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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>Toolkits — Matplotlib 2.0.0 documentation</title>

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<div id="unreleased-message"> You are reading an old version of the documentation (v2.0.0). For the latest version see <a href="/stable/">https://matplotlib.org/stable/</a> </div>

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<h3><a href="../contents.html">Table Of Contents</a></h3>

<ul>

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

<li><a class="reference internal" href="#mapping-toolkits">Mapping Toolkits</a><ul>

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

<li><a class="reference internal" href="#cartopy">Cartopy</a></li>

</ul>

</li>

<li><a class="reference internal" href="#general-toolkits">General Toolkits</a><ul>

<li><a class="reference internal" href="#mplot3d">mplot3d</a></li>

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

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

<li><a class="reference internal" href="#mpldatacursor">MplDataCursor</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>

<li><a class="reference internal" href="#matplotlib-venn">Matplotlib-Venn</a></li>

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

</ul>

</li>

<li><a class="reference internal" href="#high-level-plotting">High-Level Plotting</a><ul>

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

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

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

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

<li><a class="reference internal" href="#iterm2-terminal-backend">iTerm2 terminal backend</a></li>

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<h3>Related Topics</h3>

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<li><a href="../contents.html">Documentation overview</a><ul>

<li>Previous: <a href="../faq/osx_framework.html" title="previous chapter">Working with Matplotlib on OSX</a></li>

<li>Next: <a href="axes_grid/index.html" title="next chapter">Matplotlib AxesGrid Toolkit</a></li>

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<li><a href="../_sources/mpl_toolkits/index.rst.txt"

rel="nofollow">Show Source</a></li>

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<h3>Quick search</h3>

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</div>

<span id="id1"></span><h1>Toolkits<a class="headerlink" href="#toolkits" title="Permalink to this headline">¶</a></h1>

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

<span id="toolkits-mapping"></span><h2>Mapping Toolkits<a class="headerlink" href="#mapping-toolkits" title="Permalink to this headline">¶</a></h2>

<span id="toolkit-basemap"></span><h3>Basemap<a class="headerlink" href="#basemap" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

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

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

docs.</p>

</div>

<h3>Cartopy<a class="headerlink" href="#cartopy" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p>An alternative mapping library written for matplotlib <code class="docutils literal"><span class="pre">v1.2</span></code> and beyond.

<a class="reference external" href="http://scitools.org.uk/cartopy/docs/latest">Cartopy</a> builds on top of

matplotlib to provide object oriented map projection definitions and close

integration with Shapely for powerful yet easy-to-use vector data processing

tools. An example plot from the

<a class="reference external" href="http://scitools.org.uk/cartopy/docs/latest/gallery.html">Cartopy gallery</a>:</p>

</div>

<span id="toolkits-shipped"></span><h2>General Toolkits<a class="headerlink" href="#general-toolkits" title="Permalink to this headline">¶</a></h2>

<span id="toolkit-mplot3d"></span><h3>mplot3d<a class="headerlink" href="#mplot3d" title="Permalink to this headline">¶</a></h3>

<ul>

<li class="toctree-l1"><a class="reference internal" href="mplot3d/index.html">mplot3d</a><ul>

<li class="toctree-l2"><a class="reference internal" href="mplot3d/index.html#matplotlib-mplot3d-toolkit">Matplotlib mplot3d toolkit</a></li>

</ul>

</li>

</ul>

</div>

<p><a class="reference internal" href="mplot3d/index.html#toolkit-mplot3d-index"><span class="std std-ref">mpl_toolkits.mplot3d</span></a> 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>(<a class="reference external" href="../mpl_examples/mplot3d/contourf3d_demo2.py">Source code</a>, <a class="reference external" href="../mpl_examples/mplot3d/contourf3d_demo2.png">png</a>, <a class="reference external" href="../mpl_examples/mplot3d/contourf3d_demo2.pdf">pdf</a>)</p>

</div>

<span id="toolkit-axes-grid"></span><h3>AxesGrid<a class="headerlink" href="#axesgrid" title="Permalink to this headline">¶</a></h3>

<ul>

<li class="toctree-l1"><a class="reference internal" href="axes_grid/index.html">Matplotlib AxesGrid Toolkit</a><ul>

<li class="toctree-l2"><a class="reference internal" href="axes_grid/users/overview.html">Overview of AxesGrid toolkit</a></li>

<li class="toctree-l2"><a class="reference internal" href="axes_grid/users/index.html">The Matplotlib AxesGrid Toolkit User’s Guide</a></li>

<li class="toctree-l2"><a class="reference internal" href="axes_grid/api/index.html">The Matplotlib AxesGrid Toolkit API</a></li>

<li class="toctree-l2"><a class="reference internal" href="axes_grid/api/index.html#the-matplotlib-axes-grid1-toolkit-api">The Matplotlib axes_grid1 Toolkit API</a></li>

</ul>

</li>

</ul>

</div>

<p>The matplotlib <a class="reference internal" href="axes_grid/index.html#toolkit-axesgrid-index"><span class="std std-ref">AxesGrid</span></a> toolkit is a collection of helper classes to

ease displaying multiple images in matplotlib. The AxesGrid toolkit is

distributed with matplotlib source.</p>

</div>

<span id="toolkit-mplcursors"></span><h3>mplcursors<a class="headerlink" href="#mplcursors" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://mplcursors.readthedocs.io">mplcursors</a> provides interactive

data cursors for matplotlib.</p>

</div>

<span id="toolkit-mpldatacursor"></span><h3>MplDataCursor<a class="headerlink" href="#mpldatacursor" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://github.com/joferkington/mpldatacursor">MplDataCursor</a> is a

toolkit written by Joe Kington to provide interactive “data cursors”

(clickable annotation boxes) for matplotlib.</p>

</div>

<span id="toolkit-gtk"></span><h3>GTK Tools<a class="headerlink" href="#gtk-tools" title="Permalink to this headline">¶</a></h3>

<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>

<span id="toolkit-excel"></span><h3>Excel Tools<a class="headerlink" href="#excel-tools" title="Permalink to this headline">¶</a></h3>

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

Excel. This toolkit ships with matplotlib, but requires

</div>

<span id="toolkit-natgrid"></span><h3>Natgrid<a class="headerlink" href="#natgrid" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

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

irregularly spaced data. This requires a separate installation of the

<a class="reference external" href="https://github.com/matplotlib/natgrid">natgrid toolkit</a>.</p>

</div>

<span id="toolkit-matplotlibvenn"></span><h3>Matplotlib-Venn<a class="headerlink" href="#matplotlib-venn" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://github.com/konstantint/matplotlib-venn">Matplotlib-Venn</a> provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams.</p>

</div>

<h3>mplstereonet<a class="headerlink" href="#mplstereonet" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://github.com/joferkington/mplstereonet">mplstereonet</a> provides stereonets for plotting and analyzing orientation data in Matplotlib.</p>

</div>

<span id="hl-plotting"></span><h2>High-Level Plotting<a class="headerlink" href="#high-level-plotting" title="Permalink to this headline">¶</a></h2>

<p>Several projects have started to provide a higher-level interface to

matplotlib. These are independent projects.</p>

<span id="toolkit-seaborn"></span><h3>seaborn<a class="headerlink" href="#seaborn" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://seaborn.github.io/">seaborn</a> is a high level interface for drawing

statistical graphics with matplotlib. It aims to make visualization a central

part of exploring and understanding complex datasets.</p>

</div>

<span id="toolkit-holoviews"></span><h3>holoviews<a class="headerlink" href="#holoviews" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="http://holoviews.org">holoviews</a> makes it easier to visualize data

interactively, especially in a <a class="reference external" href="http://jupyter.org">Jupyter notebook</a>, by providing a set of declarative

plotting objects that store your data and associated metadata. Your

data is then immediately visualizable alongside or overlaid with other

data, either statically or with automatically provided widgets for

parameter exploration.</p>

</div>

<span id="toolkit-ggplot"></span><h3>ggplot<a class="headerlink" href="#ggplot" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://github.com/yhat/ggplot">ggplot</a> is a port of the R ggplot2

to python based on matplotlib.</p>

</div>

<span id="toolkit-prettyplotlib"></span><h3>prettyplotlib<a class="headerlink" href="#prettyplotlib" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://olgabot.github.io/prettyplotlib">prettyplotlib</a> is an extension

to matplotlib which changes many of the defaults to make plots some

consider more attractive.</p>

</div>

<h3>iTerm2 terminal backend<a class="headerlink" href="#iterm2-terminal-backend" title="Permalink to this headline">¶</a></h3>

<p>(<em>Not distributed with matplotlib</em>)</p>

<p><a class="reference external" href="https://github.com/oselivanov/matplotlib_iterm2">matplotlib_iterm2</a> is an

external matplotlib backend uses iTerm2 nightly build inline image display

feature.</p>

</div>

</div>

Last updated on Feb 20, 2017.

Created using <a

href="http://sphinx-doc.org/">Sphinx</a> 1.5.2.

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matplotlib.github.com/2.0.0/mpl_toolkits/index.html at main · matplotlib/matplotlib.github.com · GitHub

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