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hide colorbar_doc a bit
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doc/_templates/indexsidebar.html

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@@ -28,7 +28,7 @@ <h3>Need help?</h3>
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and join the matplotlib
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mailing <a href="http://sourceforge.net/mail/?group_id=80706">lists</a>.
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The <a href="{{ pathto('search') }}">search</a> tool searches all of
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the documentation, including full text search of almost 300 complete
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the documentation, including full text search of over 350 complete
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examples which exercise almost every corner of matplotlib.</p>
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<p>You can file bugs, patches and feature requests on the

doc/users/credits.rst

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Jeremy O'Donoghue
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wrote the wx backend
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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
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Andrew Straw provided much of the log scaling architecture, the fill
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command, PIL support for imshow, and provided many examples. He
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also wrote the support for dropped axis spines.
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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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made many enhancements to errorbar to support x and y
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errorbar plots, and added a number of new marker types to plot.
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John Gill
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wrote the table class and examples, helped with support for
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auto-legend placement, and added support for legending scatter
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most aspects of matplotlib.
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Daishi Harada
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added support for "Dashed Text". See ` dashpointlabel.py
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added support for "Dashed Text". See `dashpointlabel.py
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<examples/pylab_examples/dashpointlabel.py>`_ and
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:class:`~matplotlib.text.TextWithDash`.
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Charlie Moad
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contributed work to matplotlib's Cocoa support and does the binary
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builds and releases.
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contributed work to matplotlib's Cocoa support and has done a lot of work on the OSX and win32 binary releases.
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Jouni K. Seppaenen
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wrote the PDF backend.
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Jouni K. Seppaenen wrote the PDF backend and contributed numerous
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fixes to the code, to tex support and to the get_sample_data handler
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Paul Kienzle
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improved the picking infrastruture for interactive plots, and with
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matplotlib, and Jonathon Taylor and Reinier Heeres ported it to the
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refactored transform trunk.
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Jae-Joon Lee implemented fancy arrows and boxes, rewrote the legend
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support to handle multiple columns and fancy text boxes, wrote the
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axes grid toolkit, and has made numerous contributions to the code
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and documentation

doc/users/screenshots.rst

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.. plot:: mpl_examples/api/path_patch_demo.py
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.. _screenshots_mplot3d_surface:
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mplot3d
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=========
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The mplot3d toolkit (see :ref:`toolkit_mplot3d-tutorial` and
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:ref:`mplot3d-examples-index`) has support for simple 3d graphs
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including surface, wireframe, scatter, and bar charts (added in
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matlpotlib-0.99). Thanks to John Porter, Jonathon Taylor and Reinier
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Heeres for the mplot3d toolkit. The toolkit is included with all
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standard matplotlib installs.
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.. plot:: mpl_examples/mplot3d/surface3d_demo.py
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.. _screenshots_ellipse_demo:
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Ellipses
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========
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doc/users/whats_new.rst

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Reinier Heeres has ported John Porter's mplot3d over to the new
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matplotlib transformations framework, and it is now available as a
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toolkit mpl_toolkits.mplot3d. See the `examples
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<http://matplotlib.sourceforge.net/examples/mplot3d/index.html>`_ and
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toolkit mpl_toolkits.mplot3d (which now comes standard with all mpl
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installs). See :ref:`mplot3d-examples-index` and
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:ref:`toolkit_mplot3d-tutorial`
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.. plot:: pyplots/whats_new_99_mplot3d.py
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axes grid toolkit
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-----------------
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Jae Joon has added a new toolkit to ease displaying multiple images in
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Jae-Joon Lee has added a new toolkit to ease displaying multiple images in
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matplotlib, as well as some support for curvilinear grids to support
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the world coordinate system. See :ref:`axes_grid_users-guide-index`
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and `examples <http://matplotlib.sourceforge.net/examples/axes_grid/index.html>`_
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the world coordinate system. The toolkit is included standard with all
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new mpl installs. See :ref:`axes_grid-examples-index` and
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:ref:`axes_grid_users-guide-index`.
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.. plot:: pyplots/whats_new_99_axes_grid.py
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lib/matplotlib/pyplot.py

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## Plotting part 1: manually generated functions and wrappers ##
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from matplotlib.colorbar import colorbar_doc
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from matplotlib.colorbar import colorbar_doc as _colorbar_doc
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def colorbar(mappable=None, cax=None, ax=None, **kw):
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if mappable is None:
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mappable = gci()
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ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
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draw_if_interactive()
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return ret
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colorbar.__doc__ = colorbar_doc
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colorbar.__doc__ = _colorbar_doc
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def clim(vmin=None, vmax=None):
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"""

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