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<div class="section" id="installing-from-source">
<span id="install-from-source"></span><h1>Installing from source<a class="headerlink" href="#installing-from-source" title="Permalink to this headline">¶</a></h1>
<p>If you are interested in contributing to Matplotlib development,
running the latest source code, or just like to build everything
yourself, it is not difficult to build Matplotlib from source.</p>
<p>First you need to install the <a class="reference internal" href="../devel/dependencies.html#dependencies"><span class="std std-ref">Dependencies</span></a>.</p>
<p>A C compiler is required. Typically, on Linux, you will need <code class="docutils literal notranslate"><span class="pre">gcc</span></code>, which
should be installed using your distribution's package manager; on macOS, you
will need <a class="reference external" href="https://guide.macports.org/chunked/installing.html#installing.xcode">xcode</a>; on Windows, you will need Visual Studio 2015 or later.</p>
<p>The easiest way to get the latest development version to start contributing
is to go to the git <a class="reference external" href="https://github.com/matplotlib/matplotlib">repository</a>
and run:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">git</span>
</pre></div>
</div>
<p>or:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">git</span><span class="nd">@github</span><span class="o">.</span><span class="n">com</span><span class="p">:</span><span class="n">matplotlib</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">git</span>
</pre></div>
</div>
<p>If you're developing, it's better to do it in editable mode. The reason why
is that pytest's test discovery only works for Matplotlib
if installation is done this way. Also, editable mode allows your code changes
to be instantly propagated to your library code without reinstalling (though
you will have to restart your python process / kernel):</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">matplotlib</span>
<span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">e</span> <span class="o">.</span>
</pre></div>
</div>
<p>If you're not developing, it can be installed from the source directory with
a simple (just replace the last step):</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">.</span>
</pre></div>
</div>
<p>To run the tests you will need to install some additional dependencies:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">r</span> <span class="n">requirements</span><span class="o">/</span><span class="n">dev</span><span class="o">/</span><span class="n">dev</span><span class="o">-</span><span class="n">requirements</span><span class="o">.</span><span class="n">txt</span>
</pre></div>
</div>
<p>Then, if you want to update your Matplotlib at any time, just do:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">pull</span>
</pre></div>
</div>
<p>When you run <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">pull</span></code>, if the output shows that only Python files have
been updated, you are all set. If C files have changed, you need to run <code class="docutils literal notranslate"><span class="pre">pip</span>
<span class="pre">install</span> <span class="pre">-e</span> <span class="pre">.</span></code> again to compile them.</p>
<p>There is more information on <a class="reference internal" href="../devel/gitwash/index.html#using-git"><span class="std std-ref">using git</span></a> in the developer
docs.</p>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">The following instructions in this section are for very custom
installations of Matplotlib. Proceed with caution because these instructions
may result in your build producing unexpected behavior and/or causing
local testing to fail.</p>
</div>
<p>If you would like to build from a tarball, grab the latest <em>tar.gz</em> release
file from <a class="reference external" href="https://pypi.org/project/matplotlib/">the PyPI files page</a>.</p>
<p>We provide a <a class="reference external" href="https://raw.githubusercontent.com/matplotlib/matplotlib/master/setup.cfg.template">setup.cfg</a> file which you can use to customize the build
process. For example, which default backend to use, whether some of the
optional libraries that Matplotlib ships with are installed, and so on. This
file will be particularly useful to those packaging Matplotlib.</p>
<p>If you are building your own Matplotlib wheels (or sdists) on Windows, note
that any DLLs that you copy into the source tree will be packaged too.</p>
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