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

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<li><a class="reference internal" href="#">figure</a><ul>

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<h1>figure<a class="headerlink" href="#figure" title="Permalink to this headline">¶</a></h1>

<h2><a class="reference internal" href="#module-matplotlib.figure" title="matplotlib.figure"><tt class="xref py py-mod docutils literal">matplotlib.figure</tt></a><a class="headerlink" href="#module-matplotlib.figure" title="Permalink to this headline">¶</a></h2>

The figure module provides the top-level

<a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><tt class="xref py py-class docutils literal">Artist</tt></a>, the <a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal">Figure</tt></a>, which

contains all the plot elements. The following classes are defined

<dt><a class="reference internal" href="#matplotlib.figure.SubplotParams" title="matplotlib.figure.SubplotParams"><tt class="xref py py-class docutils literal">SubplotParams</tt></a></dt>

<dd>control the default spacing of the subplots</dd>

<dt><a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal">Figure</tt></a></dt>

<dd>top level container for all plot elements</dd>

</dl>

class <tt class="descclassname">matplotlib.figure.</tt><tt class="descname">AxesStack</tt><a class="headerlink" href="#matplotlib.figure.AxesStack" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="cbook_api.html#matplotlib.cbook.Stack" title="matplotlib.cbook.Stack"><tt class="xref py py-class docutils literal">matplotlib.cbook.Stack</tt></a>

Specialization of the Stack to handle all tracking of Axes in a Figure.

This stack stores <tt class="docutils literal">key, (ind, axes)</tt> pairs, where:

<li>key should be a hash of the args and kwargs

used in generating the Axes.</li>

<li>ind is a serial number for tracking the order

in which axes were added.</li>

</ul>

</div></blockquote>

The AxesStack is a callable, where <tt class="docutils literal">ax_stack()</tt> returns

the current axes. Alternatively the <a class="reference internal" href="#matplotlib.figure.AxesStack.current_key_axes" title="matplotlib.figure.AxesStack.current_key_axes"><tt class="xref py py-meth docutils literal">current_key_axes()</tt></a> will

return the current key and associated axes.

<dd>Add Axes a, with key key, to the stack, and return the stack.

If a is already on the stack, don’t add it again, but

return None.

</dd></dl>

<dd>Return a list of the Axes instances that have been added to the figure

</dd></dl>

<tt class="descname">bubble</tt><big>(</big>a<big>)</big><a class="headerlink" href="#matplotlib.figure.AxesStack.bubble" title="Permalink to this definition">¶</a></dt>

<dd>Move the given axes, which must already exist in the

stack, to the top.

</dd></dl>

<tt class="descname">current_key_axes</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.figure.AxesStack.current_key_axes" title="Permalink to this definition">¶</a></dt>

<dd>Return a tuple of <tt class="docutils literal">(key, axes)</tt> for the active axes.

If no axes exists on the stack, then returns <tt class="docutils literal">(None, None)</tt>.

</dd></dl>

<dd>Return the Axes instance that was added with key.

If it is not present, return None.

</dd></dl>

<tt class="descname">remove</tt><big>(</big>a<big>)</big><a class="headerlink" href="#matplotlib.figure.AxesStack.remove" title="Permalink to this definition">¶</a></dt>

<dd>Remove the axes from the stack.

</dd></dl>

class <tt class="descclassname">matplotlib.figure.</tt><tt class="descname">Figure</tt><big>(</big>figsize=None, dpi=None, facecolor=None, edgecolor=None, linewidth=0.0, frameon=None, subplotpars=None, tight_layout=None<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><tt class="xref py py-class docutils literal">matplotlib.artist.Artist</tt></a>

The Figure instance supports callbacks through a callbacks

attribute which is a <a class="reference internal" href="cbook_api.html#matplotlib.cbook.CallbackRegistry" title="matplotlib.cbook.CallbackRegistry"><tt class="xref py py-class docutils literal">matplotlib.cbook.CallbackRegistry</tt></a>

instance. The events you can connect to are ‘dpi_changed’, and

the callback will be called with <tt class="docutils literal">func(fig)</tt> where fig is the

<a class="reference internal" href="#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal">Figure</tt></a> instance.

<dt>patch</dt>

<dd>The figure patch is drawn by a

<a class="reference internal" href="artist_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><tt class="xref py py-class docutils literal">matplotlib.patches.Rectangle</tt></a> instance</dd>

<dt>suppressComposite</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>figsize</dt>

<dd>w,h tuple in inches</dd>

<dt>facecolor</dt>

<dd>The figure patch facecolor; defaults to rc <tt class="docutils literal">figure.facecolor</tt></dd>

<dt>edgecolor</dt>

<dd>The figure patch edge color; defaults to rc <tt class="docutils literal">figure.edgecolor</tt></dd>

<dt>linewidth</dt>

<dd>The figure patch edge linewidth; the default linewidth of the frame</dd>

<dt>frameon</dt>

<dd>If False, suppress drawing the figure frame</dd>

<dt>subplotpars</dt>

<dd>A <a class="reference internal" href="#matplotlib.figure.SubplotParams" title="matplotlib.figure.SubplotParams"><tt class="xref py py-class docutils literal">SubplotParams</tt></a> instance, defaults to rc</dd>

<dt>tight_layout</dt>

<dd>If False use subplotpars; if True adjust subplot

parameters using <a class="reference internal" href="#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout"><tt class="xref py py-meth docutils literal">tight_layout()</tt></a> with default padding.

When providing a dict containing the keys <tt class="xref py py-obj docutils literal">pad</tt>, <tt class="xref py py-obj docutils literal">w_pad</tt>, <tt class="xref py py-obj docutils literal">h_pad</tt>

and <tt class="xref py py-obj docutils literal">rect</tt>, the default <a class="reference internal" href="#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout"><tt class="xref py py-meth docutils literal">tight_layout()</tt></a> paddings will be

overridden.

Defaults to rc <tt class="docutils literal">figure.autolayout</tt>.</dd>

</dl>

<tt class="descname">add_axes</tt><big>(</big>*args, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.add_axes" title="Permalink to this definition">¶</a></dt>

<dd>Add an axes at position rect [left, bottom, width,

height] 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"><tt class="xref py py-class docutils literal">Axes</tt></a> kwargs plus projection which

sets the projection type of the axes. (For backward

compatibility, <tt class="docutils literal">polar=True</tt> may also be provided, which is

equivalent to <tt class="docutils literal">projection='polar'</tt>). Valid values for

projection are: [‘aitoff’, ‘hammer’, ‘lambert’, ‘mollweide’, ‘polar’, ‘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"><tt class="xref py py-meth docutils literal">add_axes()</tt></a>. Typical usage:

<div class="highlight-python"><div class="highlight"><pre>rect = l,b,w,h

fig.add_axes(rect)

fig.add_axes(rect, frameon=False, axisbg='g')

fig.add_axes(rect, polar=True)

fig.add_axes(rect, projection='polar')

fig.add_axes(ax)

</pre></div>

</div>

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 <tt class="xref py py-attr docutils literal">label</tt>

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:

<div class="highlight-python"><div class="highlight"><pre>fig.add_axes(rect, label='axes1')

fig.add_axes(rect, label='axes2')

</pre></div>

</div>

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"><tt class="xref py py-meth docutils literal">delaxes()</tt></a>, it can

be restored with:

</pre></div>

</div>

In all cases, the <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">Axes</tt></a> instance

will be returned.

In addition to projection, the following kwargs are supported:

</colgroup>

<tr class="row-odd"><th class="head">Property</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_adjustable" title="matplotlib.axes.Axes.set_adjustable"><tt class="xref py py-meth docutils literal">adjustable</tt></a></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"><tt class="xref py py-meth docutils literal">agg_filter</tt></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"><tt class="xref py py-meth docutils literal">alpha</tt></a></td>

<td>float (0.0 transparent through 1.0 opaque)</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_anchor" title="matplotlib.axes.Axes.set_anchor"><tt class="xref py py-meth docutils literal">anchor</tt></a></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"><tt class="xref py py-meth docutils literal">animated</tt></a></td>

<td>[True | False]</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_aspect" title="matplotlib.axes.Axes.set_aspect"><tt class="xref py py-meth docutils literal">aspect</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_autoscale_on" title="matplotlib.axes.Axes.set_autoscale_on"><tt class="xref py py-meth docutils literal">autoscale_on</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_autoscalex_on" title="matplotlib.axes.Axes.set_autoscalex_on"><tt class="xref py py-meth docutils literal">autoscalex_on</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_autoscaley_on" title="matplotlib.axes.Axes.set_autoscaley_on"><tt class="xref py py-meth docutils literal">autoscaley_on</tt></a></td>

<td>unknown</td>

</tr>

<td>an <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">Axes</tt></a> instance</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_axes_locator" title="matplotlib.axes.Axes.set_axes_locator"><tt class="xref py py-meth docutils literal">axes_locator</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_axis_bgcolor" title="matplotlib.axes.Axes.set_axis_bgcolor"><tt class="xref py py-meth docutils literal">axis_bgcolor</tt></a></td>

<td>any matplotlib color - see <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colors" title="matplotlib.pyplot.colors"><tt class="xref py py-func docutils literal">colors()</tt></a></td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_axisbelow" title="matplotlib.axes.Axes.set_axisbelow"><tt class="xref py py-meth docutils literal">axisbelow</tt></a></td>

<td>[ True | False ]</td>

</tr>

<td>a <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><tt class="xref py py-class docutils literal">matplotlib.transforms.Bbox</tt></a> instance</td>

</tr>

<td>[True | False]</td>

</tr>

<td>[ (<a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><tt class="xref py py-class docutils literal">Path</tt></a>, <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><tt class="xref py py-class docutils literal">Transform</tt></a>) | <a class="reference internal" href="artist_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal">Patch</tt></a> | None ]</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_color_cycle" title="matplotlib.axes.Axes.set_color_cycle"><tt class="xref py py-meth docutils literal">color_cycle</tt></a></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"><tt class="xref py py-meth docutils literal">contains</tt></a></td>

<td>a callable function</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_cursor_props" title="matplotlib.axes.Axes.set_cursor_props"><tt class="xref py py-meth docutils literal">cursor_props</tt></a></td>

<td>a (float, color) tuple</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_figure" title="matplotlib.axes.Axes.set_figure"><tt class="xref py py-meth docutils literal">figure</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_frame_on" title="matplotlib.axes.Axes.set_frame_on"><tt class="xref py py-meth docutils literal">frame_on</tt></a></td>

<td>[ True | False ]</td>

</tr>

<td>an id string</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_label" title="matplotlib.artist.Artist.set_label"><tt class="xref py py-meth docutils literal">label</tt></a></td>

<td>string or anything printable with ‘%s’ conversion.</td>

</tr>

<td>[True | False]</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_navigate" title="matplotlib.axes.Axes.set_navigate"><tt class="xref py py-meth docutils literal">navigate</tt></a></td>

<td>[ True | False ]</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_navigate_mode" title="matplotlib.axes.Axes.set_navigate_mode"><tt class="xref py py-meth docutils literal">navigate_mode</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_path_effects" title="matplotlib.artist.Artist.set_path_effects"><tt class="xref py py-meth docutils literal">path_effects</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_picker" title="matplotlib.artist.Artist.set_picker"><tt class="xref py py-meth docutils literal">picker</tt></a></td>

<td>[None|float|boolean|callable]</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_position" title="matplotlib.axes.Axes.set_position"><tt class="xref py py-meth docutils literal">position</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_rasterization_zorder" title="matplotlib.axes.Axes.set_rasterization_zorder"><tt class="xref py py-meth docutils literal">rasterization_zorder</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_rasterized" title="matplotlib.artist.Artist.set_rasterized"><tt class="xref py py-meth docutils literal">rasterized</tt></a></td>

<td>[True | False | None]</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_sketch_params" title="matplotlib.artist.Artist.set_sketch_params"><tt class="xref py py-meth docutils literal">sketch_params</tt></a></td>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title"><tt class="xref py py-meth docutils literal">title</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_transform" title="matplotlib.artist.Artist.set_transform"><tt class="xref py py-meth docutils literal">transform</tt></a></td>

<td><a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><tt class="xref py py-class docutils literal">Transform</tt></a> instance</td>

</tr>

<td>a url string</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_visible" title="matplotlib.artist.Artist.set_visible"><tt class="xref py py-meth docutils literal">visible</tt></a></td>

<td>[True | False]</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xbound" title="matplotlib.axes.Axes.set_xbound"><tt class="xref py py-meth docutils literal">xbound</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xlabel" title="matplotlib.axes.Axes.set_xlabel"><tt class="xref py py-meth docutils literal">xlabel</tt></a></td>

<td>unknown</td>

</tr>

<td>length 2 sequence of floats</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xmargin" title="matplotlib.axes.Axes.set_xmargin"><tt class="xref py py-meth docutils literal">xmargin</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xscale" title="matplotlib.axes.Axes.set_xscale"><tt class="xref py py-meth docutils literal">xscale</tt></a></td>

<td>[‘linear’ | ‘log’ | ‘symlog’]</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xticklabels" title="matplotlib.axes.Axes.set_xticklabels"><tt class="xref py py-meth docutils literal">xticklabels</tt></a></td>

<td>sequence of strings</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xticks" title="matplotlib.axes.Axes.set_xticks"><tt class="xref py py-meth docutils literal">xticks</tt></a></td>

<td>sequence of floats</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_ybound" title="matplotlib.axes.Axes.set_ybound"><tt class="xref py py-meth docutils literal">ybound</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_ylabel" title="matplotlib.axes.Axes.set_ylabel"><tt class="xref py py-meth docutils literal">ylabel</tt></a></td>

<td>unknown</td>

</tr>

<td>length 2 sequence of floats</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_ymargin" title="matplotlib.axes.Axes.set_ymargin"><tt class="xref py py-meth docutils literal">ymargin</tt></a></td>

<td>unknown</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_yscale" title="matplotlib.axes.Axes.set_yscale"><tt class="xref py py-meth docutils literal">yscale</tt></a></td>

<td>[‘linear’ | ‘log’ | ‘symlog’]</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_yticklabels" title="matplotlib.axes.Axes.set_yticklabels"><tt class="xref py py-meth docutils literal">yticklabels</tt></a></td>

<td>sequence of strings</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_yticks" title="matplotlib.axes.Axes.set_yticks"><tt class="xref py py-meth docutils literal">yticks</tt></a></td>

<td>sequence of floats</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="artist_api.html#matplotlib.artist.Artist.set_zorder" title="matplotlib.artist.Artist.set_zorder"><tt class="xref py py-meth docutils literal">zorder</tt></a></td>

<td>any number</td>

</tr>

</tbody>

</table>

</div></blockquote>

</dd></dl>

<tt class="descname">add_axobserver</tt><big>(</big>func<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.add_axobserver" title="Permalink to this definition">¶</a></dt>

<dd>whenever the axes state change, <tt class="docutils literal">func(self)</tt> will be called

</dd></dl>

<tt class="descname">add_subplot</tt><big>(</big>*args, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.add_subplot" title="Permalink to this definition">¶</a></dt>

<dd>Add a subplot. Examples:

<div class="highlight-python"><div class="highlight"><pre>fig.add_subplot(111)

# equivalent but more general

fig.add_subplot(1,1,1)

# add subplot with red background

fig.add_subplot(212, axisbg='r')

# add a polar subplot

fig.add_subplot(111, projection='polar')

# add Subplot instance sub

fig.add_subplot(sub)

</pre></div>

</div>

kwargs are legal <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">Axes</tt></a> kwargs plus

projection, which chooses a projection type for the axes.

(For backward compatibility, polar=True may also be

provided, which is equivalent to projection=’polar’). Valid

values for projection are: [‘aitoff’, ‘hammer’, ‘lambert’, ‘mollweide’, ‘polar’, ‘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"><tt class="xref py py-meth docutils literal">add_axes()</tt></a>.

The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">Axes</tt></a> instance will be returned.

If the figure already has a subplot with key (args,

kwargs) then it will simply make that subplot current and

return it.

The following kwargs are supported:

</colgroup>

<tr class="row-odd"><th class="head">Property</th>

<th class="head">Description</th>

</tr>

</thead>

<td>[ ‘box’ | ‘datalim’ | ‘box-forced’]</td>

</tr>

<td>unknown</td>

</tr>

<td>float (0.0 transparent through 1.0 opaque)</td>

</tr>

<td>unknown</td>

</tr>

<td>[True | False]</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>[ True | False ]</td>

</tr>

<td>[True | False]</td>

</tr>

<td>unknown</td>

</tr>

<td>a callable function</td>

</tr>

<td>a (float, color) tuple</td>

</tr>

<td>unknown</td>

</tr>

<td>[ True | False ]</td>

</tr>

<td>an id string</td>

</tr>

<td>string or anything printable with ‘%s’ conversion.</td>

</tr>

<td>[True | False]</td>

</tr>

<td>[ True | False ]</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>[None|float|boolean|callable]</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>[True | False | None]</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>a url string</td>

</tr>

<td>[True | False]</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>length 2 sequence of floats</td>

</tr>

<td>unknown</td>

</tr>

<td>[‘linear’ | ‘log’ | ‘symlog’]</td>

</tr>

<td>sequence of strings</td>

</tr>

<td>sequence of floats</td>

</tr>

<td>unknown</td>

</tr>

<td>unknown</td>

</tr>

<td>length 2 sequence of floats</td>

</tr>

<td>unknown</td>

</tr>

<td>[‘linear’ | ‘log’ | ‘symlog’]</td>

</tr>

<td>sequence of strings</td>

</tr>

<td>sequence of floats</td>

</tr>

<td>any number</td>

</tr>

</tbody>

</table>

</div></blockquote>

</dd></dl>

<tt class="descname">autofmt_xdate</tt><big>(</big>bottom=0.2, rotation=30, ha='right'<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.autofmt_xdate" title="Permalink to this definition">¶</a></dt>

<dd>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.

<dt>bottom</dt>

<dd>The bottom of the subplots for <a class="reference internal" href="#matplotlib.figure.Figure.subplots_adjust" title="matplotlib.figure.Figure.subplots_adjust"><tt class="xref py py-meth docutils literal">subplots_adjust()</tt></a></dd>

<dt>rotation</dt>

<dd>The rotation of the xtick labels</dd>

<dd>The horizontal alignment of the xticklabels</dd>

</dl>

</dd></dl>

<dd>Read-only: list of axes in Figure

</dd></dl>

<tt class="descname">clear</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.clear" title="Permalink to this definition">¶</a></dt>

<dd>Clear the figure – synonym for <a class="reference internal" href="#matplotlib.figure.Figure.clf" title="matplotlib.figure.Figure.clf"><tt class="xref py py-meth docutils literal">clf()</tt></a>.

</dd></dl>

<tt class="descname">clf</tt><big>(</big>keep_observers=False<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.clf" title="Permalink to this definition">¶</a></dt>

<dd>Clear the figure.

Set keep_observers to True if, for example,

a gui widget is tracking the axes in the figure.

</dd></dl>

<tt class="descname">colorbar</tt><big>(</big>mappable, cax=None, ax=None, **kw<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.colorbar" title="Permalink to this definition">¶</a></dt>

<dd>Create a colorbar for a ScalarMappable instance, mappable.

Documentation for the pylab thin wrapper:

Add a colorbar to a plot.

Function signatures for the <a class="reference internal" href="pyplot_api.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><tt class="xref py py-mod docutils literal">pyplot</tt></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"><tt class="xref py py-meth docutils literal">colorbar()</tt></a> method:

<div class="highlight-python"><div class="highlight"><pre>colorbar(**kwargs)

colorbar(mappable, **kwargs)

colorbar(mappable, cax=cax, **kwargs)

colorbar(mappable, ax=ax, **kwargs)

</pre></div>

</div>

arguments:

<dt>mappable</dt>

<dd>the <tt class="xref py py-class docutils literal">Image</tt>,

<tt class="xref py py-class docutils literal">ContourSet</tt>, etc. to

which the colorbar applies; this argument is mandatory for the

<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><tt class="xref py py-func docutils literal">colorbar()</tt></a> function, which sets the

default to the current image.</dd>

</dl>

</div></blockquote>

keyword arguments:

<dd>None | axes object into which the colorbar will be drawn</dd>

<dd>None | parent axes object from which space for a new

colorbar axes will be stolen</dd>

<dt>use_gridspec</dt>

<dd>False | If cax is None, a new cax is created as an instance of

Axes. If ax is an instance of Subplot and use_gridspec is True,

cax is created as an instance of Subplot using the

grid_spec module.</dd>

</dl>

</div></blockquote>

Additional keyword arguments are of two kinds:

<div>axes properties:

</colgroup>

<tr class="row-odd"><th class="head">Property</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>orientation</td>

<td>vertical or horizontal</td>

</tr>

<tr class="row-odd"><td>fraction</td>

<td>0.15; fraction of original axes to use for colorbar</td>

</tr>

<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>shrink</td>

<td>1.0; fraction by which to shrink the colorbar</td>

</tr>

<tr class="row-even"><td>aspect</td>

<td>20; ratio of long to short dimensions</td>

</tr>

<tr class="row-odd"><td>anchor</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>panchor</td>

<td>(1.0, 0.5) if vertical; (0.5, 0.0) if horizontal;

the anchor point of the colorbar parent axes</td>

</tr>

</tbody>

</table>

</div></blockquote>

colorbar properties:

</colgroup>

<tr class="row-odd"><th class="head">Property</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>extend</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>extendfrac</td>

<td>[ None | ‘auto’ | length | lengths ]

If set to None, 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 spacing is set to

‘uniform’) or the same lengths as the respective

adjacent interior boxes (when spacing 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>extendrect</td>

<td>[ False | True ]

If False the minimum and maximum colorbar extensions

will be triangular (the default). If True the

extensions will be rectangular.</td>

</tr>

<tr class="row-odd"><td>spacing</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>ticks</td>

<td>[ None | list of ticks | Locator object ]

If None, ticks are determined automatically from the

input.</td>

</tr>

<tr class="row-odd"><td>format</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"><tt class="xref py py-class docutils literal">ScalarFormatter</tt></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"><tt class="xref py py-class docutils literal">Formatter</tt></a> object may be

given instead.</td>

</tr>

<tr class="row-even"><td>drawedges</td>

<td>[ False | True ] If true, draw lines at color

boundaries.</td>

</tr>

</tbody>

</table>

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.

</colgroup>

<tr class="row-odd"><th class="head">Property</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>boundaries</td>

<td>None or a sequence</td>

</tr>

<tr class="row-odd"><td>values</td>

<td>None or a sequence which must be of length 1 less

than the sequence of boundaries. For each region

delimited by adjacent entries in boundaries, the

color mapped to the corresponding value in values

will be used.</td>

</tr>

</tbody>

</table>

</div></blockquote>

If mappable is a <tt class="xref py py-class docutils literal">ContourSet</tt>, its extend

kwarg is included automatically.

Note that the shrink 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 shrink.

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.

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:

<div class="highlight-python"><div class="highlight"><pre>cbar = colorbar()

cbar.solids.set_edgecolor("face")

draw()

</pre></div>

</div>

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).

<dt>returns:</dt>

<dd><a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar"><tt class="xref py py-class docutils literal">Colorbar</tt></a> instance; see also its base class,

<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><tt class="xref py py-class docutils literal">ColorbarBase</tt></a>. Call the

<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase.set_label" title="matplotlib.colorbar.ColorbarBase.set_label"><tt class="xref py py-meth docutils literal">set_label()</tt></a> method

to label the colorbar.</dd>

</dl>

</dd></dl>

<tt class="descname">contains</tt><big>(</big>mouseevent<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.contains" title="Permalink to this definition">¶</a></dt>

<dd>Test whether the mouse event occurred on the figure.

Returns True,{}

</dd></dl>

<tt class="descname">delaxes</tt><big>(</big>a<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.delaxes" title="Permalink to this definition">¶</a></dt>

<dd>remove a from the figure and update the current axes

</dd></dl>

<tt class="descname">draw</tt><big>(</big>artist, renderer, *args, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.draw" title="Permalink to this definition">¶</a></dt>

<dd>Render the figure using <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.RendererBase" title="matplotlib.backend_bases.RendererBase"><tt class="xref py py-class docutils literal">matplotlib.backend_bases.RendererBase</tt></a>

instance renderer.

</dd></dl>

<tt class="descname">draw_artist</tt><big>(</big>a<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.draw_artist" title="Permalink to this definition">¶</a></dt>

<dd>draw <a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><tt class="xref py py-class docutils literal">matplotlib.artist.Artist</tt></a> instance a only –

this is available only after the figure is drawn

</dd></dl>

<tt class="descname">figimage</tt><big>(</big>X, xo=0, yo=0, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, origin=None, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.figure.Figure.figimage" title="Permalink to this definition">¶</a></dt>

<dd>Adds a non-resampled image to the figure.

call signatures:

<div class="highlight-python"><div class="highlight"><pre>figimage(X, **kwargs)

</pre></div>

</div>

adds a non-resampled array X to the figure.

<div class="highlight-python"><div class="highlight"><pre>figimage(X, xo, yo)

</pre></div>

</div>

with pixel offsets xo, yo,

X must be a float array:

<li>If X is MxN, assume luminance (grayscale)</li>

<li>If X is MxNx3, assume RGB</li>

<li>If X is MxNx4, assume RGBA</li>

</ul>

Optional keyword arguments:

</colgroup>

<tr class="row-odd"><th class="head">Keyword</th>

<th class="head">Description</th>

</tr>

</thead>

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