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Merge pull request #427 from WeatherGod/docfix/v1.1.0-polish
Final documentation polish for v1.1.0 release
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‎doc/api/animation_api.rst‎

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*********
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animation
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*********
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:mod:`matplotlib.animation`
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===========================
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.. automodule:: matplotlib.animation
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:members:
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:undoc-members:
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:show-inheritance:

‎doc/api/api_changes.rst‎

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This chapter is a log of changes to matplotlib that affect the
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outward-facing API. If updating matplotlib breaks your scripts, this
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list may help describe what changes may be necessary in your code.
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list may help describe what changes may be necessary in your code or
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help figure out possible sources of the changes you are experiencing.
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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 1.1.x
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================
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* In :meth:`~matplotlib.pyplot.imshow`, setting *interpolation* to 'nearest'
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will now always mean that the nearest-neighbor interpolation is performed.
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If you want the no-op interpolation to be performed, choose 'none'.
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* There were errors in how the tri-functions were handling input parameters
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that had to be fixed. If your tri-plots are not working correctly anymore,
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or you were working around apparent mistakes, please see issue #203 in the
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github tracker. When in doubt, use kwargs.
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* The 'symlog' scale had some bad behavior in previous versions. This has now
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been fixed and users should now be able to use it without frustrations.
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The fixes did result in some minor changes in appearance for some users who
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may have been depending on the bad behavior.
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* There is now a common set of markers for all plotting functions. Previously,
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some markers existed only for :meth:`~matplotlib.pyplot.scatter` or just for
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:meth:`~matplotlib.pyplot.plot`. This is now no longer the case. This merge
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did result in a conflict. The string 'd' now means "thin diamond" while
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'D' will mean "regular diamond".
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Changes beyond 0.99.x
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=====================
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* The :meth:`matplotlib.axes.Axes.hist` *color* kwarg now accepts
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a sequence of color specs to match a sequence of datasets.
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* The :class:'~matplotlib.collections.EllipseCollection' has been
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* The :class:`~matplotlib.collections.EllipseCollection` has been
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changed in two ways:
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+ There is a new *units* option, 'xy', that scales the ellipse with

‎doc/api/index.rst‎

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api_changes.rst
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matplotlib_configuration_api.rst
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afm_api.rst
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animation_api.rst
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artist_api.rst
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axes_api.rst
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axis_api.rst
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index_backend_api.rst
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cbook_api.rst
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cm_api.rst
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collections_api.rst
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figure_api.rst
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font_manager_api.rst
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gridspec_api.rst
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legend_api.rst
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mathtext_api.rst
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mlab_api.rst
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nxutils_api.rst
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path_api.rst
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pyplot_api.rst
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nxutils_api.rst
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spines_api.rst
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ticker_api.rst
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tight_layout_api.rst
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units_api.rst
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index_backend_api.rst
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widgets_api.rst

‎doc/api/legend_api.rst‎

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******
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legend
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******
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:mod:`matplotlib.legend`
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=========================
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.. automodule:: matplotlib.legend
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:members:
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:undoc-members:
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:show-inheritance:

‎doc/api/tight_layout_api.rst‎

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************
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tight_layout
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************
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:mod:`matplotlib.tight_layout`
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==============================
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.. automodule:: matplotlib.tight_layout
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:members:
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:undoc-members:
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:show-inheritance:

‎doc/mpl_toolkits/mplot3d/api.rst‎

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.. automodule:: mpl_toolkits.mplot3d.axes3d
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:undoc-members:
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:members:
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:undoc-members:
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.. _toolkit_mplot3d-artapi:
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.. automodule:: mpl_toolkits.mplot3d.art3d
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:undoc-members:
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.. _toolkit_mplot3d-projapi:
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.. automodule:: mpl_toolkits.mplot3d.proj3d
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:members:
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:undoc-members:
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:show-inheritance:
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‎doc/users/legend_guide.rst‎

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Legend guide
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************
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Do not proceed unless you already have read :func:`~matplotlib.pyplot.legend` and
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:class:`matplotlib.legend.Legend`!
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Do not proceed unless you already have read :func:`~matplotlib.pyplot.legend`
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and :class:`matplotlib.legend.Legend`!
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What to be displayed
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(python string). However, it does not return all of its child
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artists. It returns artists that are currently supported by matplotlib.
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For matplotlib v1.0 and before, the supported artists are as follows.
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For matplotlib v1.0 and earlier, the supported artists are as follows.
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* :class:`~matplotlib.lines.Line2D`
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* :class:`~matplotlib.patches.Patch`
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.. plot:: users/plotting/examples/simple_legend02.py
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.. _legend-complex-plots:
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Legend of Complex Plots
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=======================
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In matplotlib v1.1 (FIXME when released) and later, the legend is
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In matplotlib v1.1 and later, the legend is
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improved to support more plot commands and ease the customization.
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Artist Container
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legend([b1], ["Bar 1"])
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At this time of writing, however, "bar" and "errorbar" are only
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At this time of writing, however, only "bar", "errorbar", and "stem" are
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supported (hopefully the list will increase). Here is an example.
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Legend Handler
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--------------
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One of the change is that drawing of legend handles is delegated to
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One of the changes is that drawing of legend handles has been delegated to
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legend handlers. For example, :class:`~matplotlib.lines.Line2D`
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instances are handled by
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2. if not, iterate over type(p_i).mro() until a matching key is found in the handler_map
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1. check if *p_i* is in the handler_map
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2. if not, iterate over type(p_i).mro() until a matching key is found
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in the handler_map
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* ...
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The legend command takes an optional argument of "handler_map". When
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The legend() command takes an optional argument of "handler_map". When
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In the above example, only *p1* will be handled by *my_handler*, while
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The curent default handler_map has handlers for errobar and bar
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The curent default handler_map has handlers for errorbar and bar
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plots. Also, it includes an entry for `tuple` which is mapped to
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`HandlerTuple`. It simply overplots all the handles for items in the
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`HandlerTuple`. It simply plots over all the handles for items in the
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given tuple. For example,
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create relevant artists (using relevant properties from the *legend*
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and/or *orig_handle*) and add them into the handlebox. The artists
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needs to be scaled according to the fontsize (note that the size is in
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pixel, i.e., this is dpi-scaled value). See legend_handler.py for more
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details.
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pixel, i.e., this is dpi-scaled value). See :mod:`~matplotlib.legend_handler`
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for more details.

‎doc/users/whats_new.rst‎

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This page just covers the highlights -- for the full story, see the
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`CHANGELOG <http://matplotlib.sourceforge.net/_static/CHANGELOG>`_
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.. _whats-new-1-1:
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new in matplotlib-1.1
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=====================
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Animation
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---------
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Ryan May invested significant effort to create a backend-independent
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framework for creating animated figures. The :mod:`~matplotlib.animation`
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module is intended to replace the difficult-to-understand,
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backend-specific examples that used to exist in the :ref:`examples-index`
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listings.
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This framework should be considered a beta feature for matplotlib, but
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we highly encourage users to try it out and provide feedback.
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Check out the :ref:`animation-examples-index` and try them out!
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Tight Layout
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------------
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A frequent issue raised by users of matplotlib is the lack of a layout
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engine to nicely space out elements of the plots. While matplotlib still
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adheres to the philosphy of giving users complete control over the placement
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of plot elements, Jae-Joon Lee created the :mod:`~matplotlib.tight_layout`
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module to address the most common layout issues.
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:mod:`~matplotlib.tight_layout` will adjust the spacing between subplots
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so that the axis labels do not overlap with neighboring subplots. A
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:ref:`plotting-guide-tight-layout` has been created to show how to use
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this new tool.
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Full IPython 0.11 compatibility
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-------------------------------
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The `IPython <http://ipython.org>`_ team has recently released v0.11 of
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their interactive python shell. The matplotlib and IPython teams worked
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to ensure that our packages work well together. This release of matplotlib
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is fully compatible with ipython.
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Legend
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------
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Jae-Joon Lee has also been working on revamping how plot legends are handled
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in matplotlib. This has resulted in some immediate enhancements. First,
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legends for complex plots such as :meth:`~matplotlib.pyplot.stem` plots
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will now display correctly. Second, the 'best' placement of a legend has
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been improved in the presence of NANs.
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See :ref:`legend-complex-plots` for more detailed explanation and
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examples.
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.. plot:: mpl_examples/pylab_examples/legend_demo4.py
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mplot3d
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-------
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In continuing the efforts to make 3D plotting in matplotlib just as easy
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as 2D plotting, Ben Root has made several improvements to the
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:mod:`~mpl_toolkits.mplot3d` module.
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* :class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` has been
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improved to bring the class towards feature-parity with regular
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Axes objects
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* Documentation for :ref:`toolkit_mplot3d-index` was significantly expanded
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* Axis labels and orientation improved
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* Most 3D plotting functions now support empty inputs
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* Ticker offset display added:
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.. plot:: mpl_examples/mplot3d/offset_demo.py
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* :meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.contourf`
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gains *zdir* and *offset* kwargs. You can now do this:
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Numerix support removed
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-----------------------
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After more than two years of deprecation warnings, Numerix support has
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Markers
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-------
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The list of available markers for :meth:`~matplotlib.pyplot.plot` and
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:meth:`~matplotlib.pyplot.scatter` has now been merged. While they
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were mostly similar, some markers existed for one function, but not
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the other. This merge did result in a conflict for the 'd' diamond
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marker. Now, 'd' will be interpreated to always mean "thin" diamond
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while 'D' will mean "regular" diamond.
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Thanks to Michael Droettboom for this effort.
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Other improvements
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------------------
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* Unit support for polar axes and :func:`~matplotlib.axes.Axes.arrow`
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* :class:`~matplotlib.projections.polar.PolarAxes` gains getters and setters for
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"theta_direction", and "theta_offset" to allow for theta to go in
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either the clock-wise or counter-clockwise direction and to specify where zero
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degrees should be placed.
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:meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location` is an
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added convenience function.
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* Fixed error in argument handling for tri-functions such as
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:meth:`~matplotlib.pyplot.tripcolor`
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* ``axes.labelweight`` parameter added to rcParams.
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* For :meth:`~matplotlib.pyplot.imshow`, *interpolation='nearest'* will
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now always perform an interpolation. A "none" option has been added to
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indicate no interpolation at all.
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* An error in the Hammer projection has been fixed.
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* *clabel* for :meth:`~matplotlib.pyplot.contour` now accepts a callable.
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Thanks to Daniel Hyams for the original patch!
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* Jae-Joon Lee added the :class:`~mpl_toolkits.axes_grid1.axes_divider.HBox`
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and :class:`~mpl_toolkits.axes_grid1.axes_divider.VBox` classes.
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* Christoph Gohike improved memory usage in :meth:`~matplotlib.pyplot.imshow`.
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* :meth:`~matplotlib.pyplot.scatter` now accepts empty inputs.
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* The behavior for 'symlog' scale has been fixed, but this may result
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in some minor changes to existing plots.
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.. _whats-new-1-0:
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Additionally, he has contributed a new module `matplotlib.tri` and
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Additionally, he has contributed a new module :mod:`~matplotlib.tri` and
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helper function :func:`~matplotlib.pyplot.triplot` for creating and
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Michiel de Hoon.
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.. _whats-new-0-99:
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======================
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