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<div class="section" id="module-matplotlib.backend_bases">
<span id="matplotlib-backend-bases"></span><h1><a class="reference internal" href="#module-matplotlib.backend_bases" title="matplotlib.backend_bases"><tt class="xref py py-mod docutils literal"><span class="pre">matplotlib.backend_bases</span></tt></a><a class="headerlink" href="#module-matplotlib.backend_bases" title="Permalink to this headline">¶</a></h1>
<p>Abstract base classes define the primitives that renderers and
graphics contexts must implement to serve as a matplotlib backend</p>
<dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.backend_bases.RendererBase" title="matplotlib.backend_bases.RendererBase"><tt class="xref py py-class docutils literal"><span class="pre">RendererBase</span></tt></a></dt>
<dd>An abstract base class to handle drawing/rendering operations.</dd>
<dt><a class="reference internal" href="#matplotlib.backend_bases.FigureCanvasBase" title="matplotlib.backend_bases.FigureCanvasBase"><tt class="xref py py-class docutils literal"><span class="pre">FigureCanvasBase</span></tt></a></dt>
<dd>The abstraction layer that separates the
<a class="reference internal" href="figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.figure.Figure</span></tt></a> from the backend specific
details like a user interface drawing area</dd>
<dt><a class="reference internal" href="#matplotlib.backend_bases.GraphicsContextBase" title="matplotlib.backend_bases.GraphicsContextBase"><tt class="xref py py-class docutils literal"><span class="pre">GraphicsContextBase</span></tt></a></dt>
<dd>An abstract base class that provides color, line styles, etc...</dd>
<dt><a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">Event</span></tt></a></dt>
<dd>The base class for all of the matplotlib event
handling. Derived classes suh as <a class="reference internal" href="#matplotlib.backend_bases.KeyEvent" title="matplotlib.backend_bases.KeyEvent"><tt class="xref py py-class docutils literal"><span class="pre">KeyEvent</span></tt></a> and
<a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> store the meta data like keys and buttons
pressed, x and y locations in pixel and
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal"><span class="pre">Axes</span></tt></a> coordinates.</dd>
<dt><a class="reference internal" href="#matplotlib.backend_bases.ShowBase" title="matplotlib.backend_bases.ShowBase"><tt class="xref py py-class docutils literal"><span class="pre">ShowBase</span></tt></a></dt>
<dd>The base class for the Show class of each interactive backend;
the ‘show’ callable is then set to Show.__call__, inherited from
ShowBase.</dd>
</dl>
<dl class="class">
<dt id="matplotlib.backend_bases.CloseEvent">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">CloseEvent</tt><big>(</big><em>name</em>, <em>canvas</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.CloseEvent" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.backend_bases.Event</span></tt></a></p>
<p>An event triggered by a figure being closed</p>
<p>In addition to the <a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">Event</span></tt></a> attributes, the following event
attributes are defined:</p>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.Cursors">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">Cursors</tt><a class="headerlink" href="#matplotlib.backend_bases.Cursors" title="Permalink to this definition">¶</a></dt>
<dd><dl class="attribute">
<dt id="matplotlib.backend_bases.Cursors.HAND">
<tt class="descname">HAND</tt><em class="property"> = 0</em><a class="headerlink" href="#matplotlib.backend_bases.Cursors.HAND" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.Cursors.MOVE">
<tt class="descname">MOVE</tt><em class="property"> = 3</em><a class="headerlink" href="#matplotlib.backend_bases.Cursors.MOVE" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.Cursors.POINTER">
<tt class="descname">POINTER</tt><em class="property"> = 1</em><a class="headerlink" href="#matplotlib.backend_bases.Cursors.POINTER" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.Cursors.SELECT_REGION">
<tt class="descname">SELECT_REGION</tt><em class="property"> = 2</em><a class="headerlink" href="#matplotlib.backend_bases.Cursors.SELECT_REGION" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.DrawEvent">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">DrawEvent</tt><big>(</big><em>name</em>, <em>canvas</em>, <em>renderer</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.DrawEvent" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.backend_bases.Event</span></tt></a></p>
<p>An event triggered by a draw operation on the canvas</p>
<p>In addition to the <a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">Event</span></tt></a> attributes, the following event
attributes are defined:</p>
<dl class="docutils">
<dt><em>renderer</em></dt>
<dd>the <a class="reference internal" href="#matplotlib.backend_bases.RendererBase" title="matplotlib.backend_bases.RendererBase"><tt class="xref py py-class docutils literal"><span class="pre">RendererBase</span></tt></a> instance for the draw event</dd>
</dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.Event">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">Event</tt><big>(</big><em>name</em>, <em>canvas</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.Event" title="Permalink to this definition">¶</a></dt>
<dd><p>A matplotlib event. Attach additional attributes as defined in
<a class="reference internal" href="#matplotlib.backend_bases.FigureCanvasBase.mpl_connect" title="matplotlib.backend_bases.FigureCanvasBase.mpl_connect"><tt class="xref py py-meth docutils literal"><span class="pre">FigureCanvasBase.mpl_connect()</span></tt></a>. The following attributes
are defined and shown with their default values</p>
<dl class="docutils">
<dt><em>name</em></dt>
<dd>the event name</dd>
<dt><em>canvas</em></dt>
<dd>the FigureCanvas instance generating the event</dd>
<dt><em>guiEvent</em></dt>
<dd>the GUI event that triggered the matplotlib event</dd>
</dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.FigureCanvasBase">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">FigureCanvasBase</tt><big>(</big><em>figure</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <tt class="xref py py-class docutils literal"><span class="pre">object</span></tt></p>
<p>The canvas the figure renders into.</p>
<p>Public attributes</p>
<blockquote>
<div><dl class="docutils">
<dt><em>figure</em></dt>
<dd>A <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.figure.Figure</span></tt></a> instance</dd>
</dl>
</div></blockquote>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.blit">
<tt class="descname">blit</tt><big>(</big><em>bbox=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.blit" title="Permalink to this definition">¶</a></dt>
<dd><p>blit the canvas in bbox (default entire canvas)</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.button_press_event">
<tt class="descname">button_press_event</tt><big>(</big><em>x</em>, <em>y</em>, <em>button</em>, <em>dblclick=False</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.button_press_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function on any mouse
button press. x,y are the canvas coords: 0,0 is lower, left.
button and key are as defined in <a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a>.</p>
<p>This method will be call all functions connected to the
‘button_press_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> instance.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.button_release_event">
<tt class="descname">button_release_event</tt><big>(</big><em>x</em>, <em>y</em>, <em>button</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.button_release_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function on any mouse
button release.</p>
<dl class="docutils">
<dt><em>x</em></dt>
<dd>the canvas coordinates where 0=left</dd>
<dt><em>y</em></dt>
<dd>the canvas coordinates where 0=bottom</dd>
<dt><em>guiEvent</em></dt>
<dd>the native UI event that generated the mpl event</dd>
</dl>
<p>This method will be call all functions connected to the
‘button_release_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> instance.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.close_event">
<tt class="descname">close_event</tt><big>(</big><em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.close_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be called by all functions connected to the
‘close_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.CloseEvent" title="matplotlib.backend_bases.CloseEvent"><tt class="xref py py-class docutils literal"><span class="pre">CloseEvent</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.draw">
<tt class="descname">draw</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.draw" title="Permalink to this definition">¶</a></dt>
<dd><p>Render the <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><tt class="xref py py-class docutils literal"><span class="pre">Figure</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.draw_cursor">
<tt class="descname">draw_cursor</tt><big>(</big><em>event</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.draw_cursor" title="Permalink to this definition">¶</a></dt>
<dd><p>Draw a cursor in the event.axes if inaxes is not None. Use
native GUI drawing for efficiency if possible</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.draw_event">
<tt class="descname">draw_event</tt><big>(</big><em>renderer</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.draw_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be call all functions connected to the
‘draw_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.DrawEvent" title="matplotlib.backend_bases.DrawEvent"><tt class="xref py py-class docutils literal"><span class="pre">DrawEvent</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.draw_idle">
<tt class="descname">draw_idle</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.draw_idle" title="Permalink to this definition">¶</a></dt>
<dd><p><a class="reference internal" href="#matplotlib.backend_bases.FigureCanvasBase.draw" title="matplotlib.backend_bases.FigureCanvasBase.draw"><tt class="xref py py-meth docutils literal"><span class="pre">draw()</span></tt></a> only if idle; defaults to draw but backends can overrride</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.enter_notify_event">
<tt class="descname">enter_notify_event</tt><big>(</big><em>guiEvent=None</em>, <em>xy=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.enter_notify_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function when entering
canvas</p>
<dl class="docutils">
<dt><em>guiEvent</em></dt>
<dd>the native UI event that generated the mpl event</dd>
<dt><em>xy</em></dt>
<dd>the coordinate location of the pointer when the canvas is
entered</dd>
</dl>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.FigureCanvasBase.events">
<tt class="descname">events</tt><em class="property"> = ['resize_event', 'draw_event', 'key_press_event', 'key_release_event', 'button_press_event', 'button_release_event', 'scroll_event', 'motion_notify_event', 'pick_event', 'idle_event', 'figure_enter_event', 'figure_leave_event', 'axes_enter_event', 'axes_leave_event', 'close_event']</em><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.events" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.FigureCanvasBase.filetypes">
<tt class="descname">filetypes</tt><em class="property"> = {'pgf': 'LaTeX PGF Figure', 'svgz': 'Scalable Vector Graphics', 'tiff': 'Tagged Image File Format', 'jpg': 'Joint Photographic Experts Group', 'raw': 'Raw RGBA bitmap', 'jpeg': 'Joint Photographic Experts Group', 'png': 'Portable Network Graphics', 'ps': 'Postscript', 'svg': 'Scalable Vector Graphics', 'eps': 'Encapsulated Postscript', 'rgba': 'Raw RGBA bitmap', 'pdf': 'Portable Document Format', 'tif': 'Tagged Image File Format'}</em><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.filetypes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.flush_events">
<tt class="descname">flush_events</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.flush_events" title="Permalink to this definition">¶</a></dt>
<dd><p>Flush the GUI events for the figure. Implemented only for
backends with GUIs.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_default_filename">
<tt class="descname">get_default_filename</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_default_filename" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a string, which includes extension, suitable for use as
a default filename.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_default_filetype">
<tt class="descname">get_default_filetype</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_default_filetype" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the default savefig file format as specified in rcParam
<tt class="docutils literal"><span class="pre">savefig.format</span></tt>. Returned string excludes period. Overridden
in backends that only support a single file type.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_supported_filetypes">
<tt class="descname">get_supported_filetypes</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_supported_filetypes" title="Permalink to this definition">¶</a></dt>
<dd><p>Return dict of savefig file formats supported by this backend</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_supported_filetypes_grouped">
<tt class="descname">get_supported_filetypes_grouped</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_supported_filetypes_grouped" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a dict of savefig file formats supported by this backend,
where the keys are a file type name, such as ‘Joint Photographic
Experts Group’, and the values are a list of filename extensions used
for that filetype, such as [‘jpg’, ‘jpeg’].</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_width_height">
<tt class="descname">get_width_height</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_width_height" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the figure width and height in points or pixels
(depending on the backend), truncated to integers</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.get_window_title">
<tt class="descname">get_window_title</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.get_window_title" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the title text of the window containing the figure.
Return None if there is no window (eg, a PS backend).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.grab_mouse">
<tt class="descname">grab_mouse</tt><big>(</big><em>ax</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.grab_mouse" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the child axes which are currently grabbing the mouse events.
Usually called by the widgets themselves.
It is an error to call this if the mouse is already grabbed by
another axes.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.idle_event">
<tt class="descname">idle_event</tt><big>(</big><em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.idle_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Called when GUI is idle.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.is_saving">
<tt class="descname">is_saving</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.is_saving" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns <tt class="xref py py-obj docutils literal"><span class="pre">True</span></tt> when the renderer is in the process of saving
to a file, rather than rendering for an on-screen buffer.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.key_press_event">
<tt class="descname">key_press_event</tt><big>(</big><em>key</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.key_press_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be call all functions connected to the
‘key_press_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.KeyEvent" title="matplotlib.backend_bases.KeyEvent"><tt class="xref py py-class docutils literal"><span class="pre">KeyEvent</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.key_release_event">
<tt class="descname">key_release_event</tt><big>(</big><em>key</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.key_release_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be call all functions connected to the
‘key_release_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.KeyEvent" title="matplotlib.backend_bases.KeyEvent"><tt class="xref py py-class docutils literal"><span class="pre">KeyEvent</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.leave_notify_event">
<tt class="descname">leave_notify_event</tt><big>(</big><em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.leave_notify_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function when leaving
canvas</p>
<dl class="docutils">
<dt><em>guiEvent</em></dt>
<dd>the native UI event that generated the mpl event</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.motion_notify_event">
<tt class="descname">motion_notify_event</tt><big>(</big><em>x</em>, <em>y</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.motion_notify_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function on any
motion-notify-event.</p>
<dl class="docutils">
<dt><em>x</em></dt>
<dd>the canvas coordinates where 0=left</dd>
<dt><em>y</em></dt>
<dd>the canvas coordinates where 0=bottom</dd>
<dt><em>guiEvent</em></dt>
<dd>the native UI event that generated the mpl event</dd>
</dl>
<p>This method will be call all functions connected to the
‘motion_notify_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> instance.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.mpl_connect">
<tt class="descname">mpl_connect</tt><big>(</big><em>s</em>, <em>func</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.mpl_connect" title="Permalink to this definition">¶</a></dt>
<dd><p>Connect event with string <em>s</em> to <em>func</em>. The signature of <em>func</em> is:</p>
<div class="highlight-python"><pre>def func(event)</pre>
</div>
<p>where event is a <a class="reference internal" href="#matplotlib.backend_bases.Event" title="matplotlib.backend_bases.Event"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.backend_bases.Event</span></tt></a>. The
following events are recognized</p>
<ul class="simple">
<li>‘button_press_event’</li>
<li>‘button_release_event’</li>
<li>‘draw_event’</li>
<li>‘key_press_event’</li>
<li>‘key_release_event’</li>
<li>‘motion_notify_event’</li>
<li>‘pick_event’</li>
<li>‘resize_event’</li>
<li>‘scroll_event’</li>
<li>‘figure_enter_event’,</li>
<li>‘figure_leave_event’,</li>
<li>‘axes_enter_event’,</li>
<li>‘axes_leave_event’</li>
<li>‘close_event’</li>
</ul>
<p>For the location events (button and key press/release), if the
mouse is over the axes, the variable <tt class="docutils literal"><span class="pre">event.inaxes</span></tt> will be
set to the <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal"><span class="pre">Axes</span></tt></a> the event occurs is
over, and additionally, the variables <tt class="docutils literal"><span class="pre">event.xdata</span></tt> and
<tt class="docutils literal"><span class="pre">event.ydata</span></tt> will be defined. This is the mouse location
in data coords. See
<a class="reference internal" href="#matplotlib.backend_bases.KeyEvent" title="matplotlib.backend_bases.KeyEvent"><tt class="xref py py-class docutils literal"><span class="pre">KeyEvent</span></tt></a> and
<a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> for more info.</p>
<p>Return value is a connection id that can be used with
<tt class="xref py py-meth docutils literal"><span class="pre">mpl_disconnect()</span></tt>.</p>
<p>Example usage:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="k">def</span> <span class="nf">on_press</span><span class="p">(</span><span class="n">event</span><span class="p">):</span>
<span class="k">print</span><span class="p">(</span><span class="s">'you pressed'</span><span class="p">,</span> <span class="n">event</span><span class="o">.</span><span class="n">button</span><span class="p">,</span> <span class="n">event</span><span class="o">.</span><span class="n">xdata</span><span class="p">,</span> <span class="n">event</span><span class="o">.</span><span class="n">ydata</span><span class="p">)</span>
<span class="n">cid</span> <span class="o">=</span> <span class="n">canvas</span><span class="o">.</span><span class="n">mpl_connect</span><span class="p">(</span><span class="s">'button_press_event'</span><span class="p">,</span> <span class="n">on_press</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.mpl_disconnect">
<tt class="descname">mpl_disconnect</tt><big>(</big><em>cid</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.mpl_disconnect" title="Permalink to this definition">¶</a></dt>
<dd><p>Disconnect callback id cid</p>
<p>Example usage:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">cid</span> <span class="o">=</span> <span class="n">canvas</span><span class="o">.</span><span class="n">mpl_connect</span><span class="p">(</span><span class="s">'button_press_event'</span><span class="p">,</span> <span class="n">on_press</span><span class="p">)</span>
<span class="c">#...later</span>
<span class="n">canvas</span><span class="o">.</span><span class="n">mpl_disconnect</span><span class="p">(</span><span class="n">cid</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.new_timer">
<tt class="descname">new_timer</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.new_timer" title="Permalink to this definition">¶</a></dt>
<dd><p>Creates a new backend-specific subclass of
<tt class="xref py py-class docutils literal"><span class="pre">backend_bases.Timer</span></tt>. This is useful for getting periodic
events through the backend’s native event loop. Implemented only for
backends with GUIs.</p>
<p>optional arguments:</p>
<dl class="docutils">
<dt><em>interval</em></dt>
<dd>Timer interval in milliseconds</dd>
<dt><em>callbacks</em></dt>
<dd>Sequence of (func, args, kwargs) where func(<em>args, **kwargs) will
be executed by the timer every *interval</em>.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.onHilite">
<tt class="descname">onHilite</tt><big>(</big><em>ev</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.onHilite" title="Permalink to this definition">¶</a></dt>
<dd><p>Mouse event processor which highlights the artists
under the cursor. Connect this to the ‘motion_notify_event’
using:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">canvas</span><span class="o">.</span><span class="n">mpl_connect</span><span class="p">(</span><span class="s">'motion_notify_event'</span><span class="p">,</span><span class="n">canvas</span><span class="o">.</span><span class="n">onHilite</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.onRemove">
<tt class="descname">onRemove</tt><big>(</big><em>ev</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.onRemove" title="Permalink to this definition">¶</a></dt>
<dd><p>Mouse event processor which removes the top artist
under the cursor. Connect this to the ‘mouse_press_event’
using:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">canvas</span><span class="o">.</span><span class="n">mpl_connect</span><span class="p">(</span><span class="s">'mouse_press_event'</span><span class="p">,</span><span class="n">canvas</span><span class="o">.</span><span class="n">onRemove</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.pick">
<tt class="descname">pick</tt><big>(</big><em>mouseevent</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.pick" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.pick_event">
<tt class="descname">pick_event</tt><big>(</big><em>mouseevent</em>, <em>artist</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.pick_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be called by artists who are picked and will
fire off <a class="reference internal" href="#matplotlib.backend_bases.PickEvent" title="matplotlib.backend_bases.PickEvent"><tt class="xref py py-class docutils literal"><span class="pre">PickEvent</span></tt></a> callbacks registered listeners</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_bmp">
<tt class="descname">print_bmp</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_bmp" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_eps">
<tt class="descname">print_eps</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_eps" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_figure">
<tt class="descname">print_figure</tt><big>(</big><em>filename</em>, <em>dpi=None</em>, <em>facecolor='w'</em>, <em>edgecolor='w'</em>, <em>orientation='portrait'</em>, <em>format=None</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_figure" title="Permalink to this definition">¶</a></dt>
<dd><p>Render the figure to hardcopy. Set the figure patch face and edge
colors. This is useful because some of the GUIs have a gray figure
face color background and you’ll probably want to override this on
hardcopy.</p>
<p>Arguments are:</p>
<dl class="docutils">
<dt><em>filename</em></dt>
<dd>can also be a file object on image backends</dd>
<dt><em>orientation</em></dt>
<dd>only currently applies to PostScript printing.</dd>
<dt><em>dpi</em></dt>
<dd>the dots per inch to save the figure in; if None, use savefig.dpi</dd>
<dt><em>facecolor</em></dt>
<dd>the facecolor of the figure</dd>
<dt><em>edgecolor</em></dt>
<dd>the edgecolor of the figure</dd>
<dt><em>orientation</em></dt>
<dd>landscape’ | ‘portrait’ (not supported on all backends)</dd>
<dt><em>format</em></dt>
<dd>when set, forcibly set the file format to save to</dd>
<dt><em>bbox_inches</em></dt>
<dd>Bbox in inches. Only the given portion of the figure is
saved. If ‘tight’, try to figure out the tight bbox of
the figure. If None, use savefig.bbox</dd>
<dt><em>pad_inches</em></dt>
<dd>Amount of padding around the figure when bbox_inches is
‘tight’. If None, use savefig.pad_inches</dd>
<dt><em>bbox_extra_artists</em></dt>
<dd>A list of extra artists that will be considered when the
tight bbox is calculated.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_jpeg">
<tt class="descname">print_jpeg</tt><big>(</big><em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_jpeg" title="Permalink to this definition">¶</a></dt>
<dd><p>Supported kwargs:</p>
<dl class="docutils">
<dt><em>quality</em>: The image quality, on a scale from 1 (worst) to</dt>
<dd>95 (best). The default is 95, if not given in the
matplotlibrc file in the savefig.jpeg_quality parameter.
Values above 95 should be avoided; 100 completely
disables the JPEG quantization stage.</dd>
<dt><em>optimize</em>: If present, indicates that the encoder should</dt>
<dd>make an extra pass over the image in order to select
optimal encoder settings.</dd>
<dt><em>progressive</em>: If present, indicates that this image</dt>
<dd>should be stored as a progressive JPEG file.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_jpg">
<tt class="descname">print_jpg</tt><big>(</big><em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_jpg" title="Permalink to this definition">¶</a></dt>
<dd><p>Supported kwargs:</p>
<dl class="docutils">
<dt><em>quality</em>: The image quality, on a scale from 1 (worst) to</dt>
<dd>95 (best). The default is 95, if not given in the
matplotlibrc file in the savefig.jpeg_quality parameter.
Values above 95 should be avoided; 100 completely
disables the JPEG quantization stage.</dd>
<dt><em>optimize</em>: If present, indicates that the encoder should</dt>
<dd>make an extra pass over the image in order to select
optimal encoder settings.</dd>
<dt><em>progressive</em>: If present, indicates that this image</dt>
<dd>should be stored as a progressive JPEG file.</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_pdf">
<tt class="descname">print_pdf</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_pdf" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_pgf">
<tt class="descname">print_pgf</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_pgf" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_png">
<tt class="descname">print_png</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_png" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_ps">
<tt class="descname">print_ps</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_ps" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_raw">
<tt class="descname">print_raw</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_raw" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_rgba">
<tt class="descname">print_rgba</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_rgba" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_svg">
<tt class="descname">print_svg</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_svg" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_svgz">
<tt class="descname">print_svgz</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_svgz" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_tif">
<tt class="descname">print_tif</tt><big>(</big><em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_tif" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.print_tiff">
<tt class="descname">print_tiff</tt><big>(</big><em>filename_or_obj</em>, <em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.print_tiff" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.release_mouse">
<tt class="descname">release_mouse</tt><big>(</big><em>ax</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.release_mouse" title="Permalink to this definition">¶</a></dt>
<dd><p>Release the mouse grab held by the axes, ax.
Usually called by the widgets.
It is ok to call this even if you ax doesn’t have the mouse
grab currently.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.resize">
<tt class="descname">resize</tt><big>(</big><em>w</em>, <em>h</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.resize" title="Permalink to this definition">¶</a></dt>
<dd><p>set the canvas size in pixels</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.resize_event">
<tt class="descname">resize_event</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.resize_event" title="Permalink to this definition">¶</a></dt>
<dd><p>This method will be call all functions connected to the
‘resize_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.ResizeEvent" title="matplotlib.backend_bases.ResizeEvent"><tt class="xref py py-class docutils literal"><span class="pre">ResizeEvent</span></tt></a></p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.scroll_event">
<tt class="descname">scroll_event</tt><big>(</big><em>x</em>, <em>y</em>, <em>step</em>, <em>guiEvent=None</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.scroll_event" title="Permalink to this definition">¶</a></dt>
<dd><p>Backend derived classes should call this function on any
scroll wheel event. x,y are the canvas coords: 0,0 is lower,
left. button and key are as defined in MouseEvent.</p>
<p>This method will be call all functions connected to the
‘scroll_event’ with a <a class="reference internal" href="#matplotlib.backend_bases.MouseEvent" title="matplotlib.backend_bases.MouseEvent"><tt class="xref py py-class docutils literal"><span class="pre">MouseEvent</span></tt></a> instance.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.set_window_title">
<tt class="descname">set_window_title</tt><big>(</big><em>title</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.set_window_title" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the title text of the window containing the figure. Note that
this has no effect if there is no window (eg, a PS backend).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.start_event_loop">
<tt class="descname">start_event_loop</tt><big>(</big><em>timeout</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.start_event_loop" title="Permalink to this definition">¶</a></dt>
<dd><p>Start an event loop. This is used to start a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events. This should not be
confused with the main GUI event loop, which is always running
and has nothing to do with this.</p>
<p>This is implemented only for backends with GUIs.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.start_event_loop_default">
<tt class="descname">start_event_loop_default</tt><big>(</big><em>timeout=0</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.start_event_loop_default" title="Permalink to this definition">¶</a></dt>
<dd><p>Start an event loop. This is used to start a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events. This should not be
confused with the main GUI event loop, which is always running
and has nothing to do with this.</p>
<p>This function provides default event loop functionality based
on time.sleep that is meant to be used until event loop
functions for each of the GUI backends can be written. As
such, it throws a deprecated warning.</p>
<p>Call signature:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">start_event_loop_default</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">timeout</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
</pre></div>
</div>
<p>This call blocks until a callback function triggers
stop_event_loop() or <em>timeout</em> is reached. If <em>timeout</em> is
<=0, never timeout.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.stop_event_loop">
<tt class="descname">stop_event_loop</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.stop_event_loop" title="Permalink to this definition">¶</a></dt>
<dd><p>Stop an event loop. This is used to stop a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events.</p>
<p>This is implemented only for backends with GUIs.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.stop_event_loop_default">
<tt class="descname">stop_event_loop_default</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.stop_event_loop_default" title="Permalink to this definition">¶</a></dt>
<dd><p>Stop an event loop. This is used to stop a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events.</p>
<p>Call signature:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">stop_event_loop_default</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.FigureCanvasBase.supports_blit">
<tt class="descname">supports_blit</tt><em class="property"> = True</em><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.supports_blit" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureCanvasBase.switch_backends">
<tt class="descname">switch_backends</tt><big>(</big><em>FigureCanvasClass</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureCanvasBase.switch_backends" title="Permalink to this definition">¶</a></dt>
<dd><p>Instantiate an instance of FigureCanvasClass</p>
<p>This is used for backend switching, eg, to instantiate a
FigureCanvasPS from a FigureCanvasGTK. Note, deep copying is
not done, so any changes to one of the instances (eg, setting
figure size or line props), will be reflected in the other</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.FigureManagerBase">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">FigureManagerBase</tt><big>(</big><em>canvas</em>, <em>num</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase" title="Permalink to this definition">¶</a></dt>
<dd><p>Helper class for pyplot mode, wraps everything up into a neat bundle</p>
<p>Public attibutes:</p>
<dl class="docutils">
<dt><em>canvas</em></dt>
<dd>A <a class="reference internal" href="#matplotlib.backend_bases.FigureCanvasBase" title="matplotlib.backend_bases.FigureCanvasBase"><tt class="xref py py-class docutils literal"><span class="pre">FigureCanvasBase</span></tt></a> instance</dd>
<dt><em>num</em></dt>
<dd>The figure number</dd>
</dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.destroy">
<tt class="descname">destroy</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.destroy" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.full_screen_toggle">
<tt class="descname">full_screen_toggle</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.full_screen_toggle" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.get_window_title">
<tt class="descname">get_window_title</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.get_window_title" title="Permalink to this definition">¶</a></dt>
<dd><p>Get the title text of the window containing the figure.
Return None for non-GUI backends (eg, a PS backend).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.key_press">
<tt class="descname">key_press</tt><big>(</big><em>event</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.key_press" title="Permalink to this definition">¶</a></dt>
<dd><p>Implement the default mpl key bindings defined at
<a class="reference internal" href="../users/navigation_toolbar.html#key-event-handling"><em>Navigation Keyboard Shortcuts</em></a></p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.FigureManagerBase.key_press_handler_id">
<tt class="descname">key_press_handler_id</tt><em class="property"> = None</em><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.key_press_handler_id" title="Permalink to this definition">¶</a></dt>
<dd><p>The returned id from connecting the default key handler via
<tt class="xref py py-meth docutils literal"><span class="pre">FigureCanvasBase.mpl_connnect()</span></tt>.</p>
<p>To disable default key press handling:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">manager</span><span class="p">,</span> <span class="n">canvas</span> <span class="o">=</span> <span class="n">figure</span><span class="o">.</span><span class="n">canvas</span><span class="o">.</span><span class="n">manager</span><span class="p">,</span> <span class="n">figure</span><span class="o">.</span><span class="n">canvas</span>
<span class="n">canvas</span><span class="o">.</span><span class="n">mpl_disconnect</span><span class="p">(</span><span class="n">manager</span><span class="o">.</span><span class="n">key_press_handler_id</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.resize">
<tt class="descname">resize</tt><big>(</big><em>w</em>, <em>h</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.resize" title="Permalink to this definition">¶</a></dt>
<dd><p>“For gui backends, resize the window (in pixels).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.set_window_title">
<tt class="descname">set_window_title</tt><big>(</big><em>title</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.set_window_title" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the title text of the window containing the figure. Note that
this has no effect for non-GUI backends (eg, a PS backend).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.show">
<tt class="descname">show</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.show" title="Permalink to this definition">¶</a></dt>
<dd><p>For GUI backends, show the figure window and redraw.
For non-GUI backends, raise an exception to be caught
by <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.show" title="matplotlib.figure.Figure.show"><tt class="xref py py-meth docutils literal"><span class="pre">show()</span></tt></a>, for an
optional warning.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.FigureManagerBase.show_popup">
<tt class="descname">show_popup</tt><big>(</big><em>msg</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.FigureManagerBase.show_popup" title="Permalink to this definition">¶</a></dt>
<dd><p>Display message in a popup – GUI only</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.backend_bases.GraphicsContextBase">
<em class="property">class </em><tt class="descclassname">matplotlib.backend_bases.</tt><tt class="descname">GraphicsContextBase</tt><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase" title="Permalink to this definition">¶</a></dt>
<dd><p>An abstract base class that provides color, line styles, etc...</p>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.copy_properties">
<tt class="descname">copy_properties</tt><big>(</big><em>gc</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.copy_properties" title="Permalink to this definition">¶</a></dt>
<dd><p>Copy properties from gc to self</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.backend_bases.GraphicsContextBase.dashd">
<tt class="descname">dashd</tt><em class="property"> = {'solid': (None, None), 'dashed': (0, (6.0, 6.0)), 'dotted': (0, (1.0, 3.0)), 'dashdot': (0, (3.0, 5.0, 1.0, 5.0))}</em><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.dashd" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_alpha">
<tt class="descname">get_alpha</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_alpha" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the alpha value used for blending - not supported on
all backends</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_antialiased">
<tt class="descname">get_antialiased</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_antialiased" title="Permalink to this definition">¶</a></dt>
<dd><p>Return true if the object should try to do antialiased rendering</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_capstyle">
<tt class="descname">get_capstyle</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_capstyle" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the capstyle as a string in (‘butt’, ‘round’, ‘projecting’)</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_clip_path">
<tt class="descname">get_clip_path</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_clip_path" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the clip path in the form (path, transform), where path
is a <a class="reference internal" href="path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><tt class="xref py py-class docutils literal"><span class="pre">Path</span></tt></a> instance, and transform is
an affine transform to apply to the path before clipping.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_clip_rectangle">
<tt class="descname">get_clip_rectangle</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_clip_rectangle" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the clip rectangle as a <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Bbox" title="matplotlib.transforms.Bbox"><tt class="xref py py-class docutils literal"><span class="pre">Bbox</span></tt></a>
instance</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_dashes">
<tt class="descname">get_dashes</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_dashes" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the dash information as an offset dashlist tuple.</p>
<p>The dash list is a even size list that gives the ink on, ink
off in pixels.</p>
<p>See p107 of to PostScript <a class="reference external" href="http://www-cdf.fnal.gov/offline/PostScript/BLUEBOOK.PDF">BLUEBOOK</a>
for more info.</p>
<p>Default value is None</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_forced_alpha">
<tt class="descname">get_forced_alpha</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_forced_alpha" title="Permalink to this definition">¶</a></dt>
<dd><p>Return whether the value given by get_alpha() should be used to
override any other alpha-channel values.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_gid">
<tt class="descname">get_gid</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_gid" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the object identifier if one is set, None otherwise.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_hatch">
<tt class="descname">get_hatch</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_hatch" title="Permalink to this definition">¶</a></dt>
<dd><p>Gets the current hatch style</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_hatch_path">
<tt class="descname">get_hatch_path</tt><big>(</big><em>density=6.0</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_hatch_path" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a Path for the current hatch.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_joinstyle">
<tt class="descname">get_joinstyle</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_joinstyle" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the line join style as one of (‘miter’, ‘round’, ‘bevel’)</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_linestyle">
<tt class="descname">get_linestyle</tt><big>(</big><em>style</em><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_linestyle" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the linestyle: one of (‘solid’, ‘dashed’, ‘dashdot’,
‘dotted’).</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_linewidth">
<tt class="descname">get_linewidth</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_linewidth" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the line width in points as a scalar</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_rgb">
<tt class="descname">get_rgb</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_rgb" title="Permalink to this definition">¶</a></dt>
<dd><p>returns a tuple of three or four floats from 0-1.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_sketch_params">
<tt class="descname">get_sketch_params</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_sketch_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the sketch parameters for the artist.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns :</th><td class="field-body"><p class="first"><strong>sketch_params</strong> : tuple or <tt class="xref py py-obj docutils literal"><span class="pre">None</span></tt></p>
<p><strong>A 3-tuple with the following elements:</strong> :</p>
<blockquote>
<div><ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">scale</span></tt>: The amplitude of the wiggle perpendicular to the
source line.</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">length</span></tt>: The length of the wiggle along the line.</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">randomness</span></tt>: The scale factor by which the length is
shrunken or expanded.</li>
</ul>
</div></blockquote>
<p class="last"><strong>May return `None` if no sketch parameters were set.</strong> :</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.backend_bases.GraphicsContextBase.get_snap">
<tt class="descname">get_snap</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.backend_bases.GraphicsContextBase.get_snap" title="Permalink to this definition">¶</a></dt>
<dd><p>returns the snap setting which may be:</p>
<blockquote>
<div><ul class="simple">
<li>True: snap vertices to the nearest pixel center</li>
You can’t perform that action at this time.