotlib choose the scale for the
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remaining axis using only the data that falls within the limits for the axis

‎doc/devel/gitwash/git_links.inc‎

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.. _why the -a flag?: http://www.gitready.com/beginner/2009/01/18/the-staging-area.html
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.. _git staging area: http://www.gitready.com/beginner/2009/01/18/the-staging-area.html
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.. _tangled working copy problem: http://tomayko.com/writings/the-thing-about-git
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.. _git management: http://kerneltrap.org/Linux/Git_Management
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.. _linux git workflow: http://www.mail-archive.com/[email protected]/msg39091.html
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.. _git parable: http://tom.preston-werner.com/2009/05/19/the-git-parable.html
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.. _git foundation: http://matthew-brett.github.com/pydagogue/foundation.html

‎doc/devel/gitwash/git_resources.rst‎

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There are many ways of working with git_; here are some posts on the
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rules of thumb that other projects have come up with:
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* Linus Torvalds on `git management`_
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* Linus Torvalds on `linux git workflow`_ . Summary; use the git tools
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to make the history of your edits as clean as possible; merge from
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upstream edits as little as possible in branches where you are doing

‎doc/users/credits.rst‎

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Andrew Straw
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Provided much of the log scaling architecture, the fill command, PIL
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support for imshow, and provided many examples. He also wrote the
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support for dropped axis spines and the `buildbot
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<http://mpl-buildbot.code.astraw.com/>`_ unit testing infrastructure
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which triggers the JPL/James Evans platform specific builds and
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regression test image comparisons from svn matplotlib across
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platforms on svn commits.
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support for dropped axis spines and the original buildbot unit
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testing infrastructure which triggered the JPL/James Evans platform
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specific builds and regression test image comparisons from svn
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matplotlib across platforms on svn commits.
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Charles Twardy
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provided the impetus code for the legend class and has made

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