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<section id="matplotlib-axes-axes-acorr">
<h1>matplotlib.axes.Axes.acorr<a class="headerlink" href="#matplotlib-axes-axes-acorr" title="Link to this heading">#</a></h1>
<dl class="py method">
<dt class="sig sig-object py" id="matplotlib.axes.Axes.acorr">
<span class="sig-prename descclassname"><span class="pre">Axes.</span></span><span class="sig-name descname"><span class="pre">acorr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/axes/_axes.py#L1929-L2001"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#matplotlib.axes.Axes.acorr" title="Link to this definition">#</a></dt>
<dd><p>Plot the autocorrelation of <em>x</em>.</p>
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>x</strong><span class="classifier">array-like</span></dt><dd><p>Not run through Matplotlib's unit conversion, so this should
be a unit-less array.</p>
</dd>
<dt><strong>detrend</strong><span class="classifier">callable, default: <a class="reference internal" href="../mlab_api.html#matplotlib.mlab.detrend_none" title="matplotlib.mlab.detrend_none"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mlab.detrend_none</span></code></a> (no detrending)</span></dt><dd><p>A detrending function applied to <em>x</em>. It must have the
signature</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">detrend</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span>
</pre></div>
</div>
</dd>
<dt><strong>normed</strong><span class="classifier">bool, default: True</span></dt><dd><p>If <code class="docutils literal notranslate"><span class="pre">True</span></code>, input vectors are normalised to unit length.</p>
</dd>
<dt><strong>usevlines</strong><span class="classifier">bool, default: True</span></dt><dd><p>Determines the plot style.</p>
<p>If <code class="docutils literal notranslate"><span class="pre">True</span></code>, vertical lines are plotted from 0 to the acorr value
using <a class="reference internal" href="matplotlib.axes.Axes.vlines.html#matplotlib.axes.Axes.vlines" title="matplotlib.axes.Axes.vlines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.vlines</span></code></a>. Additionally, a horizontal line is plotted
at y=0 using <a class="reference internal" href="matplotlib.axes.Axes.axhline.html#matplotlib.axes.Axes.axhline" title="matplotlib.axes.Axes.axhline"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.axhline</span></code></a>.</p>
<p>If <code class="docutils literal notranslate"><span class="pre">False</span></code>, markers are plotted at the acorr values using
<a class="reference internal" href="matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.plot</span></code></a>.</p>
</dd>
<dt><strong>maxlags</strong><span class="classifier">int, default: 10</span></dt><dd><p>Number of lags to show. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, will return all
<code class="docutils literal notranslate"><span class="pre">2</span> <span class="pre">*</span> <span class="pre">len(x)</span> <span class="pre">-</span> <span class="pre">1</span></code> lags.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>lags</strong><span class="classifier">array (length <code class="docutils literal notranslate"><span class="pre">2*maxlags+1</span></code>)</span></dt><dd><p>The lag vector.</p>
</dd>
<dt><strong>c</strong><span class="classifier">array (length <code class="docutils literal notranslate"><span class="pre">2*maxlags+1</span></code>)</span></dt><dd><p>The auto correlation vector.</p>
</dd>
<dt><strong>line</strong><span class="classifier"><a class="reference internal" href="../collections_api.html#matplotlib.collections.LineCollection" title="matplotlib.collections.LineCollection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LineCollection</span></code></a> or <a class="reference internal" href="matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Line2D</span></code></a></span></dt><dd><p><a class="reference internal" href="../artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Artist</span></code></a> added to the Axes of the correlation:</p>
<ul class="simple">
<li><p><a class="reference internal" href="../collections_api.html#matplotlib.collections.LineCollection" title="matplotlib.collections.LineCollection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LineCollection</span></code></a> if <em>usevlines</em> is True.</p></li>
<li><p><a class="reference internal" href="matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Line2D</span></code></a> if <em>usevlines</em> is False.</p></li>
</ul>
</dd>
<dt><strong>b</strong><span class="classifier"><a class="reference internal" href="matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Line2D</span></code></a> or None</span></dt><dd><p>Horizontal line at 0 if <em>usevlines</em> is True
None <em>usevlines</em> is False.</p>
</dd>
</dl>
</dd>
<dt class="field-odd">Other Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>linestyle</strong><span class="classifier"><a class="reference internal" href="matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Line2D</span></code></a> property, optional</span></dt><dd><p>The linestyle for plotting the data points.
Only used if <em>usevlines</em> is <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p>
</dd>
<dt><strong>marker</strong><span class="classifier">str, default: 'o'</span></dt><dd><p>The marker for plotting the data points.
Only used if <em>usevlines</em> is <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p>
</dd>
<dt><strong>data</strong><span class="classifier">indexable object, optional</span></dt><dd><p>If given, the following parameters also accept a string <code class="docutils literal notranslate"><span class="pre">s</span></code>, which is
interpreted as <code class="docutils literal notranslate"><span class="pre">data[s]</span></code> if <code class="docutils literal notranslate"><span class="pre">s</span></code> is a key in <code class="docutils literal notranslate"><span class="pre">data</span></code>:</p>
<p><em>x</em></p>
</dd>
<dt><strong>**kwargs</strong></dt><dd><p>Additional parameters are passed to <a class="reference internal" href="matplotlib.axes.Axes.vlines.html#matplotlib.axes.Axes.vlines" title="matplotlib.axes.Axes.vlines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.vlines</span></code></a> and
<a class="reference internal" href="matplotlib.axes.Axes.axhline.html#matplotlib.axes.Axes.axhline" title="matplotlib.axes.Axes.axhline"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.axhline</span></code></a> if <em>usevlines</em> is <code class="docutils literal notranslate"><span class="pre">True</span></code>; otherwise they are
passed to <a class="reference internal" href="matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.plot</span></code></a>.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>The cross correlation is performed with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.correlate.html#numpy.correlate" title="(in NumPy v2.2)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy.correlate</span></code></a> with
<code class="docutils literal notranslate"><span class="pre">mode</span> <span class="pre">=</span> <span class="pre">"full"</span></code>.</p>
</dd></dl>
<section id="examples-using-matplotlib-axes-axes-acorr">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.acorr</span></code><a class="headerlink" href="#examples-using-matplotlib-axes-axes-acorr" title="Link to this heading">#</a></h2>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Example use of cross-correlation (`~.Axes.xcorr`) and auto-correlation (`~.Axes.acorr`) plots."><img alt="" loading="lazy" src="../../_images/sphx_glr_xcorr_acorr_demo_thumb.png" />
<p><a class="reference internal" href="../../gallery/lines_bars_and_markers/xcorr_acorr_demo.html#sphx-glr-gallery-lines-bars-and-markers-xcorr-acorr-demo-py"><span class="std std-ref">Cross- and auto-correlation</span></a></p>
<div class="sphx-glr-thumbnail-title">Cross- and auto-correlation</div>
</div></div></section>
</section>
</article>
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