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<div class="section" id="figure">
<h1>figure<a class="headerlink" href="#figure" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-matplotlib.figure">
<span id="matplotlib-figure"></span><h2><a class="reference internal" href="#module-matplotlib.figure" title="matplotlib.figure"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.figure</span></code></a><a class="headerlink" href="#module-matplotlib.figure" title="Permalink to this headline">¶</a></h2>
<p>The figure module provides the top-level
<a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal"><span class="pre">Artist</span></code></a>, the <a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal"><span class="pre">Figure</span></code></a>, which
contains all the plot elements. The following classes are defined</p>
<dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.figure.SubplotParams" title="matplotlib.figure.SubplotParams"><code class="xref py py-class docutils literal"><span class="pre">SubplotParams</span></code></a></dt>
<dd>control the default spacing of the subplots</dd>
<dt><a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal"><span class="pre">Figure</span></code></a></dt>
<dd>top level container for all plot elements</dd>
</dl>
<dl class="class">
<dt id="matplotlib.figure.AxesStack">
<em class="property">class </em><code class="descclassname">matplotlib.figure.</code><code class="descname">AxesStack</code><a class="headerlink" href="#matplotlib.figure.AxesStack" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="cbook_api.html#matplotlib.cbook.Stack" title="matplotlib.cbook.Stack"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.cbook.Stack</span></code></a></p>
<p>Specialization of the Stack to handle all tracking of Axes in a Figure.
This stack stores <code class="docutils literal"><span class="pre">key,</span> <span class="pre">(ind,</span> <span class="pre">axes)</span></code> pairs, where:</p>
<blockquote>
<div><ul class="simple">
<li><strong>key</strong> should be a hash of the args and kwargs
used in generating the Axes.</li>
<li><strong>ind</strong> is a serial number for tracking the order
in which axes were added.</li>
</ul>
</div></blockquote>
<p>The AxesStack is a callable, where <code class="docutils literal"><span class="pre">ax_stack()</span></code> returns
the current axes. Alternatively the <a class="reference internal" href="#matplotlib.figure.AxesStack.current_key_axes" title="matplotlib.figure.AxesStack.current_key_axes"><code class="xref py py-meth docutils literal"><span class="pre">current_key_axes()</span></code></a> will
return the current key and associated axes.</p>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.add">
<code class="descname">add</code><span class="sig-paren">(</span><em>key</em>, <em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.add" title="Permalink to this definition">¶</a></dt>
<dd><p>Add Axes <em>a</em>, with key <em>key</em>, to the stack, and return the stack.</p>
<p>If <em>a</em> is already on the stack, don’t add it again, but
return <em>None</em>.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.as_list">
<code class="descname">as_list</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.as_list" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a list of the Axes instances that have been added to the figure</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.bubble">
<code class="descname">bubble</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.bubble" title="Permalink to this definition">¶</a></dt>
<dd><p>Move the given axes, which must already exist in the
stack, to the top.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.current_key_axes">
<code class="descname">current_key_axes</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.current_key_axes" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a tuple of <code class="docutils literal"><span class="pre">(key,</span> <span class="pre">axes)</span></code> for the active axes.</p>
<p>If no axes exists on the stack, then returns <code class="docutils literal"><span class="pre">(None,</span> <span class="pre">None)</span></code>.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.get">
<code class="descname">get</code><span class="sig-paren">(</span><em>key</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.get" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the Axes instance that was added with <em>key</em>.
If it is not present, return None.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.AxesStack.remove">
<code class="descname">remove</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.AxesStack.remove" title="Permalink to this definition">¶</a></dt>
<dd><p>Remove the axes from the stack.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.figure.Figure">
<em class="property">class </em><code class="descclassname">matplotlib.figure.</code><code class="descname">Figure</code><span class="sig-paren">(</span><em>figsize=None</em>, <em>dpi=None</em>, <em>facecolor=None</em>, <em>edgecolor=None</em>, <em>linewidth=0.0</em>, <em>frameon=None</em>, <em>subplotpars=None</em>, <em>tight_layout=None</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.artist.Artist</span></code></a></p>
<p>The Figure instance supports callbacks through a <em>callbacks</em>
attribute which is a <a class="reference internal" href="cbook_api.html#matplotlib.cbook.CallbackRegistry" title="matplotlib.cbook.CallbackRegistry"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.cbook.CallbackRegistry</span></code></a>
instance. The events you can connect to are ‘dpi_changed’, and
the callback will be called with <code class="docutils literal"><span class="pre">func(fig)</span></code> where fig is the
<a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal"><span class="pre">Figure</span></code></a> instance.</p>
<dl class="docutils">
<dt><em>patch</em></dt>
<dd>The figure patch is drawn by a
<a class="reference internal" href="patches_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.patches.Rectangle</span></code></a> instance</dd>
<dt><em>suppressComposite</em></dt>
<dd>For multiple figure images, the figure will make composite
images depending on the renderer option_image_nocomposite
function. If suppressComposite is True|False, this will
override the renderer.</dd>
<dt><em>figsize</em></dt>
<dd>w,h tuple in inches</dd>
<dt><em>dpi</em></dt>
<dd>Dots per inch</dd>
<dt><em>facecolor</em></dt>
<dd>The figure patch facecolor; defaults to rc <code class="docutils literal"><span class="pre">figure.facecolor</span></code></dd>
<dt><em>edgecolor</em></dt>
<dd>The figure patch edge color; defaults to rc <code class="docutils literal"><span class="pre">figure.edgecolor</span></code></dd>
<dt><em>linewidth</em></dt>
<dd>The figure patch edge linewidth; the default linewidth of the frame</dd>
<dt><em>frameon</em></dt>
<dd>If <em>False</em>, suppress drawing the figure frame</dd>
<dt><em>subplotpars</em></dt>
<dd>A <a class="reference internal" href="#matplotlib.figure.SubplotParams" title="matplotlib.figure.SubplotParams"><code class="xref py py-class docutils literal"><span class="pre">SubplotParams</span></code></a> instance, defaults to rc</dd>
<dt><em>tight_layout</em></dt>
<dd>If <em>False</em> use <em>subplotpars</em>; if <em>True</em> adjust subplot
parameters using <a class="reference internal" href="#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout"><code class="xref py py-meth docutils literal"><span class="pre">tight_layout()</span></code></a> with default padding.
When providing a dict containing the keys <code class="xref py py-obj docutils literal"><span class="pre">pad</span></code>, <code class="xref py py-obj docutils literal"><span class="pre">w_pad</span></code>, <code class="xref py py-obj docutils literal"><span class="pre">h_pad</span></code>
and <code class="xref py py-obj docutils literal"><span class="pre">rect</span></code>, the default <a class="reference internal" href="#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout"><code class="xref py py-meth docutils literal"><span class="pre">tight_layout()</span></code></a> paddings will be
overridden.
Defaults to rc <code class="docutils literal"><span class="pre">figure.autolayout</span></code>.</dd>
</dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.add_axes">
<code class="descname">add_axes</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.add_axes" title="Permalink to this definition">¶</a></dt>
<dd><p>Add an axes at position <em>rect</em> [<em>left</em>, <em>bottom</em>, <em>width</em>,
<em>height</em>] where all quantities are in fractions of figure
width and height. kwargs are legal
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> kwargs plus <em>projection</em> which
sets the projection type of the axes. (For backward
compatibility, <code class="docutils literal"><span class="pre">polar=True</span></code> may also be provided, which is
equivalent to <code class="docutils literal"><span class="pre">projection='polar'</span></code>). Valid values for
<em>projection</em> are: [u’aitoff’, u’hammer’, u’lambert’, u’mollweide’, u’polar’, u’rectilinear’]. Some of these
projections support additional kwargs, which may be provided
to <a class="reference internal" href="#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal"><span class="pre">add_axes()</span></code></a>. Typical usage:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">rect</span> <span class="o">=</span> <span class="n">l</span><span class="p">,</span><span class="n">b</span><span class="p">,</span><span class="n">w</span><span class="p">,</span><span class="n">h</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">axisbg</span><span class="o">=</span><span class="s">'g'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">,</span> <span class="n">polar</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s">'polar'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">ax</span><span class="p">)</span>
</pre></div>
</div>
<p>If the figure already has an axes with the same parameters,
then it will simply make that axes current and return it. If
you do not want this behavior, e.g., you want to force the
creation of a new Axes, you must use a unique set of args and
kwargs. The axes <code class="xref py py-attr docutils literal"><span class="pre">label</span></code>
attribute has been exposed for this purpose. e.g., if you want
two axes that are otherwise identical to be added to the
figure, make sure you give them unique labels:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'axes1'</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">rect</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'axes2'</span><span class="p">)</span>
</pre></div>
</div>
<p>In rare circumstances, add_axes may be called with a single
argument, an Axes instance already created in the present
figure but not in the figure’s list of axes. For example,
if an axes has been removed with <a class="reference internal" href="#matplotlib.figure.Figure.delaxes" title="matplotlib.figure.Figure.delaxes"><code class="xref py py-meth docutils literal"><span class="pre">delaxes()</span></code></a>, it can
be restored with:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">(</span><span class="n">ax</span><span class="p">)</span>
</pre></div>
</div>
<p>In all cases, the <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> instance
will be returned.</p>
<p>In addition to <em>projection</em>, the following kwargs are supported:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="37%" />
<col width="63%" />
</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><code class="xref py py-meth docutils literal"><span class="pre">adjustable</span></code></td>
<td>[ ‘box’ | ‘datalim’ | ‘box-forced’]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_agg_filter" title="matplotlib.artist.Artist.set_agg_filter"><code class="xref py py-meth docutils literal"><span class="pre">agg_filter</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_alpha" title="matplotlib.artist.Artist.set_alpha"><code class="xref py py-meth docutils literal"><span class="pre">alpha</span></code></a></td>
<td>float (0.0 transparent through 1.0 opaque)</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">anchor</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_animated" title="matplotlib.artist.Artist.set_animated"><code class="xref py py-meth docutils literal"><span class="pre">animated</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">aspect</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscale_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscalex_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscaley_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_axes" title="matplotlib.artist.Artist.set_axes"><code class="xref py py-meth docutils literal"><span class="pre">axes</span></code></a></td>
<td>an <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">axes_locator</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">axis_bgcolor</span></code></td>
<td>any matplotlib color - see <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colors" title="matplotlib.pyplot.colors"><code class="xref py py-func docutils literal"><span class="pre">colors()</span></code></a></td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">axisbelow</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_box" title="matplotlib.artist.Artist.set_clip_box"><code class="xref py py-meth docutils literal"><span class="pre">clip_box</span></code></a></td>
<td>a <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.transforms.Bbox</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_on" title="matplotlib.artist.Artist.set_clip_on"><code class="xref py py-meth docutils literal"><span class="pre">clip_on</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_path" title="matplotlib.artist.Artist.set_clip_path"><code class="xref py py-meth docutils literal"><span class="pre">clip_path</span></code></a></td>
<td>[ (<a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal"><span class="pre">Path</span></code></a>, <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal"><span class="pre">Transform</span></code></a>) | <a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><code class="xref py py-class docutils literal"><span class="pre">Patch</span></code></a> | None ]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">color_cycle</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_contains" title="matplotlib.artist.Artist.set_contains"><code class="xref py py-meth docutils literal"><span class="pre">contains</span></code></a></td>
<td>a callable function</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">figure</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">frame_on</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_gid" title="matplotlib.artist.Artist.set_gid"><code class="xref py py-meth docutils literal"><span class="pre">gid</span></code></a></td>
<td>an id string</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_label" title="matplotlib.artist.Artist.set_label"><code class="xref py py-meth docutils literal"><span class="pre">label</span></code></a></td>
<td>string or anything printable with ‘%s’ conversion.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_lod" title="matplotlib.artist.Artist.set_lod"><code class="xref py py-meth docutils literal"><span class="pre">lod</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">navigate</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">navigate_mode</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_path_effects" title="matplotlib.artist.Artist.set_path_effects"><code class="xref py py-meth docutils literal"><span class="pre">path_effects</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_picker" title="matplotlib.artist.Artist.set_picker"><code class="xref py py-meth docutils literal"><span class="pre">picker</span></code></a></td>
<td>[None|float|boolean|callable]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">position</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">rasterization_zorder</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_rasterized" title="matplotlib.artist.Artist.set_rasterized"><code class="xref py py-meth docutils literal"><span class="pre">rasterized</span></code></a></td>
<td>[True | False | None]</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_sketch_params" title="matplotlib.artist.Artist.set_sketch_params"><code class="xref py py-meth docutils literal"><span class="pre">sketch_params</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_snap" title="matplotlib.artist.Artist.set_snap"><code class="xref py py-meth docutils literal"><span class="pre">snap</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">title</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_transform" title="matplotlib.artist.Artist.set_transform"><code class="xref py py-meth docutils literal"><span class="pre">transform</span></code></a></td>
<td><a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal"><span class="pre">Transform</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_url" title="matplotlib.artist.Artist.set_url"><code class="xref py py-meth docutils literal"><span class="pre">url</span></code></a></td>
<td>a url string</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_visible" title="matplotlib.artist.Artist.set_visible"><code class="xref py py-meth docutils literal"><span class="pre">visible</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xbound</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xlabel</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xlim</span></code></td>
<td>length 2 sequence of floats</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xmargin</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xscale</span></code></td>
<td>[u’linear’ | u’log’ | u’symlog’]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xticklabels</span></code></td>
<td>sequence of strings</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xticks</span></code></td>
<td>sequence of floats</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">ybound</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">ylabel</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">ylim</span></code></td>
<td>length 2 sequence of floats</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">ymargin</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">yscale</span></code></td>
<td>[u’linear’ | u’log’ | u’symlog’]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">yticklabels</span></code></td>
<td>sequence of strings</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">yticks</span></code></td>
<td>sequence of floats</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_zorder" title="matplotlib.artist.Artist.set_zorder"><code class="xref py py-meth docutils literal"><span class="pre">zorder</span></code></a></td>
<td>any number</td>
</tr>
</tbody>
</table>
</div></blockquote>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.add_axobserver">
<code class="descname">add_axobserver</code><span class="sig-paren">(</span><em>func</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.add_axobserver" title="Permalink to this definition">¶</a></dt>
<dd><p>whenever the axes state change, <code class="docutils literal"><span class="pre">func(self)</span></code> will be called</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.add_subplot">
<code class="descname">add_subplot</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.add_subplot" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a subplot. Examples:</p>
<div class="highlight-python"><div class="highlight"><pre><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="c"># equivalent but more general</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
<span class="c"># add subplot with red background</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">212</span><span class="p">,</span> <span class="n">axisbg</span><span class="o">=</span><span class="s">'r'</span><span class="p">)</span>
<span class="c"># add a polar subplot</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="s">'polar'</span><span class="p">)</span>
<span class="c"># add Subplot instance sub</span>
<span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="n">sub</span><span class="p">)</span>
</pre></div>
</div>
<p><em>kwargs</em> are legal <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> kwargs plus
<em>projection</em>, which chooses a projection type for the axes.
(For backward compatibility, <em>polar=True</em> may also be
provided, which is equivalent to <em>projection=’polar’</em>). Valid
values for <em>projection</em> are: [u’aitoff’, u’hammer’, u’lambert’, u’mollweide’, u’polar’, u’rectilinear’]. Some of
these projections
support additional <em>kwargs</em>, which may be provided to
<a class="reference internal" href="#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal"><span class="pre">add_axes()</span></code></a>.</p>
<p>The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> instance will be returned.</p>
<p>If the figure already has a subplot with key (<em>args</em>,
<em>kwargs</em>) then it will simply make that subplot current and
return it.</p>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last"><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><code class="xref py py-meth docutils literal"><span class="pre">subplot()</span></code></a> for an
explanation of the args.</p>
</div>
<p>The following kwargs are supported:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="37%" />
<col width="63%" />
</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><code class="xref py py-meth docutils literal"><span class="pre">adjustable</span></code></td>
<td>[ ‘box’ | ‘datalim’ | ‘box-forced’]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_agg_filter" title="matplotlib.artist.Artist.set_agg_filter"><code class="xref py py-meth docutils literal"><span class="pre">agg_filter</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_alpha" title="matplotlib.artist.Artist.set_alpha"><code class="xref py py-meth docutils literal"><span class="pre">alpha</span></code></a></td>
<td>float (0.0 transparent through 1.0 opaque)</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">anchor</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_animated" title="matplotlib.artist.Artist.set_animated"><code class="xref py py-meth docutils literal"><span class="pre">animated</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">aspect</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscale_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscalex_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">autoscaley_on</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_axes" title="matplotlib.artist.Artist.set_axes"><code class="xref py py-meth docutils literal"><span class="pre">axes</span></code></a></td>
<td>an <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal"><span class="pre">Axes</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">axes_locator</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">axis_bgcolor</span></code></td>
<td>any matplotlib color - see <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colors" title="matplotlib.pyplot.colors"><code class="xref py py-func docutils literal"><span class="pre">colors()</span></code></a></td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">axisbelow</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_box" title="matplotlib.artist.Artist.set_clip_box"><code class="xref py py-meth docutils literal"><span class="pre">clip_box</span></code></a></td>
<td>a <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.transforms.Bbox</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_on" title="matplotlib.artist.Artist.set_clip_on"><code class="xref py py-meth docutils literal"><span class="pre">clip_on</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_clip_path" title="matplotlib.artist.Artist.set_clip_path"><code class="xref py py-meth docutils literal"><span class="pre">clip_path</span></code></a></td>
<td>[ (<a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal"><span class="pre">Path</span></code></a>, <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal"><span class="pre">Transform</span></code></a>) | <a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><code class="xref py py-class docutils literal"><span class="pre">Patch</span></code></a> | None ]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">color_cycle</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_contains" title="matplotlib.artist.Artist.set_contains"><code class="xref py py-meth docutils literal"><span class="pre">contains</span></code></a></td>
<td>a callable function</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">figure</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">frame_on</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_gid" title="matplotlib.artist.Artist.set_gid"><code class="xref py py-meth docutils literal"><span class="pre">gid</span></code></a></td>
<td>an id string</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_label" title="matplotlib.artist.Artist.set_label"><code class="xref py py-meth docutils literal"><span class="pre">label</span></code></a></td>
<td>string or anything printable with ‘%s’ conversion.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_lod" title="matplotlib.artist.Artist.set_lod"><code class="xref py py-meth docutils literal"><span class="pre">lod</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">navigate</span></code></td>
<td>[ <em>True</em> | <em>False</em> ]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">navigate_mode</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_path_effects" title="matplotlib.artist.Artist.set_path_effects"><code class="xref py py-meth docutils literal"><span class="pre">path_effects</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_picker" title="matplotlib.artist.Artist.set_picker"><code class="xref py py-meth docutils literal"><span class="pre">picker</span></code></a></td>
<td>[None|float|boolean|callable]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">position</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">rasterization_zorder</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_rasterized" title="matplotlib.artist.Artist.set_rasterized"><code class="xref py py-meth docutils literal"><span class="pre">rasterized</span></code></a></td>
<td>[True | False | None]</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_sketch_params" title="matplotlib.artist.Artist.set_sketch_params"><code class="xref py py-meth docutils literal"><span class="pre">sketch_params</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_snap" title="matplotlib.artist.Artist.set_snap"><code class="xref py py-meth docutils literal"><span class="pre">snap</span></code></a></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">title</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_transform" title="matplotlib.artist.Artist.set_transform"><code class="xref py py-meth docutils literal"><span class="pre">transform</span></code></a></td>
<td><a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal"><span class="pre">Transform</span></code></a> instance</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_url" title="matplotlib.artist.Artist.set_url"><code class="xref py py-meth docutils literal"><span class="pre">url</span></code></a></td>
<td>a url string</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_visible" title="matplotlib.artist.Artist.set_visible"><code class="xref py py-meth docutils literal"><span class="pre">visible</span></code></a></td>
<td>[True | False]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xbound</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xlabel</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xlim</span></code></td>
<td>length 2 sequence of floats</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xmargin</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xscale</span></code></td>
<td>[u’linear’ | u’log’ | u’symlog’]</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">xticklabels</span></code></td>
<td>sequence of strings</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">xticks</span></code></td>
<td>sequence of floats</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">ybound</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">ylabel</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">ylim</span></code></td>
<td>length 2 sequence of floats</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">ymargin</span></code></td>
<td>unknown</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">yscale</span></code></td>
<td>[u’linear’ | u’log’ | u’symlog’]</td>
</tr>
<tr class="row-even"><td><code class="xref py py-meth docutils literal"><span class="pre">yticklabels</span></code></td>
<td>sequence of strings</td>
</tr>
<tr class="row-odd"><td><code class="xref py py-meth docutils literal"><span class="pre">yticks</span></code></td>
<td>sequence of floats</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_zorder" title="matplotlib.artist.Artist.set_zorder"><code class="xref py py-meth docutils literal"><span class="pre">zorder</span></code></a></td>
<td>any number</td>
</tr>
</tbody>
</table>
</div></blockquote>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.autofmt_xdate">
<code class="descname">autofmt_xdate</code><span class="sig-paren">(</span><em>bottom=0.2</em>, <em>rotation=30</em>, <em>ha=u'right'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.autofmt_xdate" title="Permalink to this definition">¶</a></dt>
<dd><p>Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.</p>
<dl class="docutils">
<dt><em>bottom</em></dt>
<dd>The bottom of the subplots for <a class="reference internal" href="#matplotlib.figure.Figure.subplots_adjust" title="matplotlib.figure.Figure.subplots_adjust"><code class="xref py py-meth docutils literal"><span class="pre">subplots_adjust()</span></code></a></dd>
<dt><em>rotation</em></dt>
<dd>The rotation of the xtick labels</dd>
<dt><em>ha</em></dt>
<dd>The horizontal alignment of the xticklabels</dd>
</dl>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.figure.Figure.axes">
<code class="descname">axes</code><a class="headerlink" href="#matplotlib.figure.Figure.axes" title="Permalink to this definition">¶</a></dt>
<dd><p>Read-only: list of axes in Figure</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.clear">
<code class="descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.clear" title="Permalink to this definition">¶</a></dt>
<dd><p>Clear the figure – synonym for <a class="reference internal" href="#matplotlib.figure.Figure.clf" title="matplotlib.figure.Figure.clf"><code class="xref py py-meth docutils literal"><span class="pre">clf()</span></code></a>.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.clf">
<code class="descname">clf</code><span class="sig-paren">(</span><em>keep_observers=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.clf" title="Permalink to this definition">¶</a></dt>
<dd><p>Clear the figure.</p>
<p>Set <em>keep_observers</em> to True if, for example,
a gui widget is tracking the axes in the figure.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.colorbar">
<code class="descname">colorbar</code><span class="sig-paren">(</span><em>mappable</em>, <em>cax=None</em>, <em>ax=None</em>, <em>use_gridspec=True</em>, <em>**kw</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.colorbar" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a colorbar for a ScalarMappable instance, <em>mappable</em>.</p>
<p>Documentation for the pylab thin wrapper:</p>
<p>Add a colorbar to a plot.</p>
<p>Function signatures for the <a class="reference internal" href="pyplot_api.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-mod docutils literal"><span class="pre">pyplot</span></code></a> interface; all
but the first are also method signatures for the
<a class="reference internal" href="#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:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">colorbar</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">colorbar</span><span class="p">(</span><span class="n">mappable</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">colorbar</span><span class="p">(</span><span class="n">mappable</span><span class="p">,</span> <span class="n">cax</span><span class="o">=</span><span class="n">cax</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">colorbar</span><span class="p">(</span><span class="n">mappable</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
</pre></div>
</div>
<p>arguments:</p>
<blockquote>
<div><dl class="docutils">
<dt><em>mappable</em></dt>
<dd>the <code class="xref py py-class docutils literal"><span class="pre">Image</span></code>,
<code class="xref py py-class docutils literal"><span class="pre">ContourSet</span></code>, etc. to
which the colorbar applies; this argument is mandatory for the
<a class="reference internal" href="#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 but optional for the
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><code class="xref py py-func docutils literal"><span class="pre">colorbar()</span></code></a> function, which sets the
default to the current image.</dd>
</dl>
</div></blockquote>
<p>keyword arguments:</p>
<blockquote>
<div><dl class="docutils">
<dt><em>cax</em></dt>
<dd>None | axes object into which the colorbar will be drawn</dd>
<dt><em>ax</em></dt>
<dd>None | parent axes object(s) from which space for a new
colorbar axes will be stolen. If a list of axes is given
they will all be resized to make room for the colorbar axes.</dd>
<dt><em>use_gridspec</em></dt>
<dd>False | If <em>cax</em> is None, a new <em>cax</em> is created as an instance of
Axes. If <em>ax</em> is an instance of Subplot and <em>use_gridspec</em> is True,
<em>cax</em> is created as an instance of Subplot using the
grid_spec module.</dd>
</dl>
</div></blockquote>
<p>Additional keyword arguments are of two kinds:</p>
<blockquote>
<div><p>axes properties:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="20%" />
<col width="80%" />
</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 shrink 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>
</div></blockquote>
<p>colorbar properties:</p>
<blockquote>
<div><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>extend</em></td>
<td>[ ‘neither’ | ‘both’ | ‘min’ | ‘max’ ]
If not ‘neither’, make pointed end(s) for out-of-
range values. These are set for a given colormap
using the colormap set_under and set_over methods.</td>
</tr>
<tr class="row-odd"><td><em>extendfrac</em></td>
<td>[ <em>None</em> | ‘auto’ | length | lengths ]
If set to <em>None</em>, both the minimum and maximum
triangular colorbar extensions with have a length of
5% of the interior colorbar length (this is the
default setting). If set to ‘auto’, makes the
triangular colorbar extensions the same lengths as
the interior boxes (when <em>spacing</em> is set to
‘uniform’) or the same lengths as the respective
adjacent interior boxes (when <em>spacing</em> is set to
‘proportional’). If a scalar, indicates the length
of both the minimum and maximum triangular colorbar
extensions as a fraction of the interior colorbar
length. A two-element sequence of fractions may also
be given, indicating the lengths of the minimum and
maximum colorbar extensions respectively as a
fraction of the interior colorbar length.</td>
</tr>
<tr class="row-even"><td><em>extendrect</em></td>
<td>[ <em>False</em> | <em>True</em> ]
If <em>False</em> the minimum and maximum colorbar extensions
will be triangular (the default). If <em>True</em> the
extensions will be rectangular.</td>
</tr>
<tr class="row-odd"><td><em>spacing</em></td>
<td>[ ‘uniform’ | ‘proportional’ ]
Uniform spacing gives each discrete color the same
space; proportional makes the space proportional to
the data interval.</td>
</tr>
<tr class="row-even"><td><em>ticks</em></td>
<td>[ None | list of ticks | Locator object ]
If None, ticks are determined automatically from the
input.</td>
</tr>
<tr class="row-odd"><td><em>format</em></td>
<td>[ None | format string | Formatter object ]
If None, the
<a class="reference internal" href="ticker_api.html#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><code class="xref py py-class docutils literal"><span class="pre">ScalarFormatter</span></code></a> is used.
If a format string is given, e.g., ‘%.3f’, that is
used. An alternative
<a class="reference internal" href="ticker_api.html#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal"><span class="pre">Formatter</span></code></a> object may be
given instead.</td>
</tr>
<tr class="row-even"><td><em>drawedges</em></td>
<td>[ False | True ] If true, draw lines at color
boundaries.</td>
</tr>
</tbody>
</table>
<p>The following will probably be useful only in the context of
indexed colors (that is, when the mappable has norm=NoNorm()),
or other unusual circumstances.</p>
<table border="1" class="docutils">
<colgroup>
<col width="19%" />
<col width="81%" />
</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>boundaries</em></td>
<td>None or a sequence</td>
</tr>
<tr class="row-odd"><td><em>values</em></td>
<td>None or a sequence which must be of length 1 less
than the sequence of <em>boundaries</em>. For each region
delimited by adjacent entries in <em>boundaries</em>, the
color mapped to the corresponding value in values
will be used.</td>
</tr>
</tbody>
</table>
</div></blockquote>
</div></blockquote>
<p>If <em>mappable</em> is a <code class="xref py py-class docutils literal"><span class="pre">ContourSet</span></code>, its <em>extend</em>
kwarg is included automatically.</p>
<p>Note that the <em>shrink</em> kwarg provides a simple way to keep a vertical
colorbar, for example, from being taller than the axes of the mappable
to which the colorbar is attached; but it is a manual method requiring
some trial and error. If the colorbar is too tall (or a horizontal
colorbar is too wide) use a smaller value of <em>shrink</em>.</p>
<p>For more precise control, you can manually specify the positions of
the axes objects in which the mappable and the colorbar are drawn. In
this case, do not use any of the axes properties kwargs.</p>
<p>It is known that some vector graphics viewer (svg and pdf) renders white gaps
between segments of the colorbar. This is due to bugs in the viewers not
matplotlib. As a workaround the colorbar can be rendered with overlapping
segments:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">cbar</span> <span class="o">=</span> <span class="n">colorbar</span><span class="p">()</span>
<span class="n">cbar</span><span class="o">.</span><span class="n">solids</span><span class="o">.</span><span class="n">set_edgecolor</span><span class="p">(</span><span class="s">"face"</span><span class="p">)</span>
<span class="n">draw</span><span class="p">()</span>
</pre></div>
</div>
<p>However this has negative consequences in other circumstances. Particularly
with semi transparent images (alpha < 1) and colorbar extensions and is not
enabled by default see (issue #1188).</p>
<dl class="docutils">
<dt>returns:</dt>
<dd><a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><code class="xref py py-class docutils literal"><span class="pre">Colorbar</span></code></a> instance; see also its base class,
<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal"><span class="pre">ColorbarBase</span></code></a>. Call the
<a class="reference internal" href="colorbar_api.html#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> method
to label the colorbar.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.contains">
<code class="descname">contains</code><span class="sig-paren">(</span><em>mouseevent</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.contains" title="Permalink to this definition">¶</a></dt>
<dd><p>Test whether the mouse event occurred on the figure.</p>
<p>Returns True,{}</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.delaxes">
<code class="descname">delaxes</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.delaxes" title="Permalink to this definition">¶</a></dt>
<dd><p>remove a from the figure and update the current axes</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.figure.Figure.dpi">
<code class="descname">dpi</code><a class="headerlink" href="#matplotlib.figure.Figure.dpi" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.draw">
<code class="descname">draw</code><span class="sig-paren">(</span><em>artist</em>, <em>renderer</em>, <em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.draw" title="Permalink to this definition">¶</a></dt>
<dd><p>Render the figure using <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.RendererBase" title="matplotlib.backend_bases.RendererBase"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.backend_bases.RendererBase</span></code></a>
instance <em>renderer</em>.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.draw_artist">
<code class="descname">draw_artist</code><span class="sig-paren">(</span><em>a</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.draw_artist" title="Permalink to this definition">¶</a></dt>
<dd><p>draw <a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.artist.Artist</span></code></a> instance <em>a</em> only –
this is available only after the figure is drawn</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.figure.Figure.figimage">
<code class="descname">figimage</code><span class="sig-paren">(</span><em>X</em>, <em>xo=0</em>, <em>yo=0</em>, <em>alpha=None</em>, <em>norm=None</em>, <em>cmap=None</em>, <em>vmin=None</em>, <em>vmax=None</em>, <em>origin=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.figure.Figure.figimage" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a non-resampled image to the figure.</p>
<p>call signatures:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">figimage</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
</pre></div>
</div>
<p>adds a non-resampled array <em>X</em> to the figure.</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">figimage</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">xo</span><span class="p">,</span> <span class="n">yo</span><span class="p">)</span>
</pre></div>
</div>
<p>with pixel offsets <em>xo</em>, <em>yo</em>,</p>
<p><em>X</em> must be a float array:</p>
<ul class="simple">
<li>If <em>X</em> is MxN, assume luminance (grayscale)</li>
<li>If <em>X</em> is MxNx3, assume RGB</li>
<li>If <em>X</em> is MxNx4, assume RGBA</li>
</ul>
<p>Optional keyword arguments:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="14%" />
<col width="86%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Keyword</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>xo or yo</td>
<td>An integer, the <em>x</em> and <em>y</em> image offset in pixels</td>
</tr>
<tr class="row-odd"><td>cmap</td>
<td>a <a class="reference internal" href="colors_api.html#matplotlib.colors.Colormap" title="matplotlib.colors.Colormap"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.colors.Colormap</span></code></a> instance, eg
cm.jet. If <em>None</em>, default to the rc <code class="docutils literal"><span class="pre">image.cmap</span></code>
value</td>
</tr>
<tr class="row-even"><td>norm</td>
<td>a <a class="reference internal" href="colors_api.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.colors.Normalize</span></code></a> instance. The
default is normalization(). This scales luminance -> 0-1</td>
</tr>
<tr class="row-odd"><td>vmin|vmax</td>
<td>are used to scale a luminance image to 0-1. If either
You can’t perform that action at this time.