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<div id="unreleased-message"> You are reading an old version of the documentation (v3.0.2). For the latest version see <a href="https://matplotlib.org/stable/gallery/scales/log_bar.html">https://matplotlib.org/stable/gallery/scales/log_bar.html</a></div>

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

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

<div class="sphx-glr-example-title section" id="log-bar">

<span id="sphx-glr-gallery-scales-log-bar-py"></span><h1>Log Bar<a class="headerlink" href="#log-bar" title="Permalink to this headline">¶</a></h1>

<p>Plotting a bar chart with a logarithmic y-axis.</p>

<img alt="../../_images/sphx_glr_log_bar_001.png" class="sphx-glr-single-img" src="../../_images/sphx_glr_log_bar_001.png" />

<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">((</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1000</span><span class="p">),</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="p">(</span><span class="mi">100</span><span class="p">,</span> <span class="mi">30</span><span class="p">),</span> <span class="p">(</span><span class="mi">500</span><span class="p">,</span> <span class="mi">800</span><span class="p">),</span> <span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>

<span class="n">dim</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>

<span class="n">w</span> <span class="o">=</span> <span class="mf">0.75</span>

<span class="n">dimw</span> <span class="o">=</span> <span class="n">w</span> <span class="o">/</span> <span class="n">dim</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">x</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.arange.html#numpy.arange" title="View documentation for numpy.arange"><span class="n">np</span><span class="o">.</span><span class="n">arange</span></a><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">])):</span>

<span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>

<span class="n">b</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">x</span> <span class="o">+</span> <span class="n">i</span> <span class="o">*</span> <span class="n">dimw</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">dimw</span><span class="p">,</span> <span class="n">bottom</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">x</span> <span class="o">+</span> <span class="n">dimw</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span> <span class="nb">map</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">x</span><span class="p">))</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">&#39;log&#39;</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;x&#39;</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;y&#39;</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/0f843b79e25c3edf69c5e86968a484c8/log_bar.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">log_bar.py</span></code></a></div>

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<a class="reference download internal" download="" href="../../_downloads/dffff5bd8cc2801877f4f6ac9d7b9d41/log_bar.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">log_bar.ipynb</span></code></a></div>

<p class="sphx-glr-signature">Keywords: matplotlib code example, codex, python plot, pyplot

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