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<div class="section" id="colorbar">
<h1>colorbar<a class="headerlink" href="#colorbar" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-matplotlib.colorbar">
<span id="matplotlib-colorbar"></span><h2><a class="reference internal" href="#module-matplotlib.colorbar" title="matplotlib.colorbar"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.colorbar</span></code></a><a class="headerlink" href="#module-matplotlib.colorbar" title="Permalink to this headline">¶</a></h2>
<p>Colorbar toolkit with two classes and a function:</p>
<blockquote>
<div><dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal"><span class="pre">ColorbarBase</span></code></a></dt>
<dd>the base class with full colorbar drawing functionality.
It can be used as-is to make a colorbar for a given colormap;
a mappable object (e.g., image) is not needed.</dd>
<dt><a class="reference internal" href="#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><code class="xref py py-class docutils literal"><span class="pre">Colorbar</span></code></a></dt>
<dd>the derived class for use with images or contour plots.</dd>
<dt><a class="reference internal" href="#matplotlib.colorbar.make_axes" title="matplotlib.colorbar.make_axes"><code class="xref py py-func docutils literal"><span class="pre">make_axes()</span></code></a></dt>
<dd>a function for resizing an axes and adding a second axes
suitable for a colorbar</dd>
</dl>
</div></blockquote>
<p>The <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar" title="matplotlib.figure.Figure.colorbar"><code class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></code></a> method uses <a class="reference internal" href="#matplotlib.colorbar.make_axes" title="matplotlib.colorbar.make_axes"><code class="xref py py-func docutils literal"><span class="pre">make_axes()</span></code></a>
and <a class="reference internal" href="#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><code class="xref py py-class docutils literal"><span class="pre">Colorbar</span></code></a>; the <a class="reference internal" href="_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><code class="xref py py-func docutils literal"><span class="pre">colorbar()</span></code></a> function
is a thin wrapper over <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar" title="matplotlib.figure.Figure.colorbar"><code class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></code></a>.</p>
<dl class="class">
<dt id="matplotlib.colorbar.Colorbar">
<em class="property">class </em><code class="descclassname">matplotlib.colorbar.</code><code class="descname">Colorbar</code><span class="sig-paren">(</span><em>ax</em>, <em>mappable</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.colorbar.ColorbarBase</span></code></a></p>
<p>This class connects a <a class="reference internal" href="#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal"><span class="pre">ColorbarBase</span></code></a> to a
<a class="reference internal" href="cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal"><span class="pre">ScalarMappable</span></code></a> such as a
<a class="reference internal" href="image_api.html#matplotlib.image.AxesImage" title="matplotlib.image.AxesImage"><code class="xref py py-class docutils literal"><span class="pre">AxesImage</span></code></a> generated via
<a class="reference internal" href="_as_gen/matplotlib.axes.Axes.imshow.html#matplotlib.axes.Axes.imshow" title="matplotlib.axes.Axes.imshow"><code class="xref py py-meth docutils literal"><span class="pre">imshow()</span></code></a>.</p>
<p>It is not intended to be instantiated directly; instead,
use <a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar" title="matplotlib.figure.Figure.colorbar"><code class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></code></a> or
<a class="reference internal" href="_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><code class="xref py py-func docutils literal"><span class="pre">colorbar()</span></code></a> to make your colorbar.</p>
<dl class="method">
<dt id="matplotlib.colorbar.Colorbar.add_lines">
<code class="descname">add_lines</code><span class="sig-paren">(</span><em>CS</em>, <em>erase=True</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar.add_lines" title="Permalink to this definition">¶</a></dt>
<dd><p>Add the lines from a non-filled
<a class="reference internal" href="contour_api.html#matplotlib.contour.ContourSet" title="matplotlib.contour.ContourSet"><code class="xref py py-class docutils literal"><span class="pre">ContourSet</span></code></a> to the colorbar.</p>
<p>Set <em>erase</em> to False if these lines should be added to
any pre-existing lines.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.Colorbar.on_mappable_changed">
<code class="descname">on_mappable_changed</code><span class="sig-paren">(</span><em>mappable</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar.on_mappable_changed" title="Permalink to this definition">¶</a></dt>
<dd><p>Updates this colorbar to match the mappable’s properties.</p>
<p>Typically this is automatically registered as an event handler
by <a class="reference internal" href="#matplotlib.colorbar.colorbar_factory" title="matplotlib.colorbar.colorbar_factory"><code class="xref py py-func docutils literal"><span class="pre">colorbar_factory()</span></code></a> and should not be called manually.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.Colorbar.remove">
<code class="descname">remove</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar.remove" title="Permalink to this definition">¶</a></dt>
<dd><p>Remove this colorbar from the figure. If the colorbar was created with
<code class="docutils literal"><span class="pre">use_gridspec=True</span></code> then restore the gridspec to its previous value.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.Colorbar.update_bruteforce">
<code class="descname">update_bruteforce</code><span class="sig-paren">(</span><em>mappable</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar.update_bruteforce" title="Permalink to this definition">¶</a></dt>
<dd><p>Destroy and rebuild the colorbar. This is
intended to become obsolete, and will probably be
deprecated and then removed. It is not called when
the pyplot.colorbar function or the Figure.colorbar
method are used to create the colorbar.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.Colorbar.update_normal">
<code class="descname">update_normal</code><span class="sig-paren">(</span><em>mappable</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.Colorbar.update_normal" title="Permalink to this definition">¶</a></dt>
<dd><p>update solid, lines, etc. Unlike update_bruteforce, it does
not clear the axes. This is meant to be called when the image
or contour plot to which this colorbar belongs is changed.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.colorbar.ColorbarBase">
<em class="property">class </em><code class="descclassname">matplotlib.colorbar.</code><code class="descname">ColorbarBase</code><span class="sig-paren">(</span><em>ax</em>, <em>cmap=None</em>, <em>norm=None</em>, <em>alpha=None</em>, <em>values=None</em>, <em>boundaries=None</em>, <em>orientation='vertical'</em>, <em>ticklocation='auto'</em>, <em>extend='neither'</em>, <em>spacing='uniform'</em>, <em>ticks=None</em>, <em>format=None</em>, <em>drawedges=False</em>, <em>filled=True</em>, <em>extendfrac=None</em>, <em>extendrect=False</em>, <em>label=''</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.cm.ScalarMappable</span></code></a></p>
<p>Draw a colorbar in an existing axes.</p>
<p>This is a base class for the <a class="reference internal" href="#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><code class="xref py py-class docutils literal"><span class="pre">Colorbar</span></code></a> class, which is the
basis for the <a class="reference internal" href="_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><code class="xref py py-func docutils literal"><span class="pre">colorbar()</span></code></a> function and the
<a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar" title="matplotlib.figure.Figure.colorbar"><code class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></code></a> method, which are the
usual ways of creating a colorbar.</p>
<p>It is also useful by itself for showing a colormap. If the <em>cmap</em>
kwarg is given but <em>boundaries</em> and <em>values</em> are left as None,
then the colormap will be displayed on a 0-1 scale. To show the
under- and over-value colors, specify the <em>norm</em> as:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">colors</span><span class="o">.</span><span class="n">Normalize</span><span class="p">(</span><span class="n">clip</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
</pre></div>
</div>
<p>To show the colors versus index instead of on the 0-1 scale,
use:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">norm</span><span class="o">=</span><span class="n">colors</span><span class="o">.</span><span class="n">NoNorm</span><span class="o">.</span>
</pre></div>
</div>
<p>Useful attributes:</p>
<blockquote>
<div><dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.colorbar.ColorbarBase.ax" title="matplotlib.colorbar.ColorbarBase.ax"><code class="xref py py-attr docutils literal"><span class="pre">ax</span></code></a></dt>
<dd>the Axes instance in which the colorbar is drawn</dd>
<dt><code class="xref py py-attr docutils literal"><span class="pre">lines</span></code></dt>
<dd>a list of LineCollection if lines were drawn, otherwise
an empty list</dd>
<dt><code class="xref py py-attr docutils literal"><span class="pre">dividers</span></code></dt>
<dd>a LineCollection if <em>drawedges</em> is True, otherwise None</dd>
</dl>
</div></blockquote>
<p>Useful public methods are <a class="reference internal" href="#matplotlib.colorbar.ColorbarBase.set_label" title="matplotlib.colorbar.ColorbarBase.set_label"><code class="xref py py-meth docutils literal"><span class="pre">set_label()</span></code></a> and <a class="reference internal" href="#matplotlib.colorbar.ColorbarBase.add_lines" title="matplotlib.colorbar.ColorbarBase.add_lines"><code class="xref py py-meth docutils literal"><span class="pre">add_lines()</span></code></a>.</p>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.add_lines">
<code class="descname">add_lines</code><span class="sig-paren">(</span><em>levels</em>, <em>colors</em>, <em>linewidths</em>, <em>erase=True</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.add_lines" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw lines on the colorbar.</p>
<p><em>colors</em> and <em>linewidths</em> must be scalars or
sequences the same length as <em>levels</em>.</p>
<p>Set <em>erase</em> to False to add lines without first
removing any previously added lines.</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.colorbar.ColorbarBase.ax">
<code class="descname">ax</code><em class="property"> = None</em><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.ax" title="Permalink to this definition">¶</a></dt>
<dd><p>The axes that this colorbar lives in.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.config_axis">
<code class="descname">config_axis</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.config_axis" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.draw_all">
<code class="descname">draw_all</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.draw_all" title="Permalink to this definition">¶</a></dt>
<dd><p>Calculate any free parameters based on the current cmap and norm,
and do all the drawing.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.get_ticks">
<code class="descname">get_ticks</code><span class="sig-paren">(</span><em>minor=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.get_ticks" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the x ticks as a list of locations</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.colorbar.ColorbarBase.n_rasterize">
<code class="descname">n_rasterize</code><em class="property"> = 50</em><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.n_rasterize" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.remove">
<code class="descname">remove</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.remove" title="Permalink to this definition">¶</a></dt>
<dd><p>Remove this colorbar from the figure</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.set_alpha">
<code class="descname">set_alpha</code><span class="sig-paren">(</span><em>alpha</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.set_alpha" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.set_label">
<code class="descname">set_label</code><span class="sig-paren">(</span><em>label</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.set_label" title="Permalink to this definition">¶</a></dt>
<dd><p>Label the long axis of the colorbar</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.set_ticklabels">
<code class="descname">set_ticklabels</code><span class="sig-paren">(</span><em>ticklabels</em>, <em>update_ticks=True</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.set_ticklabels" title="Permalink to this definition">¶</a></dt>
<dd><p>set tick labels. Tick labels are updated immediately unless
update_ticks is <em>False</em>. To manually update the ticks, call
<em>update_ticks</em> method explicitly.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.set_ticks">
<code class="descname">set_ticks</code><span class="sig-paren">(</span><em>ticks</em>, <em>update_ticks=True</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.set_ticks" title="Permalink to this definition">¶</a></dt>
<dd><p>Set tick locations.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ticks</strong> : {None, sequence, <a class="reference internal" href="ticker_api.html#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal"><span class="pre">Locator</span></code></a> instance}</p>
<blockquote>
<div><p>If None, a default Locator will be used.</p>
</div></blockquote>
<p><strong>update_ticks</strong> : {True, False}, optional</p>
<blockquote class="last">
<div><p>If True, tick locations are updated immediately. If False,
use <a class="reference internal" href="#matplotlib.colorbar.ColorbarBase.update_ticks" title="matplotlib.colorbar.ColorbarBase.update_ticks"><code class="xref py py-meth docutils literal"><span class="pre">update_ticks()</span></code></a> to manually update the ticks.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.colorbar.ColorbarBase.update_ticks">
<code class="descname">update_ticks</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarBase.update_ticks" title="Permalink to this definition">¶</a></dt>
<dd><p>Force the update of the ticks and ticklabels. This must be
called whenever the tick locator and/or tick formatter changes.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.colorbar.ColorbarPatch">
<em class="property">class </em><code class="descclassname">matplotlib.colorbar.</code><code class="descname">ColorbarPatch</code><span class="sig-paren">(</span><em>ax</em>, <em>mappable</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.ColorbarPatch" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.colorbar.Colorbar</span></code></a></p>
<p>A Colorbar which is created using <a class="reference internal" href="_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><code class="xref py py-class docutils literal"><span class="pre">Patch</span></code></a>
rather than the default <code class="xref py py-func docutils literal"><span class="pre">pcolor()</span></code>.</p>
<p>It uses a list of Patch instances instead of a
<a class="reference internal" href="collections_api.html#matplotlib.collections.PatchCollection" title="matplotlib.collections.PatchCollection"><code class="xref py py-class docutils literal"><span class="pre">PatchCollection</span></code></a> because the
latter does not allow the hatch pattern to vary among the
members of the collection.</p>
</dd></dl>
<dl class="function">
<dt id="matplotlib.colorbar.colorbar_factory">
<code class="descclassname">matplotlib.colorbar.</code><code class="descname">colorbar_factory</code><span class="sig-paren">(</span><em>cax</em>, <em>mappable</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.colorbar_factory" title="Permalink to this definition">¶</a></dt>
<dd><p>Creates a colorbar on the given axes for the given mappable.</p>
<p>Typically, for automatic colorbar placement given only a mappable use
<a class="reference internal" href="_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar" title="matplotlib.figure.Figure.colorbar"><code class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></code></a>.</p>
</dd></dl>
<dl class="function">
<dt id="matplotlib.colorbar.make_axes">
<code class="descclassname">matplotlib.colorbar.</code><code class="descname">make_axes</code><span class="sig-paren">(</span><em>parents</em>, <em>location=None</em>, <em>orientation=None</em>, <em>fraction=0.15</em>, <em>shrink=1.0</em>, <em>aspect=20</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.make_axes" title="Permalink to this definition">¶</a></dt>
<dd><p>Resize and reposition parent axes, and return a child
axes suitable for a colorbar.</p>
<p>Keyword arguments may include the following (with defaults):</p>
<blockquote>
<div><dl class="docutils">
<dt>location <span class="classifier-delimiter">:</span> <span class="classifier">[None|’left’|’right’|’top’|’bottom’]</span></dt>
<dd>The position, relative to <strong>parents</strong>, where the colorbar axes
should be created. If None, the value will either come from the
given <code class="docutils literal"><span class="pre">orientation</span></code>, else it will default to ‘right’.</dd>
<dt>orientation <span class="classifier-delimiter">:</span> <span class="classifier">[None|’vertical’|’horizontal’]</span></dt>
<dd>The orientation of the colorbar. Typically, this keyword shouldn’t
be used, as it can be derived from the <code class="docutils literal"><span class="pre">location</span></code> keyword.</dd>
</dl>
</div></blockquote>
<table border="1" class="docutils">
<colgroup>
<col width="18%" />
<col width="82%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Property</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td><em>orientation</em></td>
<td>vertical or horizontal</td>
</tr>
<tr class="row-odd"><td><em>fraction</em></td>
<td>0.15; fraction of original axes to use for colorbar</td>
</tr>
<tr class="row-even"><td><em>pad</em></td>
<td>0.05 if vertical, 0.15 if horizontal; fraction
of original axes between colorbar and new image axes</td>
</tr>
<tr class="row-odd"><td><em>shrink</em></td>
<td>1.0; fraction by which to multiply the size of the colorbar</td>
</tr>
<tr class="row-even"><td><em>aspect</em></td>
<td>20; ratio of long to short dimensions</td>
</tr>
<tr class="row-odd"><td><em>anchor</em></td>
<td>(0.0, 0.5) if vertical; (0.5, 1.0) if horizontal;
the anchor point of the colorbar axes</td>
</tr>
<tr class="row-even"><td><em>panchor</em></td>
<td>(1.0, 0.5) if vertical; (0.5, 0.0) if horizontal;
the anchor point of the colorbar parent axes. If
False, the parent axes’ anchor will be unchanged</td>
</tr>
</tbody>
</table>
<p>Returns (cax, kw), the child axes and the reduced kw dictionary to be
passed when creating the colorbar instance.</p>
</dd></dl>
<dl class="function">
<dt id="matplotlib.colorbar.make_axes_gridspec">
<code class="descclassname">matplotlib.colorbar.</code><code class="descname">make_axes_gridspec</code><span class="sig-paren">(</span><em>parent</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.colorbar.make_axes_gridspec" title="Permalink to this definition">¶</a></dt>
<dd><p>Resize and reposition a parent axes, and return a child axes
suitable for a colorbar. This function is similar to
make_axes. Prmary differences are</p>
<blockquote>
<div><ul class="simple">
<li><em>make_axes_gridspec</em> only handles the <em>orientation</em> keyword
and cannot handle the “location” keyword.</li>
<li><em>make_axes_gridspec</em> should only be used with a subplot parent.</li>
<li><dl class="first docutils">
<dt><em>make_axes</em> creates an instance of Axes. <em>make_axes_gridspec</em></dt>
<dd>creates an instance of Subplot.</dd>
</dl>
</li>
<li><dl class="first docutils">
<dt><em>make_axes</em> updates the position of the</dt>
<dd>parent. <em>make_axes_gridspec</em> replaces the grid_spec attribute
of the parent with a new one.</dd>
</dl>
</li>
</ul>
</div></blockquote>
<p>While this function is meant to be compatible with <em>make_axes</em>,
there could be some minor differences.</p>
<p>Keyword arguments may include the following (with defaults):</p>
<blockquote>
<div><dl class="docutils">
<dt><em>orientation</em></dt>
<dd>‘vertical’ or ‘horizontal’</dd>
</dl>
</div></blockquote>
<table border="1" class="docutils">
<colgroup>
<col width="18%" />
<col width="82%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Property</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td><em>orientation</em></td>
<td>vertical or horizontal</td>
</tr>
<tr class="row-odd"><td><em>fraction</em></td>
<td>0.15; fraction of original axes to use for colorbar</td>
</tr>
<tr class="row-even"><td><em>pad</em></td>
<td>0.05 if vertical, 0.15 if horizontal; fraction
of original axes between colorbar and new image axes</td>
</tr>
<tr class="row-odd"><td><em>shrink</em></td>
<td>1.0; fraction by which to multiply the size of the colorbar</td>
</tr>
<tr class="row-even"><td><em>aspect</em></td>
<td>20; ratio of long to short dimensions</td>
</tr>
<tr class="row-odd"><td><em>anchor</em></td>
<td>(0.0, 0.5) if vertical; (0.5, 1.0) if horizontal;
the anchor point of the colorbar axes</td>
</tr>
<tr class="row-even"><td><em>panchor</em></td>
<td>(1.0, 0.5) if vertical; (0.5, 0.0) if horizontal;
the anchor point of the colorbar parent axes. If
False, the parent axes’ anchor will be unchanged</td>
</tr>
</tbody>
</table>
<p>All but the first of these are stripped from the input kw set.</p>
<p>Returns (cax, kw), the child axes and the reduced kw dictionary to be
passed when creating the colorbar instance.</p>
</dd></dl>
</div>
</div>
</div>
</div>
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