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<div class="sphx-glr-download-link-note admonition note">
<p class="admonition-title">Note</p>
<p>Click <a class="reference internal" href="#sphx-glr-download-plot-types-stats-violin-py"><span class="std std-ref">here</span></a>
to download the full example code</p>
</div>
<section class="sphx-glr-example-title" id="violinplot-d">
<span id="sphx-glr-plot-types-stats-violin-py"></span><h1>violinplot(D)<a class="headerlink" href="#violinplot-d" title="Permalink to this heading">#</a></h1>
<p>See <a class="reference internal" href="../../api/_as_gen/matplotlib.axes.Axes.violinplot.html#matplotlib.axes.Axes.violinplot" title="matplotlib.axes.Axes.violinplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">violinplot</span></code></a>.</p>
<img src="../../_images/sphx_glr_violin_001.png" srcset="../../_images/sphx_glr_violin_001.png, ../../_images/sphx_glr_violin_001_2_0x.png 2.0x" alt="violin" class = "sphx-glr-single-img"/><div class="highlight-default notranslate"><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="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">'_mpl-gallery'</span><span class="p">)</span>
<span class="c1"># make data:</span>
<a href="https://numpy.org/doc/stable/reference/random/generated/numpy.random.seed.html#numpy.random.seed" title="numpy.random.seed" class="sphx-glr-backref-module-numpy-random sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span></a><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">D</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/random/generated/numpy.random.normal.html#numpy.random.normal" title="numpy.random.normal" class="sphx-glr-backref-module-numpy-random sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span></a><span class="p">((</span><span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="p">(</span><span class="mf">0.75</span><span class="p">,</span> <span class="mf">1.00</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">),</span> <span class="p">(</span><span class="mi">200</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="c1"># plot:</span>
<a href="../../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">()</span>
<a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vp</span></a> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.axes.Axes.violinplot.html#matplotlib.axes.Axes.violinplot" title="matplotlib.axes.Axes.violinplot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">violinplot</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">D</span></a><span class="p">,</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</span> <span class="n">widths</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="n">showmeans</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">showmedians</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">showextrema</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="c1"># styling:</span>
<span class="k">for</span> <a href="../../api/collections_api.html#matplotlib.collections.PolyCollection" title="matplotlib.collections.PolyCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">body</span></a> <span class="ow">in</span> <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vp</span></a><span class="p">[</span><span class="s1">'bodies'</span><span class="p">]:</span>
<a href="../../api/collections_api.html#matplotlib.collections.PolyCollection.set_alpha" title="matplotlib.collections.PolyCollection.set_alpha" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-method"><span class="n">body</span><span class="o">.</span><span class="n">set_alpha</span></a><span class="p">(</span><span class="mf">0.9</span><span class="p">)</span>
<a href="../../api/_as_gen/matplotlib.axes.Axes.set.html#matplotlib.axes.Axes.set" title="matplotlib.axes.Axes.set" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set</span></a><span class="p">(</span><span class="n">xlim</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span> <span class="n">xticks</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.arange.html#numpy.arange" title="numpy.arange" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">arange</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span>
<span class="n">ylim</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span> <span class="n">yticks</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.arange.html#numpy.arange" title="numpy.arange" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">arange</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/d9b65d60b61233554e1a6123317baad5/violin.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">violin.py</span></code></a></p>
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<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/96dfb78e5dc87b48afee09aaf6a84cd4/violin.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">violin.ipynb</span></code></a></p>
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