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<!DOCTYPE html>

<head>

<title>Installation — Matplotlib 3.7.5 documentation</title>

document.documentElement.dataset.mode = localStorage.getItem("mode") || "";

document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";

</script>

DOCUMENTATION_OPTIONS.theme_switcher_json_url = 'https://matplotlib.org/devdocs/_static/switcher.json?v3.7.5-3-gb58d40e6c8';

DOCUMENTATION_OPTIONS.theme_switcher_version_match = '3.7.5';

</script>

title="Search within Matplotlib 3.7.5 documentation"

href="../../_static/opensearch.xml"/>

</head>

<a class="skip-link" href="#main-content">Skip to main content</a>

</form>

</div>

</label>

</a>

</div>

<a class="reference internal nav-link" href="../../plot_types/index.html">Plot types</a>

</li>

<a class="reference internal nav-link" href="../../gallery/index.html">Examples</a>

</li>

<a class="reference internal nav-link" href="../../tutorials/index.html">Tutorials</a>

</li>

<a class="reference internal nav-link" href="../../api/index.html">Reference</a>

</li>

<a class="reference internal nav-link" href="../index.html">User guide</a>

</li>

<a class="reference internal nav-link" href="../../devel/index.html">Develop</a>

</li>

<a class="reference internal nav-link" href="../release_notes.html">Releases</a>

</li>

</ul>

</div>

</button>

</div>

</button>

</div>

stable

</button>

</div>

<label class="sr-only">Gitter</label></a>

</li>

<label class="sr-only">Discourse</label></a>

</li>

<label class="sr-only">GitHub</label></a>

</li>

<label class="sr-only">Twitter</label></a>

</li>

</ul>

</div>

</button>

</div>

</label>

</div>

</nav>

<a class="reference internal nav-link" href="../../plot_types/index.html">Plot types</a>

</li>

<a class="reference internal nav-link" href="../../gallery/index.html">Examples</a>

</li>

<a class="reference internal nav-link" href="../../tutorials/index.html">Tutorials</a>

</li>

<a class="reference internal nav-link" href="../../api/index.html">Reference</a>

</li>

<a class="reference internal nav-link" href="../index.html">User guide</a>

</li>

<a class="reference internal nav-link" href="../../devel/index.html">Develop</a>

</li>

<a class="reference internal nav-link" href="../release_notes.html">Releases</a>

</li>

</ul>

</div>

</button>

</div>

stable

</button>

</div>

<label class="sr-only">Gitter</label></a>

</li>

<label class="sr-only">Discourse</label></a>

</li>

<label class="sr-only">GitHub</label></a>

</li>

<label class="sr-only">Twitter</label></a>

</li>

</ul>

</div>

</div>

</div>

</div>

<h1>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h1>

<h2>Installing an official release<a class="headerlink" href="#installing-an-official-release" title="Link to this heading">#</a></h2>

<p>Matplotlib releases are available as wheel packages for macOS, Windows and

Linux on <a class="reference external" href="https://pypi.org/project/matplotlib/">PyPI</a>. Install it using

<div class="highlight-sh notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>-U<span class="w"> </span>pip

python<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>-U<span class="w"> </span>matplotlib

</pre></div>

</div>

<p>If this command results in Matplotlib being compiled from source and

there's trouble with the compilation, you can add <code class="docutils literal notranslate"><span class="pre">--prefer-binary</span></code> to

select the newest version of Matplotlib for which there is a

precompiled wheel for your OS and Python.</p>

<p>The following backends work out of the box: Agg, ps, pdf, svg</p>

<p>Python is typically shipped with tk bindings which are used by

TkAgg.</p>

<p>For support of other GUI frameworks, LaTeX rendering, saving

animations and a larger selection of file formats, you can

install <a class="reference internal" href="../../devel/dependencies.html#optional-dependencies"><span class="std std-ref">Optional dependencies</span></a>.</p>

</div>

</section>

<h2>Third-party distributions<a class="headerlink" href="#third-party-distributions" title="Link to this heading">#</a></h2>

<p>Various third-parties provide Matplotlib for their environments.</p>

<h3>Conda packages<a class="headerlink" href="#conda-packages" title="Link to this heading">#</a></h3>

<p>Matplotlib is available both via the <em>anaconda main channel</em></p>

<div class="highlight-sh notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>matplotlib

</pre></div>

</div>

<p>as well as via the <em>conda-forge community channel</em></p>

<div class="highlight-sh notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>matplotlib

</pre></div>

</div>

</section>

<h3>Python distributions<a class="headerlink" href="#python-distributions" title="Link to this heading">#</a></h3>

<p>Matplotlib is part of major Python distributions:</p>

<li><p><a class="reference external" href="https://www.anaconda.com/">Anaconda</a></p></li>

<li><p><a class="reference external" href="https://www.activestate.com/products/python/downloads/">ActiveState ActivePython</a></p></li>

<li><p><a class="reference external" href="https://winpython.github.io/">WinPython</a></p></li>

</ul>

</section>

<h3>Linux package manager<a class="headerlink" href="#linux-package-manager" title="Link to this heading">#</a></h3>

<p>If you are using the Python version that comes with your Linux distribution,

you can install Matplotlib via your package manager, e.g.:</p>

<li><p>Debian / Ubuntu: <code class="docutils literal notranslate"><span class="pre">sudo</span> <span class="pre">apt-get</span> <span class="pre">install</span> <span class="pre">python3-matplotlib</span></code></p></li>

<li><p>Fedora: <code class="docutils literal notranslate"><span class="pre">sudo</span> <span class="pre">dnf</span> <span class="pre">install</span> <span class="pre">python3-matplotlib</span></code></p></li>

<li><p>Red Hat: <code class="docutils literal notranslate"><span class="pre">sudo</span> <span class="pre">yum</span> <span class="pre">install</span> <span class="pre">python3-matplotlib</span></code></p></li>

<li><p>Arch: <code class="docutils literal notranslate"><span class="pre">sudo</span> <span class="pre">pacman</span> <span class="pre">-S</span> <span class="pre">python-matplotlib</span></code></p></li>

</ul>

</section>

<span id="install-from-source"></span><h2>Installing a nightly build<a class="headerlink" href="#installing-a-nightly-build" title="Link to this heading">#</a></h2>

<p>Matplotlib makes nightly development build wheels available on the

<a class="reference external" href="https://anaconda.org/scientific-python-nightly-wheels">scientific-python-nightly-wheels Anaconda Cloud organization</a>.

These wheels can be installed with <code class="docutils literal notranslate"><span class="pre">pip</span></code> by specifying

scientific-python-nightly-wheels as the package index to query:</p>

<span class="w"> </span>--upgrade<span class="w"> </span><span class="se">\</span>

<span class="w"> </span>--index-url<span class="w"> </span>https://pypi.anaconda.org/scientific-python-nightly-wheels/simple<span class="w"> </span><span class="se">\</span>

<span class="w"> </span>--extra-index-url<span class="w"> </span>https://pypi.org/simple<span class="w"> </span><span class="se">\</span>

<span class="w"> </span>matplotlib

</pre></div>

</div>

</section>

<h2>Installing from source<a class="headerlink" href="#installing-from-source" title="Link to this heading">#</a></h2>

<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 <a class="reference external" href="https://visualstudio.microsoft.com/downloads/">Visual Studio</a> 2015 or later.</p>

<p>For those using Visual Studio, make sure "Desktop development with C++" is

selected, and that the latest MSVC, "C++ CMake tools for Windows," and a

Windows SDK compatible with your version of Windows are selected and installed.

They should be selected by default under the "Optional" subheading, but are

required to build matplotlib from source.</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>

<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>

</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>

</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 external" href="https://docs.scipy.org/doc/scipy/dev/gitwash/gitwash.html#using-git" title="(in SciPy v1.12.0)"><span class="xref std std-ref">using git</span></a> in the developer

docs.</p>

<p class="admonition-title">Warning</p>

<p>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/main/mplsetup.cfg.template">mplsetup.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>

</section>

<h2>Installing for development<a class="headerlink" href="#installing-for-development" title="Link to this heading">#</a></h2>

<p>See <a class="reference internal" href="../../devel/development_setup.html#installing-for-devs"><span class="std std-ref">Setting up Matplotlib for development</span></a>.</p>

</section>

<span id="installing-faq"></span><h2>Frequently asked questions<a class="headerlink" href="#frequently-asked-questions" title="Link to this heading">#</a></h2>

<li><p><a class="reference internal" href="#report-a-compilation-problem" id="id3">Report a compilation problem</a></p></li>

<li><p><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></p></li>

<li><p><a class="reference internal" href="#how-to-completely-remove-matplotlib" id="id5">How to completely remove Matplotlib</a></p></li>

<li><p><a class="reference internal" href="#osx-notes" id="id6">OSX Notes</a></p>

<ul>

<li><p><a class="reference internal" href="#which-python-for-osx" id="id7">Which python for OSX?</a></p></li>

<li><p><a class="reference internal" href="#installing-osx-binary-wheels" id="id8">Installing OSX binary wheels</a></p></li>

<li><p><a class="reference internal" href="#checking-your-installation" id="id9">Checking your installation</a></p></li>

</ul>

</li>

</ul>

</nav>

<h3>Report a compilation problem<a class="headerlink" href="#report-a-compilation-problem" title="Link to this heading">#</a></h3>

<p>See <a class="reference internal" href="../faq/troubleshooting_faq.html#reporting-problems"><span class="std std-ref">Getting help</span></a>.</p>

</section>

<h3>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="Link to this heading">#</a></h3>

<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 notranslate"><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 *; set_loglevel('debug'); plot(); show()"</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"><span class="doc">configuration</span></a>

process, governed by the <code class="file docutils literal notranslate"><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="../faq/troubleshooting_faq.html#reporting-problems"><span class="std std-ref">Getting help</span></a>.</p>

</section>

<span id="clean-install"></span><h3>How to completely remove Matplotlib<a class="headerlink" href="#how-to-completely-remove-matplotlib" title="Link to this heading">#</a></h3>

<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><p>Delete the caches from your <a class="reference internal" href="../faq/troubleshooting_faq.html#locating-matplotlib-config-dir"><span class="std std-ref">Matplotlib configuration directory</span></a>.</p></li>

<li><p>Delete any Matplotlib directories or eggs from your <a class="reference internal" href="../faq/troubleshooting_faq.html#locating-matplotlib-install"><span class="std std-ref">installation

directory</span></a>.</p></li>

</ol>

</section>

<h3>OSX Notes<a class="headerlink" href="#osx-notes" title="Link to this heading">#</a></h3>

<span id="id1"></span><h4>Which python for OSX?<a class="headerlink" href="#which-python-for-osx" title="Link to this heading">#</a></h4>

<p>Apple ships OSX with its own Python, in <code class="docutils literal notranslate"><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 the <a class="reference external" href="https://www.anaconda.com/">Anaconda</a>

Python scientific software collection, which includes 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>.

See the Anaconda web page for installation support.</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="https://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

or Python.org Python.</p>

</section>

<span id="install-osx-binaries"></span><h4>Installing OSX binary wheels<a class="headerlink" href="#installing-osx-binary-wheels" title="Link to this heading">#</a></h4>

<p>If you are using Python from <a class="reference external" href="https://www.python.org">https://www.python.org</a>, Homebrew, or Macports,

then you can use the standard pip installer to install Matplotlib binaries in

the form of wheels.</p>

<p>pip is installed by default with python.org and Homebrew Python, but needs to

be manually installed on Macports with</p>

<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sudo</span> <span class="n">port</span> <span class="n">install</span> <span class="n">py38</span><span class="o">-</span><span class="n">pip</span>

</pre></div>

</div>

<p>Once pip is installed, you can install Matplotlib and all its dependencies with

from the Terminal.app command line:</p>

<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python3</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</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 notranslate"><span class="pre">python3</span> <span class="pre">-m</span> <span class="pre">pip</span>

<span class="pre">install</span> <span class="pre">ipython</span> <span class="pre">notebook</span></code>).</p>

</section>

<h4>Checking your installation<a class="headerlink" href="#checking-your-installation" title="Link to this heading">#</a></h4>

<p>The new version of Matplotlib should now be on your Python "path". Check this

at the Terminal.app command line:</p>

<div class="highlight-default notranslate"><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>You should see something like</p>

<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">3.6.0</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">3.9</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="mf">.9</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">py</span>

</pre></div>

</div>

<p>where <code class="docutils literal notranslate"><span class="pre">3.6.0</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</p>

<div class="highlight-default notranslate"><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 running</p>

<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">which</span> <span class="n">python3</span>

</pre></div>

</div>

<p>If you get a result like <code class="docutils literal notranslate"><span class="pre">/usr/bin/python...</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="../faq/troubleshooting_faq.html#reporting-problems"><span class="std std-ref">let us know</span></a>.</p>

</section>

</article>

</div>

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Installing an official release

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Third-party distributions

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Conda packages

</a>

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Python distributions

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Linux package manager

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Installing a nightly build

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Installing from source

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Installing for development

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Frequently asked questions

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Report a compilation problem

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Matplotlib compiled fine, but nothing shows up when I use it

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How to completely remove Matplotlib

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OSX Notes

</a>

Which python for OSX?

</a>

</li>

Installing OSX binary wheels

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Checking your installation

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