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<div class="section" id="hatch-filled-histograms">
<span id="sphx-glr-gallery-api-filled-step-py"></span><h1>Hatch-filled histograms<a class="headerlink" href="#hatch-filled-histograms" title="Permalink to this headline">¶</a></h1>
<p>Hatching capabilities for plotting histograms.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">itertools</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">OrderedDict</span>
<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">partial</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</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">matplotlib.ticker</span> <span class="kn">as</span> <span class="nn">mticker</span>
<span class="kn">from</span> <span class="nn">cycler</span> <span class="kn">import</span> <span class="n">cycler</span>
<span class="kn">from</span> <span class="nn">six.moves</span> <span class="kn">import</span> <span class="nb">zip</span>
<span class="k">def</span> <span class="nf">filled_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">edges</span><span class="p">,</span> <span class="n">values</span><span class="p">,</span> <span class="n">bottoms</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'v'</span><span class="p">,</span>
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Draw a histogram as a stepped patch.</span>
<span class="sd"> Extra kwargs are passed through to `fill_between`</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> ax : Axes</span>
<span class="sd"> The axes to plot to</span>
<span class="sd"> edges : array</span>
<span class="sd"> A length n+1 array giving the left edges of each bin and the</span>
<span class="sd"> right edge of the last bin.</span>
<span class="sd"> values : array</span>
<span class="sd"> A length n array of bin counts or values</span>
<span class="sd"> bottoms : scalar or array, optional</span>
<span class="sd"> A length n array of the bottom of the bars. If None, zero is used.</span>
<span class="sd"> orientation : {'v', 'h'}</span>
<span class="sd"> Orientation of the histogram. 'v' (default) has</span>
<span class="sd"> the bars increasing in the positive y-direction.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> ret : PolyCollection</span>
<span class="sd"> Artist added to the Axes</span>
<span class="sd"> """</span>
<span class="k">print</span><span class="p">(</span><span class="n">orientation</span><span class="p">)</span>
<span class="k">if</span> <span class="n">orientation</span> <span class="ow">not</span> <span class="ow">in</span> <span class="nb">set</span><span class="p">(</span><span class="s1">'hv'</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"orientation must be in {{'h', 'v'}} "</span>
<span class="s2">"not {o}"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">o</span><span class="o">=</span><span class="n">orientation</span><span class="p">))</span>
<span class="n">kwargs</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s1">'step'</span><span class="p">,</span> <span class="s1">'post'</span><span class="p">)</span>
<span class="n">edges</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.asarray.html#numpy.asarray" title="View documentation for numpy.asarray"><span class="n">np</span><span class="o">.</span><span class="n">asarray</span></a><span class="p">(</span><span class="n">edges</span><span class="p">)</span>
<span class="n">values</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.asarray.html#numpy.asarray" title="View documentation for numpy.asarray"><span class="n">np</span><span class="o">.</span><span class="n">asarray</span></a><span class="p">(</span><span class="n">values</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">edges</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">values</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Must provide one more bin edge than value not: '</span>
<span class="s1">'len(edges): {lb} len(values): {lv}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
<span class="n">lb</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">edges</span><span class="p">),</span> <span class="n">lv</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">values</span><span class="p">)))</span>
<span class="k">if</span> <span class="n">bottoms</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">bottoms</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros_like.html#numpy.zeros_like" title="View documentation for numpy.zeros_like"><span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span></a><span class="p">(</span><span class="n">values</span><span class="p">)</span>
<span class="k">if</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.isscalar.html#numpy.isscalar" title="View documentation for numpy.isscalar"><span class="n">np</span><span class="o">.</span><span class="n">isscalar</span></a><span class="p">(</span><span class="n">bottoms</span><span class="p">):</span>
<span class="n">bottoms</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ones_like.html#numpy.ones_like" title="View documentation for numpy.ones_like"><span class="n">np</span><span class="o">.</span><span class="n">ones_like</span></a><span class="p">(</span><span class="n">values</span><span class="p">)</span> <span class="o">*</span> <span class="n">bottoms</span>
<span class="n">values</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.r_.html#numpy.r_" title="View documentation for numpy.r_"><span class="n">np</span><span class="o">.</span><span class="n">r_</span></a><span class="p">[</span><span class="n">values</span><span class="p">,</span> <span class="n">values</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
<span class="n">bottoms</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.r_.html#numpy.r_" title="View documentation for numpy.r_"><span class="n">np</span><span class="o">.</span><span class="n">r_</span></a><span class="p">[</span><span class="n">bottoms</span><span class="p">,</span> <span class="n">bottoms</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
<span class="k">if</span> <span class="n">orientation</span> <span class="o">==</span> <span class="s1">'h'</span><span class="p">:</span>
<span class="k">return</span> <span class="n">ax</span><span class="o">.</span><span class="n">fill_betweenx</span><span class="p">(</span><span class="n">edges</span><span class="p">,</span> <span class="n">values</span><span class="p">,</span> <span class="n">bottoms</span><span class="p">,</span>
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">orientation</span> <span class="o">==</span> <span class="s1">'v'</span><span class="p">:</span>
<span class="k">return</span> <span class="n">ax</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">edges</span><span class="p">,</span> <span class="n">values</span><span class="p">,</span> <span class="n">bottoms</span><span class="p">,</span>
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span><span class="s2">"you should never be here"</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">stack_hist</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">stacked_data</span><span class="p">,</span> <span class="n">sty_cycle</span><span class="p">,</span> <span class="n">bottoms</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">hist_func</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">plot_func</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">plot_kwargs</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> ax : axes.Axes</span>
<span class="sd"> The axes to add artists too</span>
<span class="sd"> stacked_data : array or Mapping</span>
<span class="sd"> A (N, M) shaped array. The first dimension will be iterated over to</span>
<span class="sd"> compute histograms row-wise</span>
<span class="sd"> sty_cycle : Cycler or operable of dict</span>
<span class="sd"> Style to apply to each set</span>
<span class="sd"> bottoms : array, optional</span>
<span class="sd"> The initial positions of the bottoms, defaults to 0</span>
<span class="sd"> hist_func : callable, optional</span>
<span class="sd"> Must have signature `bin_vals, bin_edges = f(data)`.</span>
<span class="sd"> `bin_edges` expected to be one longer than `bin_vals`</span>
<span class="sd"> labels : list of str, optional</span>
<span class="sd"> The label for each set.</span>
<span class="sd"> If not given and stacked data is an array defaults to 'default set {n}'</span>
<span class="sd"> If stacked_data is a mapping, and labels is None, default to the keys</span>
<span class="sd"> (which may come out in a random order).</span>
<span class="sd"> If stacked_data is a mapping and labels is given then only</span>
<span class="sd"> the columns listed by be plotted.</span>
<span class="sd"> plot_func : callable, optional</span>
<span class="sd"> Function to call to draw the histogram must have signature:</span>
<span class="sd"> ret = plot_func(ax, edges, top, bottoms=bottoms,</span>
<span class="sd"> label=label, **kwargs)</span>
<span class="sd"> plot_kwargs : dict, optional</span>
<span class="sd"> Any extra kwargs to pass through to the plotting function. This</span>
<span class="sd"> will be the same for all calls to the plotting function and will</span>
<span class="sd"> over-ride the values in cycle.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> arts : dict</span>
<span class="sd"> Dictionary of artists keyed on their labels</span>
<span class="sd"> """</span>
<span class="c1"># deal with default binning function</span>
<span class="k">if</span> <span class="n">hist_func</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">hist_func</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html#numpy.histogram" title="View documentation for numpy.histogram"><span class="n">np</span><span class="o">.</span><span class="n">histogram</span></a>
<span class="c1"># deal with default plotting function</span>
<span class="k">if</span> <span class="n">plot_func</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">plot_func</span> <span class="o">=</span> <span class="n">filled_hist</span>
<span class="c1"># deal with default</span>
<span class="k">if</span> <span class="n">plot_kwargs</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">plot_kwargs</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">print</span><span class="p">(</span><span class="n">plot_kwargs</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">l_keys</span> <span class="o">=</span> <span class="n">stacked_data</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
<span class="n">label_data</span> <span class="o">=</span> <span class="bp">True</span>
<span class="k">if</span> <span class="n">labels</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">labels</span> <span class="o">=</span> <span class="n">l_keys</span>
<span class="k">except</span> <span class="ne">AttributeError</span><span class="p">:</span>
<span class="n">label_data</span> <span class="o">=</span> <span class="bp">False</span>
<span class="k">if</span> <span class="n">labels</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">labels</span> <span class="o">=</span> <span class="n">itertools</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="bp">None</span><span class="p">)</span>
<span class="k">if</span> <span class="n">label_data</span><span class="p">:</span>
<span class="n">loop_iter</span> <span class="o">=</span> <span class="nb">enumerate</span><span class="p">((</span><span class="n">stacked_data</span><span class="p">[</span><span class="n">lab</span><span class="p">],</span> <span class="n">lab</span><span class="p">,</span> <span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">lab</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span>
<span class="nb">zip</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">sty_cycle</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">loop_iter</span> <span class="o">=</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">stacked_data</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">sty_cycle</span><span class="p">))</span>
<span class="n">arts</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">sty</span><span class="p">)</span> <span class="ow">in</span> <span class="n">loop_iter</span><span class="p">:</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">label</span> <span class="o">=</span> <span class="s1">'dflt set {n}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="n">j</span><span class="p">)</span>
<span class="n">label</span> <span class="o">=</span> <span class="n">sty</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'label'</span><span class="p">,</span> <span class="n">label</span><span class="p">)</span>
<span class="n">vals</span><span class="p">,</span> <span class="n">edges</span> <span class="o">=</span> <span class="n">hist_func</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">if</span> <span class="n">bottoms</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">bottoms</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros_like.html#numpy.zeros_like" title="View documentation for numpy.zeros_like"><span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span></a><span class="p">(</span><span class="n">vals</span><span class="p">)</span>
<span class="n">top</span> <span class="o">=</span> <span class="n">bottoms</span> <span class="o">+</span> <span class="n">vals</span>
<span class="k">print</span><span class="p">(</span><span class="n">sty</span><span class="p">)</span>
<span class="n">sty</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">plot_kwargs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">sty</span><span class="p">)</span>
<span class="n">ret</span> <span class="o">=</span> <span class="n">plot_func</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">edges</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">bottoms</span><span class="o">=</span><span class="n">bottoms</span><span class="p">,</span>
<span class="n">label</span><span class="o">=</span><span class="n">label</span><span class="p">,</span> <span class="o">**</span><span class="n">sty</span><span class="p">)</span>
<span class="n">bottoms</span> <span class="o">=</span> <span class="n">top</span>
<span class="n">arts</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="n">ret</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="k">return</span> <span class="n">arts</span>
<span class="c1"># set up histogram function to fixed bins</span>
<span class="n">edges</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html#numpy.linspace" title="View documentation for numpy.linspace"><span class="n">np</span><span class="o">.</span><span class="n">linspace</span></a><span class="p">(</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="n">endpoint</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">hist_func</span> <span class="o">=</span> <span class="n">partial</span><span class="p">(</span><a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html#numpy.histogram" title="View documentation for numpy.histogram"><span class="n">np</span><span class="o">.</span><span class="n">histogram</span></a><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">edges</span><span class="p">)</span>
<span class="c1"># set up style cycles</span>
<span class="n">color_cycle</span> <span class="o">=</span> <span class="n">cycler</span><span class="p">(</span><span class="n">facecolor</span><span class="o">=</span><a href="../../api/matplotlib_configuration_api.html#matplotlib.rcParams" title="View documentation for matplotlib.pyplot.rcParams"><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span></a><span class="p">[</span><span class="s1">'axes.prop_cycle'</span><span class="p">][:</span><span class="mi">4</span><span class="p">])</span>
<span class="n">label_cycle</span> <span class="o">=</span> <span class="n">cycler</span><span class="p">(</span><span class="s1">'label'</span><span class="p">,</span> <span class="p">[</span><span class="s1">'set {n}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="n">n</span><span class="p">)</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">)])</span>
<span class="n">hatch_cycle</span> <span class="o">=</span> <span class="n">cycler</span><span class="p">(</span><span class="s1">'hatch'</span><span class="p">,</span> <span class="p">[</span><span class="s1">'/'</span><span class="p">,</span> <span class="s1">'*'</span><span class="p">,</span> <span class="s1">'+'</span><span class="p">,</span> <span class="s1">'|'</span><span class="p">])</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">stack_data</span> <span class="o">=</span> <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.randn.html#numpy.random.randn" title="View documentation for numpy.random.randn"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span></a><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">12250</span><span class="p">)</span>
<span class="n">dict_data</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">(</span><span class="nb">zip</span><span class="p">((</span><span class="n">c</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">label_cycle</span><span class="p">),</span> <span class="n">stack_data</span><span class="p">))</span>
</pre></div>
</div>
<p>Work with plain arrays</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</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="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mf">4.5</span><span class="p">),</span> <span class="n">tight_layout</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">arts</span> <span class="o">=</span> <span class="n">stack_hist</span><span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">stack_data</span><span class="p">,</span> <span class="n">color_cycle</span> <span class="o">+</span> <span class="n">label_cycle</span> <span class="o">+</span> <span class="n">hatch_cycle</span><span class="p">,</span>
<span class="n">hist_func</span><span class="o">=</span><span class="n">hist_func</span><span class="p">)</span>
<span class="n">arts</span> <span class="o">=</span> <span class="n">stack_hist</span><span class="p">(</span><span class="n">ax2</span><span class="p">,</span> <span class="n">stack_data</span><span class="p">,</span> <span class="n">color_cycle</span><span class="p">,</span>
<span class="n">hist_func</span><span class="o">=</span><span class="n">hist_func</span><span class="p">,</span>
<span class="n">plot_kwargs</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">edgecolor</span><span class="o">=</span><span class="s1">'w'</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'h'</span><span class="p">))</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'counts'</span><span class="p">)</span>
<span class="n">ax1</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">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'counts'</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'x'</span><span class="p">)</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_filled_step_001.png" class="align-center" src="../../_images/sphx_glr_filled_step_001.png" />
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-default"><div class="highlight"><pre><span></span><span class="p">{}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'/'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'/'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'*'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'*'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'+'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'+'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'|'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'|'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'edgecolor'</span><span class="p">:</span> <span class="s1">'w'</span><span class="p">,</span> <span class="s1">'orientation'</span><span class="p">:</span> <span class="s1">'h'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">,</span> <span class="s1">'edgecolor'</span><span class="p">:</span> <span class="s1">'w'</span><span class="p">,</span> <span class="s1">'orientation'</span><span class="p">:</span> <span class="s1">'h'</span><span class="p">}</span>
<span class="n">h</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">,</span> <span class="s1">'edgecolor'</span><span class="p">:</span> <span class="s1">'w'</span><span class="p">,</span> <span class="s1">'orientation'</span><span class="p">:</span> <span class="s1">'h'</span><span class="p">}</span>
<span class="n">h</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">,</span> <span class="s1">'edgecolor'</span><span class="p">:</span> <span class="s1">'w'</span><span class="p">,</span> <span class="s1">'orientation'</span><span class="p">:</span> <span class="s1">'h'</span><span class="p">}</span>
<span class="n">h</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">,</span> <span class="s1">'edgecolor'</span><span class="p">:</span> <span class="s1">'w'</span><span class="p">,</span> <span class="s1">'orientation'</span><span class="p">:</span> <span class="s1">'h'</span><span class="p">}</span>
<span class="n">h</span>
</pre></div>
</div>
<p>Work with labeled data</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</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="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mf">4.5</span><span class="p">),</span>
<span class="n">tight_layout</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">arts</span> <span class="o">=</span> <span class="n">stack_hist</span><span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">dict_data</span><span class="p">,</span> <span class="n">color_cycle</span> <span class="o">+</span> <span class="n">hatch_cycle</span><span class="p">,</span>
<span class="n">hist_func</span><span class="o">=</span><span class="n">hist_func</span><span class="p">)</span>
<span class="n">arts</span> <span class="o">=</span> <span class="n">stack_hist</span><span class="p">(</span><span class="n">ax2</span><span class="p">,</span> <span class="n">dict_data</span><span class="p">,</span> <span class="n">color_cycle</span> <span class="o">+</span> <span class="n">hatch_cycle</span><span class="p">,</span>
<span class="n">hist_func</span><span class="o">=</span><span class="n">hist_func</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">[</span><span class="s1">'set 0'</span><span class="p">,</span> <span class="s1">'set 3'</span><span class="p">])</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><a href="../../api/ticker_api.html#matplotlib.ticker.MaxNLocator" title="View documentation for matplotlib.ticker.MaxNLocator"><span class="n">mticker</span><span class="o">.</span><span class="n">MaxNLocator</span></a><span class="p">(</span><span class="mi">5</span><span class="p">))</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'counts'</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'x'</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'x'</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>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_filled_step_002.png" class="align-center" src="../../_images/sphx_glr_filled_step_002.png" />
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-default"><div class="highlight"><pre><span></span><span class="p">{}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'/'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#1f77b4'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'/'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'*'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#ff7f0e'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'*'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'+'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#2ca02c'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'+'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'|'</span><span class="p">}</span>
<span class="p">{</span><span class="s1">'facecolor'</span><span class="p">:</span> <span class="s1">'#d62728'</span><span class="p">,</span> <span class="s1">'hatch'</span><span class="p">:</span> <span class="s1">'|'</span><span class="p">}</span>
<span class="n">v</span>
<span class="p">{}</span>
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<span class="n">v</span>
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<span class="n">v</span>
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