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<div class="section" id="matplotlib-visualization-with-python">

<h1>Matplotlib: Visualization with Python<a class="headerlink" href="#matplotlib-visualization-with-python" title="Permalink to this headline">¶</a></h1>

<p>Matplotlib is a comprehensive library for creating static, animated,

and interactive visualizations in Python.</p>

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<span class="clear_screenshots"></span><p>Matplotlib makes easy things easy and hard things possible.</p>

<div class="bullet-box-container docutils container">

<div class="bullet-box docutils container">

<p>Create</p>

<ul class="simple">

<li>Develop <a class="reference external" href="https://matplotlib.org/gallery/index.html">publication quality plots</a> with just a few lines of code</li>

<li>Use <a class="reference external" href="https://matplotlib.org/gallery/index.html#event-handling">interactive figures</a> that can zoom, pan, update...</li>

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<p>Customize</p>

<ul class="simple">

<li><a class="reference external" href="https://matplotlib.org/tutorials/index.html#tutorials">Take full control</a> of line styles, font properties, axes properties...</li>

<li><a class="reference external" href="https://matplotlib.org/api/index_backend_api.html">Export and embed</a> to a number of file formats and interactive environments</li>

<div class="bullet-box docutils container">

<p>Extend</p>

<ul class="simple">

<li>Explore tailored functionality provided by

<a class="reference internal" href="thirdpartypackages/index.html"><span class="doc">third party packages</span></a></li>

<li>Learn more about Matplotlib through the many

<a class="reference internal" href="resources/index.html"><span class="doc">external learning resources</span></a></li>

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

<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h2>

<p>To get started, read the <a class="reference internal" href="users/index.html"><span class="doc">User's Guide</span></a>.</p>

<p>Trying to learn how to do a particular kind of plot? Check out the

<a class="reference internal" href="gallery/index.html"><span class="doc">examples gallery</span></a> or the <a class="reference internal" href="api/pyplot_summary.html"><span class="doc">list of plotting commands</span></a>.</p>

<div class="section" id="join-our-community">

<h2>Join our community!<a class="headerlink" href="#join-our-community" title="Permalink to this headline">¶</a></h2>

<p>Matplotlib is a welcoming, inclusive project, and we follow the <a class="reference external" href="https://www.python.org/psf/conduct/">Python

Software Foundation Code of Conduct</a> in everything we do.</p>

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the <a href="api/index.html">API</a> docs. The full text

<a href="search.html">search</a> is a good way to discover the docs including the many examples.</p>

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<li>See cool plots on <a href="https://www.instagram.com/matplotart/">@matplotart</a> Instagram!</li>

<li>Check out our <a href="https://matplotlib.org/matplotblog/">Blog</a>!</li>

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<p>Matplotlib is hosted on <a href="https://github.com/matplotlib/matplotlib">GitHub</a>.</p>

<ul>

<li>File bugs and feature requests on the <a href="https://github.com/matplotlib/matplotlib/issues">issue tracker</a>.</li>

<li><a href="https://github.com/matplotlib/matplotlib/pulls">Pull requests</a> are always welcome.</li>

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<p>It is a good idea to ping us on <a href="https://discourse.matplotlib.org">Discourse</a> as well.</p>

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

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

<p>Matplotlib ships with several add-on <a class="reference internal" href="api/toolkits/index.html"><span class="doc">toolkits</span></a>,

including 3D plotting with <code class="xref py py-obj docutils literal notranslate"><span class="pre">mplot3d</span></code>, axes helpers in <code class="xref py py-obj docutils literal notranslate"><span class="pre">axes_grid1</span></code> and axis

helpers in <code class="xref py py-obj docutils literal notranslate"><span class="pre">axisartist</span></code>.</p>

<div class="section" id="third-party-packages">

<h3>Third party packages<a class="headerlink" href="#third-party-packages" title="Permalink to this headline">¶</a></h3>

<p>A large number of <a class="reference internal" href="thirdpartypackages/index.html"><span class="doc">third party packages</span></a>

extend and build on Matplotlib functionality, including several higher-level

plotting interfaces (<a class="reference external" href="https://seaborn.pydata.org">seaborn</a>, <a class="reference external" href="https://holoviews.org">HoloViews</a>, <a class="reference external" href="http://ggplot.yhathq.com">ggplot</a>, ...), and two projection

and mapping toolkits (<a class="reference external" href="https://matplotlib.org/basemap">Basemap</a> and <a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest">Cartopy</a>).</p>

<div class="section" id="citing-matplotlib">

<h3>Citing Matplotlib<a class="headerlink" href="#citing-matplotlib" title="Permalink to this headline">¶</a></h3>

<p>Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its

many contributors, have put an immeasurable amount of time and effort into

producing a piece of software utilized by thousands of scientists worldwide.</p>

<p>If Matplotlib contributes to a project that leads to a scientific publication,

please acknowledge this work by citing the project. A <a class="reference internal" href="citing.html"><span class="doc">ready-made citation

entry</span></a> is available.</p>

<div class="section" id="open-source">

<h3>Open source<a class="headerlink" href="#open-source" title="Permalink to this headline">¶</a></h3>

<a href="https://www.numfocus.org/">

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charity in the United States. NumFOCUS provides Matplotlib with

fiscal, legal, and administrative support to help ensure the health

and sustainability of the project. Visit <a class="reference external" href="nf">numfocus.org</a> for more

information.</p>

<p>Donations to Matplotlib are managed by NumFOCUS. For donors in the

United States, your gift is tax-deductible to the extent provided by

law. As with any donation, you should consult with your tax adviser

about your particular tax situation.</p>

<p>Please consider <a class="reference external" href="https://numfocus.org/donate-to-matplotlib">donating to the Matplotlib project</a> through

the NumFOCUS organization or to the <a class="reference external" href="https://www.numfocus.org/programs/john-hunter-technology-fellowship/">John Hunter Technology Fellowship</a>.</p>

<p>The <a class="reference internal" href="users/license.html"><span class="doc">Matplotlib license</span></a> is based on the <a class="reference external" href="https://www.python.org/psf/license">Python Software

Foundation (PSF) license</a>.</p>

<p>There is an active developer community and a long list of people who have made

significant <a class="reference internal" href="users/credits.html"><span class="doc">contributions</span></a>.</p>

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