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<li><a class="reference internal" href="#">Installation</a><ul>
<li><a class="reference internal" href="#report-a-compilation-problem">Report a compilation problem</a></li>
<li><a class="reference internal" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it">matplotlib compiled fine, but nothing shows up when I use it</a></li>
<li><a class="reference internal" href="#how-to-completely-remove-matplotlib">How to completely remove Matplotlib</a></li>
<li><a class="reference internal" href="#linux-notes">Linux Notes</a></li>
<li><a class="reference internal" href="#osx-notes">OSX Notes</a><ul>
<li><a class="reference internal" href="#which-python-for-osx">Which python for OSX?</a></li>
<li><a class="reference internal" href="#installing-osx-binary-wheels">Installing OSX binary wheels</a><ul>
<li><a class="reference internal" href="#python-org-python">Python.org Python</a></li>
<li><a class="reference internal" href="#macports-python">Macports Python</a></li>
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<div class="section" id="installation">
<span id="installing-faq"></span><h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>
<div class="contents topic" id="contents">
<p class="topic-title first">Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#installation" id="id2">Installation</a><ul>
<li><a class="reference internal" href="#report-a-compilation-problem" id="id3">Report a compilation problem</a></li>
<li><a class="reference internal" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it" id="id4">matplotlib compiled fine, but nothing shows up when I use it</a></li>
<li><a class="reference internal" href="#how-to-completely-remove-matplotlib" id="id5">How to completely remove Matplotlib</a></li>
<li><a class="reference internal" href="#linux-notes" id="id6">Linux Notes</a></li>
<li><a class="reference internal" href="#osx-notes" id="id7">OSX Notes</a><ul>
<li><a class="reference internal" href="#which-python-for-osx" id="id8">Which python for OSX?</a></li>
<li><a class="reference internal" href="#installing-osx-binary-wheels" id="id9">Installing OSX binary wheels</a><ul>
<li><a class="reference internal" href="#python-org-python" id="id10">Python.org Python</a></li>
<li><a class="reference internal" href="#macports-python" id="id11">Macports Python</a></li>
<li><a class="reference internal" href="#homebrew-python" id="id12">Homebrew Python</a></li>
<li><a class="reference internal" href="#pip-problems" id="id13">pip problems</a></li>
</ul>
</li>
<li><a class="reference internal" href="#checking-your-installation" id="id14">Checking your installation</a></li>
</ul>
</li>
<li><a class="reference internal" href="#windows-notes" id="id15">Windows Notes</a></li>
<li><a class="reference internal" href="#install-from-source" id="id16">Install from source</a></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="report-a-compilation-problem">
<h2>Report a compilation problem<a class="headerlink" href="#report-a-compilation-problem" title="Permalink to this headline">¶</a></h2>
<p>See <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><span class="std std-ref">Getting help</span></a>.</p>
</div>
<div class="section" id="matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it">
<h2>matplotlib compiled fine, but nothing shows up when I use it<a class="headerlink" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it" title="Permalink to this headline">¶</a></h2>
<p>The first thing to try is a <a class="reference internal" href="#clean-install"><span class="std std-ref">clean install</span></a> and see if
that helps. If not, the best way to test your install is by running a script,
rather than working interactively from a python shell or an integrated
development environment such as <strong class="program">IDLE</strong> which add additional
complexities. Open up a UNIX shell or a DOS command prompt and run, for
example:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">c</span> <span class="s2">"from pylab import *; plot(); show()"</span> <span class="o">--</span><span class="n">verbose</span><span class="o">-</span><span class="n">helpful</span>
</pre></div>
</div>
<p>This will give you additional information about which backends matplotlib is
loading, version information, and more. At this point you might want to make
sure you understand matplotlib’s <a class="reference internal" href="../tutorials/introductory/customizing.html#sphx-glr-tutorials-introductory-customizing-py"><span class="std std-ref">configuration</span></a>
process, governed by the <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> configuration file which contains
instructions within and the concept of the matplotlib backend.</p>
<p>If you are still having trouble, see <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><span class="std std-ref">Getting help</span></a>.</p>
</div>
<div class="section" id="how-to-completely-remove-matplotlib">
<span id="clean-install"></span><h2>How to completely remove Matplotlib<a class="headerlink" href="#how-to-completely-remove-matplotlib" title="Permalink to this headline">¶</a></h2>
<p>Occasionally, problems with Matplotlib can be solved with a clean
installation of the package. In order to fully remove an installed Matplotlib:</p>
<ol class="arabic simple">
<li>Delete the caches from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-config-dir"><span class="std std-ref">Matplotlib configuration directory</span></a>.</li>
<li>Delete any Matplotlib directories or eggs from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-install"><span class="std std-ref">installation
directory</span></a>.</li>
</ol>
</div>
<div class="section" id="linux-notes">
<h2>Linux Notes<a class="headerlink" href="#linux-notes" title="Permalink to this headline">¶</a></h2>
<p>To install Matplotlib at the system-level, we recommend that you use your
distribution’s package manager. This will guarantee that Matplotlib’s
dependencies will be installed as well.</p>
<p>If, for some reason, you cannot use the package manager, you may use the wheels
available on PyPI:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>or <a class="reference internal" href="#install-from-git"><span class="std std-ref">build Matplotlib from source</span></a>.</p>
</div>
<div class="section" id="osx-notes">
<h2>OSX Notes<a class="headerlink" href="#osx-notes" title="Permalink to this headline">¶</a></h2>
<div class="section" id="which-python-for-osx">
<span id="id1"></span><h3>Which python for OSX?<a class="headerlink" href="#which-python-for-osx" title="Permalink to this headline">¶</a></h3>
<p>Apple ships OSX with its own Python, in <code class="docutils literal"><span class="pre">/usr/bin/python</span></code>, and its own copy
of Matplotlib. Unfortunately, the way Apple currently installs its own copies
of NumPy, Scipy and Matplotlib means that these packages are difficult to
upgrade (see <a class="reference external" href="https://github.com/MacPython/wiki/wiki/Which-Python#system-python-and-extra-python-packages">system python packages</a>). For that reason we strongly suggest
that you install a fresh version of Python and use that as the basis for
installing libraries such as NumPy and Matplotlib. One convenient way to
install matplotlib with other useful Python software is to use one of the
excellent Python scientific software collections that are now available:</p>
<ul class="simple">
<li><a class="reference external" href="https://www.continuum.io/downloads">Anaconda</a> from <a class="reference external" href="https://www.continuum.io">Continuum Analytics</a></li>
<li><a class="reference external" href="https://www.enthought.com/products/canopy/">Canopy</a> from <a class="reference external" href="https://www.enthought.com">Enthought</a></li>
</ul>
<p>These collections include Python itself and a wide range of libraries; if you
need a library that is not available from the collection, you can install it
yourself using standard methods such as <em>pip</em>. Continuum and Enthought offer
their own installation support for these collections; see the Ananconda and
Canopy web pages for more information.</p>
<p>Other options for a fresh Python install are the standard installer from
<a class="reference external" href="https://www.python.org/downloads/mac-osx/">python.org</a>, or installing
Python using a general OSX package management system such as <a class="reference external" href="http://brew.sh">homebrew</a> or <a class="reference external" href="https://www.macports.org">macports</a>. Power users on
OSX will likely want one of homebrew or macports on their system to install
open source software packages, but it is perfectly possible to use these
systems with another source for your Python binary, such as Anaconda, Canopy
or Python.org Python.</p>
</div>
<div class="section" id="installing-osx-binary-wheels">
<span id="install-osx-binaries"></span><h3>Installing OSX binary wheels<a class="headerlink" href="#installing-osx-binary-wheels" title="Permalink to this headline">¶</a></h3>
<p>If you are using recent Python from <a class="reference external" href="https://www.python.org">https://www.python.org</a>, Macports or
Homebrew, then you can use the standard pip installer to install Matplotlib
binaries in the form of wheels.</p>
<div class="section" id="python-org-python">
<h4>Python.org Python<a class="headerlink" href="#python-org-python" title="Permalink to this headline">¶</a></h4>
<p>Install pip following the <a class="reference external" href="https://pip.readthedocs.io/en/latest/installing/">standard pip install instructions</a>. For the impatient,
open a new Terminal.app window and:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">curl</span> <span class="o">-</span><span class="n">O</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">bootstrap</span><span class="o">.</span><span class="n">pypa</span><span class="o">.</span><span class="n">io</span><span class="o">/</span><span class="n">get</span><span class="o">-</span><span class="n">pip</span><span class="o">.</span><span class="n">py</span>
</pre></div>
</div>
<p>Then (Python 2):</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">get</span><span class="o">-</span><span class="n">pip</span><span class="o">.</span><span class="n">py</span>
</pre></div>
</div>
<p>or (Python 3):</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python3</span> <span class="n">get</span><span class="o">-</span><span class="n">pip</span><span class="o">.</span><span class="n">py</span>
</pre></div>
</div>
<p>You can now install matplotlib and all its dependencies with</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>or</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python3</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
</div>
<div class="section" id="macports-python">
<h4>Macports Python<a class="headerlink" href="#macports-python" title="Permalink to this headline">¶</a></h4>
<p>For Python 2:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">port</span> <span class="n">install</span> <span class="n">py27</span><span class="o">-</span><span class="n">pip</span>
<span class="n">sudo</span> <span class="n">python2</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>For Python 3:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">port</span> <span class="n">install</span> <span class="n">py36</span><span class="o">-</span><span class="n">pip</span>
<span class="n">sudo</span> <span class="n">python3</span><span class="o">.</span><span class="mi">6</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
</div>
<div class="section" id="homebrew-python">
<h4>Homebrew Python<a class="headerlink" href="#homebrew-python" title="Permalink to this headline">¶</a></h4>
<p>For Python 2:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python2</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>For Python 3:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python3</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>You might also want to install IPython or the Jupyter notebook (<code class="docutils literal"><span class="pre">pythonX</span> <span class="pre">-mpip</span>
<span class="pre">install</span> <span class="pre">ipython</span></code>, <code class="docutils literal"><span class="pre">pythonX</span> <span class="pre">-mpip</span> <span class="pre">install</span> <span class="pre">notebook</span></code>, where <code class="docutils literal"><span class="pre">pythonX</span></code> is set
as above).</p>
</div>
<div class="section" id="pip-problems">
<h4>pip problems<a class="headerlink" href="#pip-problems" title="Permalink to this headline">¶</a></h4>
<p>If you get errors with pip trying to run a compiler like <code class="docutils literal"><span class="pre">gcc</span></code> or <code class="docutils literal"><span class="pre">clang</span></code>,
then the first thing to try is to <a class="reference external" href="https://guide.macports.org/chunked/installing.html#installing.xcode">install xcode</a> and
retry the install. If that does not work, then check
<a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><span class="std std-ref">Getting help</span></a>.</p>
</div>
</div>
<div class="section" id="checking-your-installation">
<h3>Checking your installation<a class="headerlink" href="#checking-your-installation" title="Permalink to this headline">¶</a></h3>
<p>The new version of Matplotlib should now be on your Python “path”. Check this
with one of these commands at the Terminal.app command line:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python2</span> <span class="o">-</span><span class="n">c</span> <span class="s1">'import matplotlib; print matplotlib.__version__, matplotlib.__file__'</span>
</pre></div>
</div>
<p>(Python 2) or:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python3</span> <span class="o">-</span><span class="n">c</span> <span class="s1">'import matplotlib; print(matplotlib.__version__, matplotlib.__file__)'</span>
</pre></div>
</div>
<p>(Python 3). You should see something like this:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="mf">2.1</span><span class="o">.</span><span class="mi">0</span> <span class="o">/</span><span class="n">Library</span><span class="o">/</span><span class="n">Frameworks</span><span class="o">/</span><span class="n">Python</span><span class="o">.</span><span class="n">framework</span><span class="o">/</span><span class="n">Versions</span><span class="o">/</span><span class="mf">3.6</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="o">.</span><span class="mi">6</span><span class="o">/</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">/</span><span class="fm">__init__</span><span class="o">.</span><span class="n">pyc</span>
</pre></div>
</div>
<p>where <code class="docutils literal"><span class="pre">2.1.0</span></code> is the Matplotlib version you just installed, and the path
following depends on whether you are using Python.org Python, Homebrew or
Macports. If you see another version, or you get an error like this:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">Traceback</span> <span class="p">(</span><span class="n">most</span> <span class="n">recent</span> <span class="n">call</span> <span class="n">last</span><span class="p">):</span>
<span class="n">File</span> <span class="s2">"<string>"</span><span class="p">,</span> <span class="n">line</span> <span class="mi">1</span><span class="p">,</span> <span class="ow">in</span> <span class="o"><</span><span class="n">module</span><span class="o">></span>
<span class="ne">ImportError</span><span class="p">:</span> <span class="n">No</span> <span class="n">module</span> <span class="n">named</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>then check that the Python binary is the one you expected by doing one of
these commands in Terminal.app:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">which</span> <span class="n">python2</span>
</pre></div>
</div>
<p>or:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">which</span> <span class="n">python3</span>
</pre></div>
</div>
<p>If you get the result <code class="docutils literal"><span class="pre">/usr/bin/python2.7</span></code>, then you are getting the Python
installed with OSX, which is probably not what you want. Try closing and
restarting Terminal.app before running the check again. If that doesn’t fix the
problem, depending on which Python you wanted to use, consider reinstalling
Python.org Python, or check your homebrew or macports setup. Remember that
the disk image installer only works for Python.org Python, and will not get
picked up by other Pythons. If all these fail, please <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><span class="std std-ref">let us know</span></a>.</p>
</div>
</div>
<div class="section" id="windows-notes">
<h2>Windows Notes<a class="headerlink" href="#windows-notes" title="Permalink to this headline">¶</a></h2>
<p>See <a class="reference internal" href="../users/installing.html#installing-windows"><span class="std std-ref">Windows</span></a>.</p>
</div>
<div class="section" id="install-from-source">
<span id="install-from-git"></span><h2>Install from source<a class="headerlink" href="#install-from-source" title="Permalink to this headline">¶</a></h2>
<p>Clone the main source using one of:</p>
<div class="highlight-default"><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>or:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">git</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>and build and install as usual with:</p>
<div class="highlight-default"><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">mpip</span> <span class="n">install</span> <span class="o">.</span>
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>If you are on Debian/Ubuntu, you can get all the dependencies required to
build Matplotlib with:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">apt</span><span class="o">-</span><span class="n">get</span> <span class="n">build</span><span class="o">-</span><span class="n">dep</span> <span class="n">python</span><span class="o">-</span><span class="n">matplotlib</span>
</pre></div>
</div>
<p>If you are on Fedora/RedHat, you can get all the dependencies required to
build matplotlib by first installing <code class="docutils literal"><span class="pre">yum-builddep</span></code> and then running:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">su</span> <span class="o">-</span><span class="n">c</span> <span class="s1">'yum-builddep python-matplotlib'</span>
</pre></div>
</div>
<p class="last">This does not build Matplotlib, but it does get all of the build
dependencies, which will make building from source easier.</p>
</div>
<p>If you want to be able to follow the development branch as it changes
just replace the last step with:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">mpip</span> <span class="n">install</span> <span class="o">-</span><span class="n">e</span> <span class="o">.</span>
</pre></div>
</div>
<p>This creates links and installs the command line script in the appropriate
places.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>OSX users please see the <a class="reference internal" href="../users/installing.html#build-osx"><span class="std std-ref">Building on macOS</span></a> guide.</p>
<p class="last">Windows users please see the <a class="reference internal" href="../users/installing.html#build-windows"><span class="std std-ref">Building on Windows</span></a> guide.</p>
</div>
<p>Then, if you want to update your matplotlib at any time, just do:</p>
<div class="highlight-default"><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"><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"><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>
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