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<li><a class="reference internal" href="#">Contributing</a><ul>
<li><a class="reference internal" href="#submitting-a-bug-report">Submitting a bug report</a></li>
<li><a class="reference internal" href="#retrieving-and-installing-the-latest-version-of-the-code">Retrieving and installing the latest version of the code</a><ul>
<li><a class="reference internal" href="#building-matplotlib-for-image-comparison-tests">Building Matplotlib for image comparison tests</a></li>
<li><a class="reference internal" href="#installing-matplotlib-in-developer-mode">Installing Matplotlib in developer mode</a></li>
</ul>
</li>
<li><a class="reference internal" href="#contributing-code">Contributing code</a><ul>
<li><a class="reference internal" href="#how-to-contribute">How to contribute</a></li>
<li><a class="reference internal" href="#contributing-pull-requests">Contributing pull requests</a></li>
<li><a class="reference internal" href="#issues-for-new-contributors">Issues for New Contributors</a></li>
</ul>
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<li><a class="reference internal" href="#other-ways-to-contribute">Other ways to contribute</a></li>
<li><a class="reference internal" href="#coding-guidelines">Coding guidelines</a><ul>
<li><a class="reference internal" href="#new-modules-and-files-installation">New modules and files: installation</a></li>
<li><a class="reference internal" href="#c-c-extensions">C/C++ extensions</a></li>
<li><a class="reference internal" href="#keyword-argument-processing">Keyword argument processing</a></li>
<li><a class="reference internal" href="#using-logging-for-debug-messages">Using logging for debug messages</a><ul>
<li><a class="reference internal" href="#which-logging-level-to-use">Which logging level to use?</a></li>
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<div class="section" id="contributing">
<span id="id1"></span><h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to this headline">¶</a></h1>
<p>This project is a community effort, and everyone is welcome to
contribute. We follow the <a class="reference external" href="http://www.python.org/psf/codeofconduct/">Python Software Foundation Code of Conduct</a> in everything we do.</p>
<p>The project is hosted on <a class="reference external" href="https://github.com/matplotlib/matplotlib">https://github.com/matplotlib/matplotlib</a></p>
<div class="section" id="submitting-a-bug-report">
<h2>Submitting a bug report<a class="headerlink" href="#submitting-a-bug-report" title="Permalink to this headline">¶</a></h2>
<p>If you find a bug in the code or documentation, do not hesitate to submit a
ticket to the
<a class="reference external" href="https://github.com/matplotlib/matplotlib/issues">Bug Tracker</a>. You are also
welcome to post feature requests or pull requests.</p>
<p>If you are reporting a bug, please do your best to include the following:</p>
<ol class="arabic">
<li><p class="first">A short, top-level summary of the bug. In most cases, this should be 1-2
sentences.</p>
</li>
<li><p class="first">A short, self-contained code snippet to reproduce the bug, ideally allowing
a simple copy and paste to reproduce. Please do your best to reduce the code
snippet to the minimum required.</p>
</li>
<li><p class="first">The actual outcome of the code snippet.</p>
</li>
<li><p class="first">The expected outcome of the code snippet.</p>
</li>
<li><p class="first">The Matplotlib version, Python version and platform that you are using. You
can grab the version with the following commands:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="gp">>>> </span><span class="n">matplotlib</span><span class="o">.</span><span class="n">__version__</span>
<span class="go">'1.5.3'</span>
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">platform</span>
<span class="gp">>>> </span><span class="n">platform</span><span class="o">.</span><span class="n">python_version</span><span class="p">()</span>
<span class="go">'2.7.12'</span>
</pre></div>
</div>
</li>
</ol>
<p>We have preloaded the issue creation page with a Markdown template that you can
use to organize this information.</p>
<p>Thank you for your help in keeping bug reports complete, targeted and descriptive.</p>
</div>
<div class="section" id="retrieving-and-installing-the-latest-version-of-the-code">
<span id="installing-for-devs"></span><h2>Retrieving and installing the latest version of the code<a class="headerlink" href="#retrieving-and-installing-the-latest-version-of-the-code" title="Permalink to this headline">¶</a></h2>
<p>When developing Matplotlib, sources must be downloaded, built, and installed into
a local environment on your machine.</p>
<p>Follow the instructions detailed <a class="reference internal" href="../users/installing.html#install-from-source"><span class="std std-ref">here</span></a> to set up your
environment to build Matplotlib from source.</p>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">When working on Matplotlib sources, having multiple versions installed by
different methods into the same environment may not always work as expected.</p>
</div>
<p>To work on Matplotlib sources, it is strongly recommended to set up an alternative
development environment, using the something like <a class="reference external" href="http://docs.python-guide.org/en/latest/dev/virtualenvs/">virtual environments in python</a>, or a
<a class="reference external" href="https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html">conda environment</a>.</p>
<p>If you choose to use an already existing environment, and not a clean virtual or
conda environment, uninstall the current version of Matplotlib in that environment
using the same method used to install it.</p>
<p>If working on Matplotlib documentation only, the above steps are <em>not</em> absolutely
necessary.</p>
<p>We use <a class="reference external" href="https://git-scm.com/">Git</a> for version control and
<a class="reference external" href="https://github.com/">GitHub</a> for hosting our main repository.</p>
<p>You can check out the latest sources with the command (see
<a class="reference internal" href="gitwash/set_up_fork.html#set-up-fork"><span class="std std-ref">Set up your fork</span></a> for more details):</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">/</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">git</span>
</pre></div>
</div>
<p>and navigate to the <code class="file docutils literal notranslate"><span class="pre">matplotlib</span></code> directory. If you have the proper privileges,
you can use <code class="docutils literal notranslate"><span class="pre">git@</span></code> instead of <code class="docutils literal notranslate"><span class="pre">https://</span></code>, which works through the ssh protocol
and might be easier to use if you are using 2-factor authentication.</p>
<div class="section" id="building-matplotlib-for-image-comparison-tests">
<h3>Building Matplotlib for image comparison tests<a class="headerlink" href="#building-matplotlib-for-image-comparison-tests" title="Permalink to this headline">¶</a></h3>
<p>Matplotlib's test suite makes heavy use of image comparison tests,
meaning the result of a plot is compared against a known good result.
Unfortunately, different versions of FreeType produce differently
formed characters, causing these image comparisons to fail. To make
them reproducible, Matplotlib can be built with a special local copy
of FreeType. This is recommended for all Matplotlib developers.</p>
<p>Copy <code class="file docutils literal notranslate"><span class="pre">setup.cfg.template</span></code> to <code class="file docutils literal notranslate"><span class="pre">setup.cfg</span></code> and edit it to contain:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">[</span><span class="n">test</span><span class="p">]</span>
<span class="n">local_freetype</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">tests</span> <span class="o">=</span> <span class="kc">True</span>
</pre></div>
</div>
<p>or set the <code class="docutils literal notranslate"><span class="pre">MPLLOCALFREETYPE</span></code> environmental variable to any true
value. If you have previously built Matplotlib with a different
version of Freetype, you will also need to remove the c/c++ build
products. Do this is to delete the <code class="docutils literal notranslate"><span class="pre">build</span></code> folder or <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">clean</span>
<span class="pre">-xfd</span></code>. If you are going to be regularly working on Matplotlib,
consider putting</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">export</span> <span class="n">MPLLOCALFREETYPE</span><span class="o">=</span><span class="mi">1</span>
</pre></div>
</div>
<p>in your shell start up files.</p>
</div>
<div class="section" id="installing-matplotlib-in-developer-mode">
<h3>Installing Matplotlib in developer mode<a class="headerlink" href="#installing-matplotlib-in-developer-mode" title="Permalink to this headline">¶</a></h3>
<p>To install Matplotlib (and compile the C-extensions) run the following
command from the top-level directory</p>
<div class="highlight-default notranslate"><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">ve</span> <span class="o">.</span>
</pre></div>
</div>
<p>This installs Matplotlib in 'editable/develop mode', i.e., builds
everything and places the correct link entries in the install
directory so that python will be able to import Matplotlib from the
source directory. Thus, any changes to the <code class="docutils literal notranslate"><span class="pre">*.py</span></code> files will be
reflected the next time you import the library. If you change the
C-extension source (which might happen if you change branches) you
will need to run</p>
<div class="highlight-default notranslate"><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">build</span>
</pre></div>
</div>
<p>or re-run <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-mpip</span> <span class="pre">install</span> <span class="pre">-ve</span> <span class="pre">.</span></code>.</p>
<p>Alternatively, if you do</p>
<div class="highlight-default notranslate"><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">v</span> <span class="o">.</span>
</pre></div>
</div>
<p>all of the files will be copied to the installation directory however,
you will have to rerun this command every time the source is changed.
Additionally you will need to copy <code class="file docutils literal notranslate"><span class="pre">setup.cfg.template</span></code> to
<code class="file docutils literal notranslate"><span class="pre">setup.cfg</span></code> and edit it to contain</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">[</span><span class="n">test</span><span class="p">]</span>
<span class="n">local_freetype</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">tests</span> <span class="o">=</span> <span class="kc">True</span>
</pre></div>
</div>
<p>In either case you can then run the tests to check your work
environment is set up properly:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pytest</span>
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last"><strong>Additional dependencies for testing</strong>: <a class="reference external" href="http://doc.pytest.org/en/latest/">pytest</a> (version 3.6 or later),
<a class="reference external" href="https://www.ghostscript.com/">Ghostscript</a>, <a class="reference external" href="https://inkscape.org/">Inkscape</a></p>
</div>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<ul class="last simple">
<li><a class="reference internal" href="testing.html#testing"><span class="std std-ref">Developer's tips for testing</span></a></li>
</ul>
</div>
</div>
</div>
<div class="section" id="contributing-code">
<h2>Contributing code<a class="headerlink" href="#contributing-code" title="Permalink to this headline">¶</a></h2>
<div class="section" id="how-to-contribute">
<h3>How to contribute<a class="headerlink" href="#how-to-contribute" title="Permalink to this headline">¶</a></h3>
<p>The preferred way to contribute to Matplotlib is to fork the <a class="reference external" href="https://github.com/matplotlib/matplotlib/">main
repository</a> on GitHub,
then submit a "pull request" (PR).</p>
<p>The best practices for using GitHub to make PRs to Matplotlib are
documented in the <a class="reference internal" href="gitwash/development_workflow.html#development-workflow"><span class="std std-ref">Development workflow</span></a> section.</p>
<p>A brief overview is:</p>
<ol class="arabic">
<li><p class="first"><a class="reference external" href="https://github.com/join">Create an account</a> on GitHub if you do not
already have one.</p>
</li>
<li><p class="first">Fork the <a class="reference external" href="https://github.com/matplotlib/matplotlib">project repository</a>:
click on the 'Fork' button near the top of the page. This creates a copy of
the code under your account on the GitHub server.</p>
</li>
<li><p class="first">Clone this copy to your local disk:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ git clone https://github.com/YourLogin/matplotlib.git
</pre></div>
</div>
</li>
<li><p class="first">Create a branch to hold your changes:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ git checkout -b my-feature origin/master
</pre></div>
</div>
<p>and start making changes. Never work in the <code class="docutils literal notranslate"><span class="pre">master</span></code> branch!</p>
</li>
<li><p class="first">Work on this copy, on your computer, using Git to do the version control.
When you're done editing e.g., <code class="docutils literal notranslate"><span class="pre">lib/matplotlib/collections.py</span></code>, do:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ git add lib/matplotlib/collections.py
$ git commit
</pre></div>
</div>
<p>to record your changes in Git, then push them to GitHub with:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ git push -u origin my-feature
</pre></div>
</div>
</li>
</ol>
<p>Finally, go to the web page of your fork of the Matplotlib repo, and click
'Pull request' to send your changes to the maintainers for review. You may
want to consider sending an email to the mailing list for more visibility.</p>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<ul class="last simple">
<li><a class="reference external" href="https://git-scm.com/documentation">Git documentation</a></li>
<li><a class="reference external" href="https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project">Git-Contributing to a Project</a></li>
<li><a class="reference external" href="https://lab.github.com/githubtraining/introduction-to-github">Introduction to Github</a></li>
<li><a class="reference internal" href="gitwash/development_workflow.html#development-workflow"><span class="std std-ref">Development workflow</span></a>.</li>
<li><a class="reference internal" href="gitwash/index.html#using-git"><span class="std std-ref">Working with Matplotlib source code</span></a></li>
</ul>
</div>
</div>
<div class="section" id="contributing-pull-requests">
<h3>Contributing pull requests<a class="headerlink" href="#contributing-pull-requests" title="Permalink to this headline">¶</a></h3>
<p>It is recommended to check that your contribution complies with the following
rules before submitting a pull request:</p>
<ul>
<li><p class="first">If your pull request addresses an issue, please use the title to describe the
issue and mention the issue number in the pull request description to ensure
that a link is created to the original issue.</p>
</li>
<li><p class="first">All public methods should have informative docstrings with sample usage when
appropriate. Use the <a class="reference external" href="https://numpydoc.readthedocs.io/en/latest/format.html">numpy docstring standard</a>.</p>
</li>
<li><p class="first">Formatting should follow the recommendations of <a class="reference external" href="https://www.python.org/dev/peps/pep-0008/">PEP8</a>. You should consider
installing/enabling automatic PEP8 checking in your editor. Part of the test
suite is checking PEP8 compliance, things go smoother if the code is mostly
PEP8 compliant to begin with.</p>
</li>
<li><p class="first">Each high-level plotting function should have a simple example in the
<code class="docutils literal notranslate"><span class="pre">Example</span></code> section of the docstring. This should be as simple as possible
to demonstrate the method. More complex examples should go in the
<code class="docutils literal notranslate"><span class="pre">examples</span></code> tree.</p>
</li>
<li><p class="first">Changes (both new features and bugfixes) should be tested. See <a class="reference internal" href="testing.html#testing"><span class="std std-ref">Developer's tips for testing</span></a>
for more details.</p>
</li>
<li><p class="first">Import the following modules using the standard scipy conventions:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">numpy.ma</span> <span class="k">as</span> <span class="nn">ma</span>
<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">matplotlib.cbook</span> <span class="k">as</span> <span class="nn">cbook</span>
<span class="kn">import</span> <span class="nn">matplotlib.patches</span> <span class="k">as</span> <span class="nn">mpatches</span>
</pre></div>
</div>
</li>
<li><p class="first">If your change is a major new feature, add an entry to the <code class="docutils literal notranslate"><span class="pre">What's</span> <span class="pre">new</span></code>
section by adding a new file in <code class="docutils literal notranslate"><span class="pre">doc/users/next_whats_new</span></code> (see
<code class="file docutils literal notranslate"><span class="pre">doc/users/next_whats_new/README.rst</span></code> for more information).</p>
</li>
<li><p class="first">If you change the API in a backward-incompatible way, please document it in
<code class="xref py py-obj docutils literal notranslate"><span class="pre">doc/api/api_changes</span></code>, by adding a new file describing your changes (see
<code class="file docutils literal notranslate"><span class="pre">doc/api/api_changes/README.rst</span></code> for more information)</p>
</li>
<li><p class="first">See below for additional points about <a class="reference internal" href="#keyword-argument-processing"><span class="std std-ref">Keyword argument processing</span></a>, if
applicable for your pull request.</p>
</li>
</ul>
<p>In addition, you can check for common programming errors with the following
tools:</p>
<ul>
<li><p class="first">Code with a good unittest coverage (at least 70%, better 100%), check with:</p>
<div class="highlight-default notranslate"><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">coverage</span>
<span class="n">pytest</span> <span class="o">--</span><span class="n">cov</span><span class="o">=</span><span class="n">matplotlib</span> <span class="o">--</span><span class="n">showlocals</span> <span class="o">-</span><span class="n">v</span>
</pre></div>
</div>
</li>
<li><p class="first">No pyflakes warnings, check with:</p>
<div class="highlight-default notranslate"><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">pyflakes</span>
<span class="n">pyflakes</span> <span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">module</span><span class="o">.</span><span class="n">py</span>
</pre></div>
</div>
</li>
</ul>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">The current state of the Matplotlib code base is not compliant with all
of those guidelines, but we expect that enforcing those constraints on all
new contributions will move the overall code base quality in the right
direction.</p>
</div>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<ul class="last simple">
<li><a class="reference internal" href="#coding-guidelines"><span class="std std-ref">Coding guidelines</span></a></li>
<li><a class="reference internal" href="testing.html#testing"><span class="std std-ref">Developer's tips for testing</span></a></li>
<li><a class="reference internal" href="documenting_mpl.html#documenting-matplotlib"><span class="std std-ref">Writing documentation</span></a></li>
</ul>
</div>
</div>
<div class="section" id="issues-for-new-contributors">
<span id="new-contributors"></span><h3>Issues for New Contributors<a class="headerlink" href="#issues-for-new-contributors" title="Permalink to this headline">¶</a></h3>
<p>New contributors should look for the following tags when looking for issues.
We strongly recommend that new contributors tackle issues labeled
<a class="reference external" href="https://github.com/matplotlib/matplotlib/labels/good%20first%20issue">good first issue</a>
as they are easy, well documented issues, that do not require an understanding of
the different submodules of Matplotlib.
This helps the contributor become familiar with the contribution
workflow, and for the core devs to become acquainted with the contributor;
besides which, we frequently underestimate how easy an issue is to solve!</p>
</div>
</div>
<div class="section" id="other-ways-to-contribute">
<span id="id2"></span><h2>Other ways to contribute<a class="headerlink" href="#other-ways-to-contribute" title="Permalink to this headline">¶</a></h2>
<p>Code is not the only way to contribute to Matplotlib. For instance,
documentation is also a very important part of the project and often doesn't
get as much attention as it deserves. If you find a typo in the documentation,
or have made improvements, do not hesitate to send an email to the mailing
list or submit a GitHub pull request. Full documentation can be found under
the doc/ directory.</p>
<p>It also helps us if you spread the word: reference the project from your blog
and articles or link to it from your website!</p>
</div>
<div class="section" id="coding-guidelines">
<span id="id3"></span><h2>Coding guidelines<a class="headerlink" href="#coding-guidelines" title="Permalink to this headline">¶</a></h2>
<div class="section" id="new-modules-and-files-installation">
<h3>New modules and files: installation<a class="headerlink" href="#new-modules-and-files-installation" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>If you have added new files or directories, or reorganized existing
ones, make sure the new files are included in the match patterns in
<code class="file docutils literal notranslate"><span class="pre">MANIFEST.in</span></code>, and/or in <code class="xref py py-obj docutils literal notranslate"><span class="pre">package_data</span></code> in <code class="xref py py-obj docutils literal notranslate"><span class="pre">setup.py</span></code>.</li>
</ul>
</div>
<div class="section" id="c-c-extensions">
<h3>C/C++ extensions<a class="headerlink" href="#c-c-extensions" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>Extensions may be written in C or C++.</li>
<li>Code style should conform to PEP7 (understanding that PEP7 doesn't
address C++, but most of its admonitions still apply).</li>
<li>Python/C interface code should be kept separate from the core C/C++
code. The interface code should be named <code class="xref py py-obj docutils literal notranslate"><span class="pre">FOO_wrap.cpp</span></code> or
<code class="xref py py-obj docutils literal notranslate"><span class="pre">FOO_wrapper.cpp</span></code>.</li>
<li>Header file documentation (aka docstrings) should be in Numpydoc
format. We don't plan on using automated tools for these
docstrings, and the Numpydoc format is well understood in the
scientific Python community.</li>
</ul>
</div>
<div class="section" id="keyword-argument-processing">
<span id="id4"></span><h3>Keyword argument processing<a class="headerlink" href="#keyword-argument-processing" title="Permalink to this headline">¶</a></h3>
<p>Matplotlib makes extensive use of <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code> for pass-through
customizations from one function to another. A typical example is in
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.text.html#matplotlib.pyplot.text" title="matplotlib.pyplot.text"><code class="xref py py-func docutils literal notranslate"><span class="pre">matplotlib.pyplot.text()</span></code></a>. The definition of the pylab text
function is a simple pass-through to
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.text.html#matplotlib.axes.Axes.text" title="matplotlib.axes.Axes.text"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.text()</span></code></a>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># in pylab.py</span>
<span class="k">def</span> <span class="nf">text</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">ret</span> <span class="o">=</span> <span class="n">gca</span><span class="p">()</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">draw_if_interactive</span><span class="p">()</span>
<span class="k">return</span> <span class="n">ret</span>
</pre></div>
</div>
<p><a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.text.html#matplotlib.axes.Axes.text" title="matplotlib.axes.Axes.text"><code class="xref py py-meth docutils literal notranslate"><span class="pre">text()</span></code></a> in simplified form looks like this,
i.e., it just passes all <code class="docutils literal notranslate"><span class="pre">args</span></code> and <code class="docutils literal notranslate"><span class="pre">kwargs</span></code> on to
<code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.text.Text.__init__()</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># in axes/_axes.py</span>
<span class="k">def</span> <span class="nf">text</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="n">fontdict</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">withdash</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">t</span> <span class="o">=</span> <span class="n">Text</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">y</span><span class="p">,</span> <span class="n">text</span><span class="o">=</span><span class="n">s</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
</pre></div>
</div>
<p>and <code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code> (again with liberties for
illustration) just passes them on to the
<a class="reference internal" href="../api/_as_gen/matplotlib.artist.Artist.update.html#matplotlib.artist.Artist.update" title="matplotlib.artist.Artist.update"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.artist.Artist.update()</span></code></a> method:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># in text.py</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">text</span><span class="o">=</span><span class="s1">''</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">Artist</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">kwargs</span><span class="p">)</span>
</pre></div>
</div>
<p><code class="docutils literal notranslate"><span class="pre">update</span></code> does the work looking for methods named like
<code class="docutils literal notranslate"><span class="pre">set_property</span></code> if <code class="docutils literal notranslate"><span class="pre">property</span></code> is a keyword argument. i.e., no one
looks at the keywords, they just get passed through the API to the
artist constructor which looks for suitably named methods and calls
them with the value.</p>
<p>As a general rule, the use of <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code> should be reserved for
pass-through keyword arguments, as in the example above. If all the
keyword args are to be used in the function, and not passed
on, use the key/value keyword args in the function definition rather
than the <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code> idiom.</p>
<p>In some cases, you may want to consume some keys in the local
function, and let others pass through. Instead of poping arguments to
use off <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code>, specify them as keyword-only arguments to the local
function. This makes it obvious at a glance which arguments will be
consumed in the function. For example, in
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">plot()</span></code></a>, <code class="docutils literal notranslate"><span class="pre">scalex</span></code> and <code class="docutils literal notranslate"><span class="pre">scaley</span></code> are
local arguments and the rest are passed on as
<a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Line2D()</span></code></a> keyword arguments:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># in axes/_axes.py</span>
<span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="n">scalex</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">scaley</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">lines</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_lines</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">add_line</span><span class="p">(</span><span class="n">line</span><span class="p">)</span>
<span class="n">lines</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">line</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="using-logging-for-debug-messages">
<span id="using-logging"></span><h3>Using logging for debug messages<a class="headerlink" href="#using-logging-for-debug-messages" title="Permalink to this headline">¶</a></h3>
<p>Matplotlib uses the standard python <a class="reference external" href="https://docs.python.org/3/library/logging.html#module-logging" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging</span></code></a> library to write verbose
warnings, information, and
debug messages. Please use it! In all those places you write <a class="reference external" href="https://docs.python.org/3/library/functions.html#print" title="(in Python v3.8)"><code class="xref py py-func docutils literal notranslate"><span class="pre">print()</span></code></a>
statements to do your debugging, try using <code class="xref py py-func docutils literal notranslate"><span class="pre">log.debug()</span></code> instead!</p>
<p>To include <a class="reference external" href="https://docs.python.org/3/library/logging.html#module-logging" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging</span></code></a> in your module, at the top of the module, you need to
<code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">logging</span></code>. Then calls in your code like:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">_log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span> <span class="c1"># right after the imports</span>
<span class="c1"># code</span>
<span class="c1"># more code</span>
<span class="n">_log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Here is some information'</span><span class="p">)</span>
<span class="n">_log</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">'Here is some more detailed information'</span><span class="p">)</span>
</pre></div>
</div>
<p>will log to a logger named <code class="docutils literal notranslate"><span class="pre">matplotlib.yourmodulename</span></code>.</p>
<p>If an end-user of Matplotlib sets up <a class="reference external" href="https://docs.python.org/3/library/logging.html#module-logging" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging</span></code></a> to display at levels
more verbose than <code class="xref py py-obj docutils literal notranslate"><span class="pre">logger.WARNING</span></code> in their code with the Matplotlib-provided
helper:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">set_loglevel</span><span class="p">(</span><span class="s2">"debug"</span><span class="p">)</span>
</pre></div>
</div>
<p>or manually with</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">logging</span>
<span class="n">logging</span><span class="o">.</span><span class="n">basicConfig</span><span class="p">(</span><span class="n">level</span><span class="o">=</span><span class="n">logging</span><span class="o">.</span><span class="n">DEBUG</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
</pre></div>
</div>
<p>Then they will receive messages like:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">DEBUG</span><span class="p">:</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">backends</span><span class="p">:</span><span class="n">backend</span> <span class="n">MacOSX</span> <span class="n">version</span> <span class="n">unknown</span>
<span class="n">DEBUG</span><span class="p">:</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">yourmodulename</span><span class="p">:</span><span class="n">Here</span> <span class="ow">is</span> <span class="n">some</span> <span class="n">information</span>
<span class="n">DEBUG</span><span class="p">:</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">yourmodulename</span><span class="p">:</span><span class="n">Here</span> <span class="ow">is</span> <span class="n">some</span> <span class="n">more</span> <span class="n">detailed</span> <span class="n">information</span>
</pre></div>
</div>
<div class="section" id="which-logging-level-to-use">
<h4>Which logging level to use?<a class="headerlink" href="#which-logging-level-to-use" title="Permalink to this headline">¶</a></h4>
<p>There are five levels at which you can emit messages.</p>
<ul class="simple">
<li><a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.critical" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.critical</span></code></a> and <a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.error" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.error</span></code></a> are really only there for errors that
will end the use of the library but not kill the interpreter.</li>
<li><a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.warning" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.warning</span></code></a> and <code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code> are used to warn the user,
see below.</li>
<li><a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.info" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.info</span></code></a> is for information that the user may want to know if the
program behaves oddly. They are not displayed by default. For instance, if
an object isn't drawn because its position is <code class="docutils literal notranslate"><span class="pre">NaN</span></code>, that can usually
be ignored, but a mystified user could call
<code class="docutils literal notranslate"><span class="pre">logging.basicConfig(level=logging.INFO)</span></code> and get an error message that
says why.</li>
<li><a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.debug" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.debug</span></code></a> is the least likely to be displayed, and hence can be the
most verbose. "Expected" code paths (e.g., reporting normal intermediate
steps of layouting or rendering) should only log at this level.</li>
</ul>
<p>By default, <a class="reference external" href="https://docs.python.org/3/library/logging.html#module-logging" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging</span></code></a> displays all log messages at levels higher than
<code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.WARNING</span></code> to <a class="reference external" href="https://docs.python.org/3/library/sys.html#sys.stderr" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sys.stderr</span></code></a>.</p>
<p>The <a class="reference external" href="https://docs.python.org/3/howto/logging.html#logging-basic-tutorial">logging tutorial</a> suggests that the difference
between <a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.warning" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.warning</span></code></a> and <code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code> (which uses
<a class="reference external" href="https://docs.python.org/3/library/warnings.html#warnings.warn" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">warnings.warn</span></code></a>) is that <code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code> should be used for things the
user must change to stop the warning (typically in the source), whereas
<a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.warning" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.warning</span></code></a> can be more persistent. Moreover, note that
<code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code> will by default only emit a given warning <em>once</em> for
each line of user code, whereas <a class="reference external" href="https://docs.python.org/3/library/logging.html#logging.warning" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logging.warning</span></code></a> will display the message
every time it is called.</p>
<p>By default, <a class="reference external" href="https://docs.python.org/3/library/warnings.html#warnings.warn" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">warnings.warn</span></code></a> displays the line of code that has the <code class="xref py py-obj docutils literal notranslate"><span class="pre">warn</span></code> call.
This usually isn't more informative than the warning message itself. Therefore,
Matplotlib uses <code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code> which uses <a class="reference external" href="https://docs.python.org/3/library/warnings.html#warnings.warn" title="(in Python v3.8)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">warnings.warn</span></code></a>, but goes
up the stack and displays the first line of code outside of Matplotlib.
For example, for the module:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># in my_matplotlib_module.py</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="k">def</span> <span class="nf">set_range</span><span class="p">(</span><span class="n">bottom</span><span class="p">,</span> <span class="n">top</span><span class="p">):</span>
<span class="k">if</span> <span class="n">bottom</span> <span class="o">==</span> <span class="n">top</span><span class="p">:</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'Attempting to set identical bottom==top'</span><span class="p">)</span>
</pre></div>
</div>
<p>running the script:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">my_matplotlib_module</span>
<span class="n">my_matplotlib_module</span><span class="o">.</span><span class="n">set_range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="c1">#set range</span>
</pre></div>
</div>
<p>will display:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="ne">UserWarning</span><span class="p">:</span> <span class="n">Attempting</span> <span class="n">to</span> <span class="nb">set</span> <span class="n">identical</span> <span class="n">bottom</span><span class="o">==</span><span class="n">top</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'Attempting to set identical bottom==top'</span><span class="p">)</span>
</pre></div>
</div>
<p>Modifying the module to use <code class="xref py py-obj docutils literal notranslate"><span class="pre">cbook._warn_external</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">cbook</span>
<span class="k">def</span> <span class="nf">set_range</span><span class="p">(</span><span class="n">bottom</span><span class="p">,</span> <span class="n">top</span><span class="p">):</span>
<span class="k">if</span> <span class="n">bottom</span> <span class="o">==</span> <span class="n">top</span><span class="p">:</span>
<span class="n">cbook</span><span class="o">.</span><span class="n">_warn_external</span><span class="p">(</span><span class="s1">'Attempting to set identical bottom==top'</span><span class="p">)</span>
</pre></div>
</div>
<p>and running the same script will display:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="ne">UserWarning</span><span class="p">:</span> <span class="n">Attempting</span> <span class="n">to</span> <span class="nb">set</span> <span class="n">identical</span> <span class="n">bottom</span><span class="o">==</span><span class="n">top</span>
<span class="n">my_matplotlib_module</span><span class="o">.</span><span class="n">set_range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="c1">#set range</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="developing-a-new-backend">
<span id="custom-backend"></span><h3>Developing a new backend<a class="headerlink" href="#developing-a-new-backend" title="Permalink to this headline">¶</a></h3>
<p>If you are working on a custom backend, the <em>backend</em> setting in
<code class="file docutils literal notranslate"><span class="pre">matplotlibrc</span></code> (<a class="reference internal" href="../tutorials/introductory/customizing.html"><span class="doc">Customizing Matplotlib with style sheets and rcParams</span></a>) supports an
external backend via the <code class="docutils literal notranslate"><span class="pre">module</span></code> directive. If
<code class="file docutils literal notranslate"><span class="pre">my_backend.py</span></code> is a Matplotlib backend in your
<span class="target" id="index-0"></span><a class="reference internal" href="../faq/environment_variables_faq.html#envvar-PYTHONPATH"><code class="xref std std-envvar docutils literal notranslate"><span class="pre">PYTHONPATH</span></code></a>, you can set it on one of several ways</p>
<ul>
<li><p class="first">in <code class="file docutils literal notranslate"><span class="pre">matplotlibrc</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">backend</span> <span class="p">:</span> <span class="n">module</span><span class="p">:</span><span class="o">//</span><span class="n">my_backend</span>
</pre></div>
</div>
</li>
<li><p class="first">with the <span class="target" id="index-1"></span><a class="reference internal" href="../faq/environment_variables_faq.html#envvar-MPLBACKEND"><code class="xref std std-envvar docutils literal notranslate"><span class="pre">MPLBACKEND</span></code></a> environment variable:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">></span> <span class="n">export</span> <span class="n">MPLBACKEND</span><span class="o">=</span><span class="s2">"module://my_backend"</span>
<span class="o">></span> <span class="n">python</span> <span class="n">simple_plot</span><span class="o">.</span><span class="n">py</span>
</pre></div>
</div>
</li>
<li><p class="first">with the use directive in your script:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">'module://my_backend'</span><span class="p">)</span>
</pre></div>
</div>
</li>
</ul>
</div>
<div class="section" id="writing-examples">
<span id="sample-data"></span><h3>Writing examples<a class="headerlink" href="#writing-examples" title="Permalink to this headline">¶</a></h3>
<p>We have hundreds of examples in subdirectories of
<code class="file docutils literal notranslate"><span class="pre">matplotlib/examples</span></code>, and these are automatically generated
when the website is built to show up in the <code class="xref py py-obj docutils literal notranslate"><span class="pre">examples</span></code> section of the website.</p>
<p>Any sample data that the example uses should be kept small and
distributed with Matplotlib in the
<code class="xref py py-obj docutils literal notranslate"><span class="pre">lib/matplotlib/mpl-data/sample_data/</span></code> directory. Then in your
example code you can load it into a file handle with:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.cbook</span> <span class="k">as</span> <span class="nn">cbook</span>
<span class="n">fh</span> <span class="o">=</span> <span class="n">cbook</span><span class="o">.</span><span class="n">get_sample_data</span><span class="p">(</span><span class="s1">'mydata.dat'</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
</div>
</div>
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