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<p class="first admonition-title">Note</p>

<p class="last">Click <a class="reference internal" href="#sphx-glr-download-gallery-style-sheets-bmh-py"><span class="std std-ref">here</span></a> to download the full example code</p>

<div class="sphx-glr-example-title section" id="bayesian-methods-for-hackers-style-sheet">

<span id="sphx-glr-gallery-style-sheets-bmh-py"></span><h1>Bayesian Methods for Hackers style sheet<a class="headerlink" href="#bayesian-methods-for-hackers-style-sheet" title="Permalink to this headline">¶</a></h1>

<p>This example demonstrates the style used in the Bayesian Methods for Hackers

<a class="footnote-reference" href="#id2" id="id1">[1]</a> online book.</p>

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<tr><td class="label"><a class="fn-backref" href="#id1">[1]</a></td><td><a class="reference external" href="http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/">http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/</a></td></tr>

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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">numpy.random</span> <span class="kn">import</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.beta.html#numpy.random.beta" title="View documentation for numpy.random.beta"><span class="n">beta</span></a>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</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">&#39;bmh&#39;</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">plot_beta_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">):</span>

<span class="n">ax</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.beta.html#numpy.random.beta" title="View documentation for numpy.random.beta"><span class="n">beta</span></a><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">10000</span><span class="p">),</span> <span class="n">histtype</span><span class="o">=</span><span class="s2">&quot;stepfilled&quot;</span><span class="p">,</span>

<span class="n">bins</span><span class="o">=</span><span class="mi">25</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>

<span class="n">fig</span><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="View documentation for matplotlib.pyplot.subplots"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">()</span>

<span class="n">plot_beta_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>

<span class="n">plot_beta_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>

<span class="n">plot_beta_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>

<span class="n">plot_beta_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">55</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;&#39;bmh&#39; style sheet&quot;</span><span class="p">)</span>

<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="View documentation for matplotlib.pyplot.show"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>

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<a class="reference download internal" download="" href="../../_downloads/51609807c6e9fbb5ab633846b6645b2e/bmh.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">bmh.py</span></code></a></div>

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