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<li><a class="reference internal" href="#the-pyplot-api">The pyplot API</a></li>
<li><a class="reference internal" href="#the-object-oriented-api">The object-oriented API</a></li>
<li><a class="reference internal" href="#module-pylab">The pylab API (disapproved)</a></li>
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<div class="section" id="api-overview">
<h1>API Overview<a class="headerlink" href="#api-overview" title="Permalink to this headline">¶</a></h1>
<div class="toctree-wrapper compound">
</div>
<div class="contents local topic" id="contents">
<ul class="simple">
<li><a class="reference internal" href="#usage-patterns" id="id1">Usage patterns</a><ul>
<li><a class="reference internal" href="#the-pyplot-api" id="id2">The pyplot API</a></li>
<li><a class="reference internal" href="#the-object-oriented-api" id="id3">The object-oriented API</a></li>
<li><a class="reference internal" href="#module-pylab" id="id4">The pylab API (disapproved)</a></li>
</ul>
</li>
<li><a class="reference internal" href="#modules" id="id5">Modules</a></li>
<li><a class="reference internal" href="#toolkits" id="id6">Toolkits</a></li>
</ul>
</div>
<p>See also the <a class="reference internal" href="api_changes.html"><span class="doc">API Changes</span></a>.</p>
<div class="section" id="usage-patterns">
<h2><a class="toc-backref" href="#id1">Usage patterns</a><a class="headerlink" href="#usage-patterns" title="Permalink to this headline">¶</a></h2>
<p>Below we describe several common approaches to plotting with Matplotlib.</p>
<div class="section" id="the-pyplot-api">
<h3><a class="toc-backref" href="#id2">The pyplot API</a><a class="headerlink" href="#the-pyplot-api" title="Permalink to this headline">¶</a></h3>
<p><a class="reference internal" href="_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.pyplot</span></code></a> is a collection of command style functions that make
Matplotlib work like MATLAB. Each pyplot function makes some change to a
figure: e.g., creates a figure, creates a plotting area in a figure, plots
some lines in a plotting area, decorates the plot with labels, etc.</p>
<p><a class="reference internal" href="_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot</span></code></a> is mainly intended for interactive plots and simple cases of
programmatic plot generation.</p>
<p>Further reading:</p>
<ul class="simple">
<li>The <a class="reference internal" href="_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.pyplot</span></code></a> function reference</li>
<li><a class="reference internal" href="../tutorials/introductory/pyplot.html"><span class="doc">Pyplot tutorial</span></a></li>
<li><a class="reference internal" href="../gallery/index.html#pyplots-examples"><span class="std std-ref">Pyplot examples</span></a></li>
</ul>
</div>
<div class="section" id="the-object-oriented-api">
<span id="api-index"></span><h3><a class="toc-backref" href="#id3">The object-oriented API</a><a class="headerlink" href="#the-object-oriented-api" title="Permalink to this headline">¶</a></h3>
<p>At its core, Matplotlib is object-oriented. We recommend directly working
with the objects, if you need more control and customization of your plots.</p>
<p>In many cases you will create a <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Figure</span></code></a> and one or more
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes</span></code></a> using <a class="reference internal" href="_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyplot.subplots</span></code></a> and from then on only work
on these objects. However, it's also possible to create <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Figure</span></code></a>s
explicitly (e.g. when including them in GUI applications).</p>
<p>Further reading:</p>
<ul class="simple">
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a> and <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a> for an overview of
plotting functions.</li>
<li>Most of the <a class="reference internal" href="../gallery/index.html#examples-index"><span class="std std-ref">examples</span></a> use the object-oriented approach
(except for the pyplot section)</li>
</ul>
</div>
<div class="section" id="module-pylab">
<span id="the-pylab-api-disapproved"></span><h3><a class="toc-backref" href="#id4">The pylab API (disapproved)</a><a class="headerlink" href="#module-pylab" title="Permalink to this headline">¶</a></h3>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">Since heavily importing into the global namespace may result in unexpected
behavior, the use of pylab is strongly discouraged. Use <a class="reference internal" href="_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.pyplot</span></code></a>
instead.</p>
</div>
<p><a class="reference internal" href="#module-pylab" title="pylab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pylab</span></code></a> is a module that includes <a class="reference internal" href="_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.pyplot</span></code></a>, <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.19)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy</span></code></a>, <a class="reference external" href="https://numpy.org/doc/stable/reference/routines.fft.html#module-numpy.fft" title="(in NumPy v1.19)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy.fft</span></code></a>,
<a class="reference external" href="https://numpy.org/doc/stable/reference/routines.linalg.html#module-numpy.linalg" title="(in NumPy v1.19)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy.linalg</span></code></a>, <a class="reference external" href="https://numpy.org/doc/stable/reference/random/index.html#module-numpy.random" title="(in NumPy v1.19)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy.random</span></code></a>, and some additional functions, all within
a single namespace. Its original purpose was to mimic a MATLAB-like way
of working by importing all functions into the global namespace. This is
considered bad style nowadays.</p>
</div>
</div>
<div class="section" id="modules">
<h2><a class="toc-backref" href="#id5">Modules</a><a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
<p>Matplotlib consists of the following submodules:</p>
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<div class="section" id="toolkits">
<h2><a class="toc-backref" href="#id6">Toolkits</a><a class="headerlink" href="#toolkits" title="Permalink to this headline">¶</a></h2>
<p><a class="reference internal" href="toolkits/index.html#toolkits-index"><span class="std std-ref">Toolkits</span></a> are collections of application-specific functions that extend
Matplotlib. The following toolkits are included:</p>
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<li class="toctree-l1"><a class="reference internal" href="toolkits/mplot3d.html">mplot3d API</a></li>
<li class="toctree-l1"><a class="reference internal" href="toolkits/axes_grid1.html">Matplotlib axes_grid1 Toolkit</a></li>
<li class="toctree-l1"><a class="reference internal" href="toolkits/axisartist.html">Matplotlib axisartist Toolkit</a></li>
<li class="toctree-l1"><a class="reference internal" href="toolkits/axes_grid.html">Matplotlib axes_grid Toolkit</a></li>
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