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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<title>Create 2D bar graphs in different planes — Matplotlib 2.2.4 documentation</title>

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<div id="unreleased-message"> You are reading an old version of the documentation (v2.2.4). For the latest version see <a href="https://matplotlib.org/stable/gallery/mplot3d/bars3d.html">https://matplotlib.org/stable/gallery/mplot3d/bars3d.html</a></div>

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<span id="sphx-glr-gallery-mplot3d-bars3d-py"></span><h1>Create 2D bar graphs in different planes<a class="headerlink" href="#create-2d-bar-graphs-in-different-planes" title="Permalink to this headline">¶</a></h1>

<p>Demonstrates making a 3D plot which has 2D bar graphs projected onto

planes y=0, y=1, etc.</p>

<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">mpl_toolkits.mplot3d</span> <span class="kn">import</span> <span class="n">Axes3D</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="c1"># Fixing random state for reproducibility</span>

<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.seed.html#numpy.random.seed" title="View documentation for numpy.random.seed"><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">19680801</span><span class="p">)</span>

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

<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span>

<span class="n">colors</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'r'</span><span class="p">,</span> <span class="s1">'g'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">]</span>

<span class="n">yticks</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>

<span class="k">for</span> <span class="n">c</span><span class="p">,</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">colors</span><span class="p">,</span> <span class="n">yticks</span><span class="p">):</span>

<span class="c1"># Generate the random data for the y=k 'layer'.</span>

<span class="n">xs</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="mi">20</span><span class="p">)</span>

<span class="n">ys</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.rand.html#numpy.random.rand" title="View documentation for numpy.random.rand"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span></a><span class="p">(</span><span class="mi">20</span><span class="p">)</span>

<span class="c1"># You can provide either a single color or an array with the same length as</span>

<span class="c1"># xs and ys. To demonstrate this, we color the first bar of each set cyan.</span>

<span class="c1"># Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.</span>

<span class="n">ax</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">xs</span><span class="p">,</span> <span class="n">ys</span><span class="p">,</span> <span class="n">zs</span><span class="o">=</span><span class="n">k</span><span class="p">,</span> <span class="n">zdir</span><span class="o">=</span><span class="s1">'y'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">cs</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">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'X'</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">'Y'</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_zlabel</span><span class="p">(</span><span class="s1">'Z'</span><span class="p">)</span>

<span class="c1"># On the y axis let's only label the discrete values that we have data for.</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">yticks</span><span class="p">)</span>

</pre></div>

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<a class="reference download internal" download="" href="../../_downloads/e43287fa5e212f86c4ccf92320c52b51/bars3d.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">bars3d.py</span></code></a></div>

<a class="reference download internal" download="" href="../../_downloads/3c7d117bdccfcd5e4e5bb1f03fa974ae/bars3d.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">bars3d.ipynb</span></code></a></div>

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

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