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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>Installation — Matplotlib 2.1.2 documentation</title>

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<body>

<div id="unreleased-message"> You are reading an old version of the documentation (v2.1.2). For the latest version see <a href="https://matplotlib.org/stable/faq/installing_faq.html">https://matplotlib.org/stable/faq/installing_faq.html</a></div>

<div style="float: left; position: absolute; width: 496px; bottom: 0; padding-bottom: 24px"><span style="float: right; color: #789; background: white">Version 2.1.2</span></div>

<div id="forkongithub"><a href="https://github.com/matplotlib/matplotlib">Fork me on GitHub</a></div>

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

<ul>

<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>

<li><a class="reference internal" href="#homebrew-python">Homebrew Python</a></li>

<li><a class="reference internal" href="#pip-problems">pip problems</a></li>

</ul>

</li>

<li><a class="reference internal" href="#checking-your-installation">Checking your installation</a></li>

</ul>

</li>

<li><a class="reference internal" href="#windows-notes">Windows Notes</a></li>

<li><a class="reference internal" href="#install-from-source">Install from source</a></li>

</ul>

</li>

</ul>

<h3>Related Topics</h3>

<ul>

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

<li><a href="index.html">The Matplotlib FAQ</a><ul>

<li>Previous: <a href="index.html" title="previous chapter">The Matplotlib FAQ</a></li>

</ul></li>

</ul>

</div>

<li><a href="../_sources/faq/installing_faq.rst.txt"

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

</ul>

</div>

<h3>Quick search</h3>

</form>

</div>

</div>

<span id="installing-faq"></span><h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>

<p class="topic-title first">Contents</p>

<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>

<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>

<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>

<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>

<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>

<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>

<h2>OSX Notes<a class="headerlink" href="#osx-notes" title="Permalink to this headline">¶</a></h2>

<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>

<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>

<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>

<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>

</pre></div>

</div>

<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>

<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>

<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>

</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>

<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>

<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>

<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>

<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>

<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>

<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>

<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>

</pre></div>

</div>

<p>This creates links and installs the command line script in the appropriate

places.</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>

</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>

</div>

Last updated on Feb 08, 2018.

Created using <a

href="http://sphinx-doc.org/">Sphinx</a> 1.6.7.

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