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<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><ul>
<li><a class="reference internal" href="#source-install">Source install</a></li>
</ul>
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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="id1">Installation</a><ul>
<li><a class="reference internal" href="#report-a-compilation-problem" id="id2">Report a compilation problem</a></li>
<li><a class="reference internal" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it" id="id3">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="id4">How to completely remove matplotlib</a><ul>
<li><a class="reference internal" href="#source-install" id="id5">Source install</a></li>
</ul>
</li>
<li><a class="reference internal" href="#how-to-install" id="id6">How to Install</a><ul>
<li><a class="reference internal" href="#source-install-from-git" id="id7">Source install from git</a></li>
</ul>
</li>
<li><a class="reference internal" href="#linux-notes" id="id8">Linux Notes</a></li>
<li><a class="reference internal" href="#os-x-notes" id="id9">OS-X Notes</a><ul>
<li><a class="reference internal" href="#which-python-for-os-x" id="id10">Which python for OS X?</a></li>
<li><a class="reference internal" href="#installing-osx-binary-wheels" id="id11">Installing OSX binary wheels</a><ul>
<li><a class="reference internal" href="#python-org-python" id="id12">Python.org Python</a></li>
<li><a class="reference internal" href="#macports-python" id="id13">Macports Python</a></li>
<li><a class="reference internal" href="#homebrew-python" id="id14">Homebrew Python</a></li>
<li><a class="reference internal" href="#pip-problems" id="id15">Pip problems</a></li>
</ul>
</li>
<li><a class="reference internal" href="#installing-via-osx-mpkg-installer-package" id="id16">Installing via OSX mpkg installer package</a></li>
<li><a class="reference internal" href="#checking-your-installation" id="id17">Checking your installation</a></li>
</ul>
</li>
<li><a class="reference internal" href="#windows-notes" id="id18">Windows Notes</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 cd into a
directory containing a minimal example in a file. Something like
<code class="file docutils literal"><span class="pre">simple_plot.py</span></code> for example:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>and run it with:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">simple_plot</span><span class="o">.</span><span class="n">py</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/01_introductory/customizing.html#sphx-glr-tutorials-01-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.</p>
<p>The process for removing an installation of matplotlib depends on how
matplotlib was originally installed on your system. Follow the steps
below that goes with your original installation method to cleanly
remove matplotlib from your system.</p>
<div class="section" id="source-install">
<h3>Source install<a class="headerlink" href="#source-install" title="Permalink to this headline">¶</a></h3>
<p>Unfortunately:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">clean</span>
</pre></div>
</div>
<p>does not properly clean the build directory, and does nothing to the
install directory. To cleanly rebuild:</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 the <code class="docutils literal"><span class="pre">build</span></code> directory in the source tree.</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>
<div class="section" id="how-to-install">
<h2>How to Install<a class="headerlink" href="#how-to-install" title="Permalink to this headline">¶</a></h2>
<div class="section" id="source-install-from-git">
<span id="install-from-git"></span><h3>Source install from git<a class="headerlink" href="#source-install-from-git" title="Permalink to this headline">¶</a></h3>
<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="o">></span> <span class="n">cd</span> <span class="n">matplotlib</span>
<span class="o">></span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">install</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="s2">"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 (make sure you have <strong>setuptools</strong>
installed):</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="o">></span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">develop</span>
</pre></div>
</div>
<p>This creates links in the right places and installs the command
line script to the appropriate places.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>Mac 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="o">></span> <span class="n">git</span> <span class="n">pull</span>
</pre></div>
</div>
<p>When you run <code class="xref py py-obj 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 the <code class="xref py py-obj docutils literal"><span class="pre">python</span>
<span class="pre">setup.py</span> <span class="pre">develop</span></code> command 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>
<div class="section" id="linux-notes">
<h2>Linux Notes<a class="headerlink" href="#linux-notes" title="Permalink to this headline">¶</a></h2>
<p>Because most Linux distributions use some sort of package manager,
we do not provide a pre-built binary for the Linux platform.
Instead, we recommend that you use the “Add Software” method for
your system to install matplotlib. This will guarantee that everything
that is needed for matplotlib will be installed as well.</p>
<p>If, for some reason, you can not use the package manager, Linux usually
comes with at least a basic build system. Follow the <a class="reference internal" href="#install-from-git"><span class="std std-ref">instructions</span></a> found above for how to build and install matplotlib.</p>
</div>
<div class="section" id="os-x-notes">
<h2>OS-X Notes<a class="headerlink" href="#os-x-notes" title="Permalink to this headline">¶</a></h2>
<div class="section" id="which-python-for-os-x">
<span id="which-python-for-osx"></span><h3>Which python for OS X?<a class="headerlink" href="#which-python-for-os-x" title="Permalink to this headline">¶</a></h3>
<p>Apple ships OS X 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 2.7):</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">pip</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 2.7:</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">pip</span><span class="o">-</span><span class="mf">2.7</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>For Python 3.4:</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">py34</span><span class="o">-</span><span class="n">pip</span>
<span class="n">sudo</span> <span class="n">pip</span><span class="o">-</span><span class="mf">3.4</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 2.7:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">pip2</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>For Python 3.4:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">pip3</span> <span class="n">install</span> <span class="n">matplotlib</span>
</pre></div>
</div>
<p>You might also want to install IPython; we recommend you install IPython with
the IPython notebook option, like this:</p>
<ul class="simple">
<li>Python.org Python: <code class="docutils literal"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></code></li>
<li>Macports <code class="docutils literal"><span class="pre">sudo</span> <span class="pre">pip-2.7</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></code> or <code class="docutils literal"><span class="pre">sudo</span> <span class="pre">pip-3.4</span>
<span class="pre">install</span> <span class="pre">ipython[notebook]</span></code></li>
<li>Homebrew <code class="docutils literal"><span class="pre">pip2</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></code> or <code class="docutils literal"><span class="pre">pip3</span> <span class="pre">install</span>
<span class="pre">ipython[notebook]</span></code></li>
</ul>
</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="installing-via-osx-mpkg-installer-package">
<h3>Installing via OSX mpkg installer package<a class="headerlink" href="#installing-via-osx-mpkg-installer-package" title="Permalink to this headline">¶</a></h3>
<p>matplotlib also has a disk image (<code class="docutils literal"><span class="pre">.dmg</span></code>) installer, which contains a
typical Installer.app package to install matplotlib. You should use binary
wheels instead of the disk image installer if you can, because:</p>
<ul class="simple">
<li>wheels work with Python.org Python, homebrew and macports, the disk image
installer only works with Python.org Python.</li>
<li>The disk image installer doesn’t check for recent versions of packages that
matplotlib depends on, and unconditionally installs the versions of
dependencies contained in the disk image installer. This can overwrite
packages that you have already installed, which might cause problems for
other packages, if you have a pre-existing Python.org setup on your
computer.</li>
</ul>
<p>If you still want to use the disk image installer, read on.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Before installing via the disk image installer, be sure that all of the
packages were compiled for the same version of python. Often, the download
site for NumPy and matplotlib will display a supposed ‘current’ version of
the package, but you may need to choose a different package from the full
list that was built for your combination of python and OSX.</p>
</div>
<p>The disk image installer will have a <code class="docutils literal"><span class="pre">.dmg</span></code> extension, and will have a name
like <code class="file docutils literal"><span class="pre">matplotlib-1.4.0-py2.7-macosx10.6.dmg</span></code>.
The name of the installer depends on the versions of python and matplotlib it
was built for, and the version of OSX that the matching Python.org installer
was built for. For example, if the mathing Python.org Python installer was
built for OSX 10.6 or greater, the dmg file will end in <code class="docutils literal"><span class="pre">-macosx10.6.dmg</span></code>.
You need to download this disk image file, open the disk image file by double
clicking, and find the new matplotlib disk image icon on your desktop. Double
click on that icon to show the contents of the image. Then double-click on
the <code class="docutils literal"><span class="pre">.mpkg</span></code> icon, which will have a name like
<code class="file docutils literal"><span class="pre">matplotlib-1.4.0-py2.7-macosx10.6.mpkg</span></code>, it will run the Installer.app,
prompt you for a password if you need system-wide installation privileges, and
install to a directory like
<code class="file docutils literal"><span class="pre">/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages</span></code>
(exact path depends on your Python version).</p>
</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="mi">7</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 2.7) or:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">python3</span><span class="o">.</span><span class="mi">4</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 3.4). You should see something like this:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="mf">1.4</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">2.7</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python2</span><span class="o">.</span><span class="mi">7</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="n">__init__</span><span class="o">.</span><span class="n">pyc</span>
</pre></div>
</div>
<p>where <code class="docutils literal"><span class="pre">1.4.0</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><span class="o">.</span><span class="mi">7</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><span class="o">.</span><span class="mi">4</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 let us
know: see <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="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>
</div>
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