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<li><a class="reference internal" href="#">Toolkits</a><ul>

<li><a class="reference internal" href="#basemap">Basemap</a></li>

<li><a class="reference internal" href="#gtk-tools">GTK Tools</a></li>

<li><a class="reference internal" href="#excel-tools">Excel Tools</a></li>

<li><a class="reference internal" href="#natgrid">Natgrid</a></li>

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<li><a class="reference internal" href="#axesgrid">AxesGrid</a></li>

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<div class="toctree-wrapper compound" id="toolkits-index">

<div class="section" id="toolkits">

<h1>Toolkits<a class="headerlink" href="#toolkits" title="Permalink to this headline">¶</a></h1>

<table class="docutils field-list" frame="void" rules="none">

<col class="field-name" />

<col class="field-body" />

<tbody valign="top">

<tr class="field-odd field"><th class="field-name">Release:</th><td class="field-body">1.2.1</td>

<tr class="field-even field"><th class="field-name">Date:</th><td class="field-body">May 29, 2013</td>

<p id="id1">Toolkits are collections of application-specific functions that extend matplotlib.</p>

<div class="section" id="basemap">

<span id="toolkit-basemap"></span><h2>Basemap<a class="headerlink" href="#basemap" title="Permalink to this headline">¶</a></h2>

<p>Plots data on map projections, with continental and political

boundaries, see <a class="reference external" href="http://matplotlib.github.com/basemap">basemap</a>

docs.</p>

<div class="section" id="gtk-tools">

<span id="toolkit-gtk"></span><h2>GTK Tools<a class="headerlink" href="#gtk-tools" title="Permalink to this headline">¶</a></h2>

<p>mpl_toolkits.gtktools provides some utilities for working with GTK.

This toolkit ships with matplotlib, but requires <a class="reference external" href="http://www.pygtk.org/">pygtk</a>.</p>

<div class="section" id="excel-tools">

<span id="toolkit-excel"></span><h2>Excel Tools<a class="headerlink" href="#excel-tools" title="Permalink to this headline">¶</a></h2>

<p>mpl_toolkits.exceltools provides some utilities for working with

Excel. This toolkit ships with matplotlib, but requires

<a class="reference external" href="http://pypi.python.org/pypi/xlwt">xlwt</a></p>

<div class="section" id="natgrid">

<span id="toolkit-natgrid"></span><h2>Natgrid<a class="headerlink" href="#natgrid" title="Permalink to this headline">¶</a></h2>

<p>mpl_toolkits.natgrid is an interface to natgrid C library for gridding

irregularly spaced data. This requires a separate installation of the

natgrid toolkit from the sourceforge <a class="reference external" href="http://sourceforge.net/project/showfiles.php?group_id=80706&amp;package_id=142792">download</a>

page.</p>

<div class="section" id="mplot3d">

<span id="toolkit-mplot3d"></span><h2>mplot3d<a class="headerlink" href="#mplot3d" title="Permalink to this headline">¶</a></h2>

<p>mpl_toolkits.mplot3d provides some basic 3D plotting (scatter, surf,

line, mesh) tools. Not the fastest or feature complete 3D library out

there, but ships with matplotlib and thus may be a lighter weight

solution for some use cases.</p>

<p>See <a class="reference internal" href="mplot3d/index.html#toolkit-mplot3d-index"><em>mplot3d</em></a> for more documentation and examples.</p>

<div class="section" id="axesgrid">

<span id="toolkit-axes-grid"></span><h2>AxesGrid<a class="headerlink" href="#axesgrid" title="Permalink to this headline">¶</a></h2>

<p>The matplotlib AxesGrid toolkit is a collection of helper classes to

ease displaying multiple images in matplotlib. The AxesGrid toolkit is

distributed with matplotlib source.</p>

<img alt="../_images/demo_axes_grid4.png" src="../_images/demo_axes_grid4.png" />

<p>See <a class="reference internal" href="axes_grid/index.html#toolkit-axesgrid-index"><em>Matplotlib AxesGrid Toolkit</em></a> for documentations.</p>

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&copy; Copyright 2013 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team.

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