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<li><a class="reference internal" href="#">Customized Colorbars Tutorial</a><ul>
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<li><a class="reference internal" href="#basic-continuous-colorbar">Basic continuous colorbar</a></li>
<li><a class="reference internal" href="#discrete-intervals-colorbar">Discrete intervals colorbar</a></li>
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<div class="sphx-glr-example-title section" id="customized-colorbars-tutorial">
<span id="sphx-glr-tutorials-colors-colorbar-only-py"></span><h1>Customized Colorbars Tutorial<a class="headerlink" href="#customized-colorbars-tutorial" title="Permalink to this headline">¶</a></h1>
<p>This tutorial shows how to build colorbars without an attached plot.</p>
<div class="section" id="customized-colorbars">
<h2>Customized Colorbars<a class="headerlink" href="#customized-colorbars" title="Permalink to this headline">¶</a></h2>
<p><a class="reference internal" href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColorbarBase</span></code></a> derives from
<a class="reference internal" href="../../api/cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-mod docutils literal notranslate"><span class="pre">ScalarMappable</span></code></a> and puts a colorbar in a specified axes,
so it has everything needed for a standalone colorbar. It can be used as is to
make a colorbar for a given colormap and does not need a mappable object like
an image. In this tutorial we will explore what can be done with standalone
colorbar.</p>
<div class="section" id="basic-continuous-colorbar">
<h3>Basic continuous colorbar<a class="headerlink" href="#basic-continuous-colorbar" title="Permalink to this headline">¶</a></h3>
<p>Set the colormap and norm to correspond to the data for which the colorbar
will be used. Then create the colorbar by calling
<a class="reference internal" href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColorbarBase</span></code></a> and specify axis, colormap, norm
and orientation as parameters. Here we create a basic continuous colorbar
with ticks and labels. More information on colorbar api can be found
<code class="xref py py-obj docutils literal notranslate"><span class="pre">here</span></code>.</p>
<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">matplotlib</span> <span class="kn">as</span> <span class="nn">mpl</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">cmap</span> <span class="o">=</span> <span class="n">mpl</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cool</span>
<span class="n">norm</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.colors.Normalize.html#matplotlib.colors.Normalize" title="View documentation for matplotlib.colors.Normalize"><span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">Normalize</span></a><span class="p">(</span><span class="n">vmin</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="n">cb1</span> <span class="o">=</span> <a href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="View documentation for matplotlib.colorbar.ColorbarBase"><span class="n">mpl</span><span class="o">.</span><span class="n">colorbar</span><span class="o">.</span><span class="n">ColorbarBase</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span>
<span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span>
<span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
<span class="n">cb1</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s1">'Some Units'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_colorbar_only_001.png" class="sphx-glr-single-img" src="../../_images/sphx_glr_colorbar_only_001.png" />
</div>
<div class="section" id="discrete-intervals-colorbar">
<h3>Discrete intervals colorbar<a class="headerlink" href="#discrete-intervals-colorbar" title="Permalink to this headline">¶</a></h3>
<p>The second example illustrates the use of a
<a class="reference internal" href="../../api/_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="matplotlib.colors.ListedColormap"><code class="xref py py-class docutils literal notranslate"><span class="pre">ListedColormap</span></code></a> which generates a colormap from a
set of listed colors, <code class="xref py py-func docutils literal notranslate"><span class="pre">colors.BoundaryNorm()</span></code> which generates a colormap
index based on discrete intervals and extended ends to show the "over" and
"under" value colors. Over and under are used to display data outside of the
normalized [0,1] range. Here we pass colors as gray shades as a string
encoding a float in the 0-1 range.</p>
<p>If a <a class="reference internal" href="../../api/_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="matplotlib.colors.ListedColormap"><code class="xref py py-class docutils literal notranslate"><span class="pre">ListedColormap</span></code></a> is used, the length of the
bounds array must be one greater than the length of the color list. The
bounds must be monotonically increasing.</p>
<p>This time we pass some more arguments in addition to previous arguments to
<a class="reference internal" href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColorbarBase</span></code></a>. For the out-of-range values to
display on the colorbar, we have to use the <em>extend</em> keyword argument. To use
<em>extend</em>, you must specify two extra boundaries. Finally spacing argument
ensures that intervals are shown on colorbar proportionally.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></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">cmap</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="View documentation for matplotlib.colors.ListedColormap"><span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">ListedColormap</span></a><span class="p">([</span><span class="s1">'red'</span><span class="p">,</span> <span class="s1">'green'</span><span class="p">,</span> <span class="s1">'blue'</span><span class="p">,</span> <span class="s1">'cyan'</span><span class="p">])</span>
<span class="n">cmap</span><span class="o">.</span><span class="n">set_over</span><span class="p">(</span><span class="s1">'0.25'</span><span class="p">)</span>
<span class="n">cmap</span><span class="o">.</span><span class="n">set_under</span><span class="p">(</span><span class="s1">'0.75'</span><span class="p">)</span>
<span class="n">bounds</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</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">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">]</span>
<span class="n">norm</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.colors.BoundaryNorm.html#matplotlib.colors.BoundaryNorm" title="View documentation for matplotlib.colors.BoundaryNorm"><span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">BoundaryNorm</span></a><span class="p">(</span><span class="n">bounds</span><span class="p">,</span> <span class="n">cmap</span><span class="o">.</span><span class="n">N</span><span class="p">)</span>
<span class="n">cb2</span> <span class="o">=</span> <a href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="View documentation for matplotlib.colorbar.ColorbarBase"><span class="n">mpl</span><span class="o">.</span><span class="n">colorbar</span><span class="o">.</span><span class="n">ColorbarBase</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span>
<span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span>
<span class="n">boundaries</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">bounds</span> <span class="o">+</span> <span class="p">[</span><span class="mi">13</span><span class="p">],</span>
<span class="n">extend</span><span class="o">=</span><span class="s1">'both'</span><span class="p">,</span>
<span class="n">ticks</span><span class="o">=</span><span class="n">bounds</span><span class="p">,</span>
<span class="n">spacing</span><span class="o">=</span><span class="s1">'proportional'</span><span class="p">,</span>
<span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
<span class="n">cb2</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s1">'Discrete intervals, some other units'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_colorbar_only_002.png" class="sphx-glr-single-img" src="../../_images/sphx_glr_colorbar_only_002.png" />
</div>
<div class="section" id="colorbar-with-custom-extension-lengths">
<h3>Colorbar with custom extension lengths<a class="headerlink" href="#colorbar-with-custom-extension-lengths" title="Permalink to this headline">¶</a></h3>
<p>Here we illustrate the use of custom length colorbar extensions, used on a
colorbar with discrete intervals. To make the length of each extension same
as the length of the interior colors, use <code class="docutils literal notranslate"><span class="pre">extendfrac='auto'</span></code>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></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">cmap</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap" title="View documentation for matplotlib.colors.ListedColormap"><span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">ListedColormap</span></a><span class="p">([</span><span class="s1">'royalblue'</span><span class="p">,</span> <span class="s1">'cyan'</span><span class="p">,</span>
<span class="s1">'yellow'</span><span class="p">,</span> <span class="s1">'orange'</span><span class="p">])</span>
<span class="n">cmap</span><span class="o">.</span><span class="n">set_over</span><span class="p">(</span><span class="s1">'red'</span><span class="p">)</span>
<span class="n">cmap</span><span class="o">.</span><span class="n">set_under</span><span class="p">(</span><span class="s1">'blue'</span><span class="p">)</span>
<span class="n">bounds</span> <span class="o">=</span> <span class="p">[</span><span class="o">-</span><span class="mf">1.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]</span>
<span class="n">norm</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.colors.BoundaryNorm.html#matplotlib.colors.BoundaryNorm" title="View documentation for matplotlib.colors.BoundaryNorm"><span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">BoundaryNorm</span></a><span class="p">(</span><span class="n">bounds</span><span class="p">,</span> <span class="n">cmap</span><span class="o">.</span><span class="n">N</span><span class="p">)</span>
<span class="n">cb3</span> <span class="o">=</span> <a href="../../api/colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="View documentation for matplotlib.colorbar.ColorbarBase"><span class="n">mpl</span><span class="o">.</span><span class="n">colorbar</span><span class="o">.</span><span class="n">ColorbarBase</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span>
<span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span>
<span class="n">boundaries</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">10</span><span class="p">]</span> <span class="o">+</span> <span class="n">bounds</span> <span class="o">+</span> <span class="p">[</span><span class="mi">10</span><span class="p">],</span>
<span class="n">extend</span><span class="o">=</span><span class="s1">'both'</span><span class="p">,</span>
<span class="n">extendfrac</span><span class="o">=</span><span class="s1">'auto'</span><span class="p">,</span>
<span class="n">ticks</span><span class="o">=</span><span class="n">bounds</span><span class="p">,</span>
<span class="n">spacing</span><span class="o">=</span><span class="s1">'uniform'</span><span class="p">,</span>
<span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
<span class="n">cb3</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s1">'Custom extension lengths, some other units'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
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