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@header@
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="heading">
<tr bgcolor="#7799ee">
<td valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong><a href="matplotlib.html"><font color="#ffffff">matplotlib</font></a>.image</strong></big></big></font></td
><td align=right valign=bottom
><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="file:/usr/local/lib/python2.5/site-packages/matplotlib/image.py">/usr/local/lib/python2.5/site-packages/matplotlib/image.py</a></font></td></tr></table>
<p><tt>The image module supports basic image loading, rescaling and display<br>
operations.</tt></p>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#aa55cc">
<td colspan=3 valign=bottom> <br>
<font color="#fffff" face="helvetica, arial"><big><strong>Modules</strong></big></font></td></tr>
<tr><td bgcolor="#aa55cc"><tt> </tt></td><td> </td>
<td width="100%"><table width="100%" summary="list"><tr><td width="25%" valign=top><a href="matplotlib._image.html">matplotlib._image</a><br>
<a href="matplotlib.cm.html">matplotlib.cm</a><br>
</td><td width="25%" valign=top><a href="matplotlib.numerix.ma.html">matplotlib.numerix.ma</a><br>
<a href="matplotlib.numerix.html">matplotlib.numerix</a><br>
</td><td width="25%" valign=top><a href="os.html">os</a><br>
<a href="sys.html">sys</a><br>
</td><td width="25%" valign=top></td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ee77aa">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Classes</strong></big></font></td></tr>
<tr><td bgcolor="#ee77aa"><tt> </tt></td><td> </td>
<td width="100%"><dl>
<dt><font face="helvetica, arial"><a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#AxesImage">AxesImage</a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#NonUniformImage">NonUniformImage</a>
</font></dt></dl>
</dd>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#FigureImage">FigureImage</a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)
</font></dt></dl>
</dd>
<dt><font face="helvetica, arial"><a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#AxesImage">AxesImage</a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#NonUniformImage">NonUniformImage</a>
</font></dt></dl>
</dd>
<dt><font face="helvetica, arial"><a href="matplotlib.image.html#FigureImage">FigureImage</a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)
</font></dt></dl>
</dd>
</dl>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="AxesImage">class <strong>AxesImage</strong></a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)</font></td></tr>
<tr><td bgcolor="#ffc8d8"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt>Method resolution order:</dt>
<dd><a href="matplotlib.image.html#AxesImage">AxesImage</a></dd>
<dd><a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a></dd>
<dd><a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a></dd>
</dl>
<hr>
Methods defined here:<br>
<dl><dt><a name="AxesImage-__init__"><strong>__init__</strong></a>(self, ax, cmap<font color="#909090">=None</font>, norm<font color="#909090">=None</font>, interpolation<font color="#909090">=None</font>, origin<font color="#909090">=None</font>, extent<font color="#909090">=None</font>, filternorm<font color="#909090">=1</font>, filterrad<font color="#909090">=4.0</font>, **kwargs)</dt><dd><tt>interpolation and cmap default to their rc settings<br>
<br>
cmap is a colors.Colormap instance<br>
norm is a colors.Normalize instance to map luminance to 0-1<br>
<br>
extent is data axes (left, right, bottom, top) for making image plots<br>
registered with data plots. Default is to label the pixel<br>
centers with the zero-based row and column indices.<br>
<br>
Additional kwargs are matplotlib.artist properties</tt></dd></dl>
<dl><dt><a name="AxesImage-changed"><strong>changed</strong></a>(self)</dt><dd><tt>Call this whenever the mappable is changed so observers can<br>
update state</tt></dd></dl>
<dl><dt><a name="AxesImage-draw"><strong>draw</strong></a>(self, renderer, *args, **kwargs)</dt></dl>
<dl><dt><a name="AxesImage-get_extent"><strong>get_extent</strong></a>(self)</dt><dd><tt>get the image extent: left, right, bottom, top</tt></dd></dl>
<dl><dt><a name="AxesImage-get_filternorm"><strong>get_filternorm</strong></a>(self)</dt><dd><tt>return the filternorm setting</tt></dd></dl>
<dl><dt><a name="AxesImage-get_filterrad"><strong>get_filterrad</strong></a>(self)</dt><dd><tt>return the filterrad setting</tt></dd></dl>
<dl><dt><a name="AxesImage-get_interpolation"><strong>get_interpolation</strong></a>(self)</dt><dd><tt>Return the interpolation method the image uses when resizing.<br>
<br>
One of<br>
<br>
'bicubic', 'bilinear', 'blackman100', 'blackman256', 'blackman64',<br>
'nearest', 'sinc144', 'sinc256', 'sinc64', 'spline16', 'spline36'</tt></dd></dl>
<dl><dt><a name="AxesImage-get_size"><strong>get_size</strong></a>(self)</dt><dd><tt>Get the numrows, numcols of the input image</tt></dd></dl>
<dl><dt><a name="AxesImage-make_image"><strong>make_image</strong></a>(self, magnification<font color="#909090">=1.0</font>)</dt></dl>
<dl><dt><a name="AxesImage-pick"><strong>pick</strong></a>(self, mouseevent)</dt><dd><tt>return true if the data coords of mouse click are within the extent of the image</tt></dd></dl>
<dl><dt><a name="AxesImage-set_alpha"><strong>set_alpha</strong></a>(self, alpha)</dt><dd><tt>Set the alpha value used for blending - not supported on<br>
all backends<br>
<br>
ACCEPTS: float</tt></dd></dl>
<dl><dt><a name="AxesImage-set_array"><strong>set_array</strong></a>(self, A)</dt><dd><tt>retained for backwards compatibility - use set_data instead<br>
<br>
ACCEPTS: numeric/numarray/PIL Image A</tt></dd></dl>
<dl><dt><a name="AxesImage-set_data"><strong>set_data</strong></a>(self, A, shape<font color="#909090">=None</font>)</dt><dd><tt>Set the image array<br>
<br>
ACCEPTS: numpy/PIL Image A</tt></dd></dl>
<dl><dt><a name="AxesImage-set_filternorm"><strong>set_filternorm</strong></a>(self, filternorm)</dt><dd><tt>Set whether the resize filter norms the weights -- see<br>
help for imshow<br>
<br>
ACCEPTS: 0 or 1</tt></dd></dl>
<dl><dt><a name="AxesImage-set_filterrad"><strong>set_filterrad</strong></a>(self, filterrad)</dt><dd><tt>Set the resize filter radius only applicable to some<br>
interpolation schemes -- see help for imshow<br>
<br>
ACCEPTS: positive float</tt></dd></dl>
<dl><dt><a name="AxesImage-set_interpolation"><strong>set_interpolation</strong></a>(self, s)</dt><dd><tt>Set the interpolation method the image uses when resizing.<br>
<br>
ACCEPTS: ['bicubic' | 'bilinear' | 'blackman100' | 'blackman256' | 'blackman64', 'nearest' | 'sinc144' | 'sinc256' | 'sinc64' | 'spline16' | 'spline36']</tt></dd></dl>
<dl><dt><a name="AxesImage-write_png"><strong>write_png</strong></a>(self, fname, noscale<font color="#909090">=False</font>)</dt><dd><tt>Write the image to png file with fname</tt></dd></dl>
<hr>
Methods inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><a name="AxesImage-add_callback"><strong>add_callback</strong></a>(self, func)</dt></dl>
<dl><dt><a name="AxesImage-convert_xunits"><strong>convert_xunits</strong></a>(self, x)</dt><dd><tt>for artists in an axes, if the xaxis as units support,<br>
convert x using xaxis unit type</tt></dd></dl>
<dl><dt><a name="AxesImage-convert_yunits"><strong>convert_yunits</strong></a>(self, y)</dt><dd><tt>for artists in an axes, if the yaxis as units support,<br>
convert y using yaxis unit type</tt></dd></dl>
<dl><dt><a name="AxesImage-get_alpha"><strong>get_alpha</strong></a>(self)</dt><dd><tt>Return the alpha value used for blending - not supported on all<br>
backends</tt></dd></dl>
<dl><dt><a name="AxesImage-get_animated"><strong>get_animated</strong></a>(self)</dt><dd><tt>return the artist's animated state</tt></dd></dl>
<dl><dt><a name="AxesImage-get_axes"><strong>get_axes</strong></a>(self)</dt><dd><tt>return the axes instance the artist resides in, or None</tt></dd></dl>
<dl><dt><a name="AxesImage-get_clip_box"><strong>get_clip_box</strong></a>(self)</dt><dd><tt>Return artist clipbox</tt></dd></dl>
<dl><dt><a name="AxesImage-get_clip_on"><strong>get_clip_on</strong></a>(self)</dt><dd><tt>Return whether artist uses clipping</tt></dd></dl>
<dl><dt><a name="AxesImage-get_clip_path"><strong>get_clip_path</strong></a>(self)</dt><dd><tt>Return artist clip path</tt></dd></dl>
<dl><dt><a name="AxesImage-get_figure"><strong>get_figure</strong></a>(self)</dt><dd><tt>return the figure instance</tt></dd></dl>
<dl><dt><a name="AxesImage-get_label"><strong>get_label</strong></a>(self)</dt></dl>
<dl><dt><a name="AxesImage-get_picker"><strong>get_picker</strong></a>(self)</dt><dd><tt>return the Pickeration instance used by this artist</tt></dd></dl>
<dl><dt><a name="AxesImage-get_transform"><strong>get_transform</strong></a>(self)</dt><dd><tt>return the Transformation instance used by this artist</tt></dd></dl>
<dl><dt><a name="AxesImage-get_visible"><strong>get_visible</strong></a>(self)</dt><dd><tt>return the artist's visiblity</tt></dd></dl>
<dl><dt><a name="AxesImage-get_zorder"><strong>get_zorder</strong></a>(self)</dt></dl>
<dl><dt><a name="AxesImage-have_units"><strong>have_units</strong></a>(self)</dt><dd><tt>return True if units are set on the x or y axes</tt></dd></dl>
<dl><dt><a name="AxesImage-is_figure_set"><strong>is_figure_set</strong></a>(self)</dt></dl>
<dl><dt><a name="AxesImage-is_transform_set"><strong>is_transform_set</strong></a>(self)</dt><dd><tt><a href="matplotlib.artist.html#Artist">Artist</a> has transform explicity let</tt></dd></dl>
<dl><dt><a name="AxesImage-pchanged"><strong>pchanged</strong></a>(self)</dt><dd><tt>fire event when property changed</tt></dd></dl>
<dl><dt><a name="AxesImage-pickable"><strong>pickable</strong></a>(self)</dt><dd><tt>return True if self is pickable</tt></dd></dl>
<dl><dt><a name="AxesImage-remove_callback"><strong>remove_callback</strong></a>(self, oid)</dt></dl>
<dl><dt><a name="AxesImage-set"><strong>set</strong></a>(self, **kwargs)</dt><dd><tt>A tkstyle set command, pass kwargs to set properties</tt></dd></dl>
<dl><dt><a name="AxesImage-set_animated"><strong>set_animated</strong></a>(self, b)</dt><dd><tt>set the artist's animation state<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="AxesImage-set_axes"><strong>set_axes</strong></a>(self, axes)</dt><dd><tt>set the axes instance the artist resides in, if any<br>
<br>
ACCEPTS: an axes instance</tt></dd></dl>
<dl><dt><a name="AxesImage-set_clip_box"><strong>set_clip_box</strong></a>(self, clipbox)</dt><dd><tt>Set the artist's clip Bbox<br>
<br>
ACCEPTS: a matplotlib.transform.Bbox instance</tt></dd></dl>
<dl><dt><a name="AxesImage-set_clip_on"><strong>set_clip_on</strong></a>(self, b)</dt><dd><tt>Set whether artist uses clipping<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="AxesImage-set_clip_path"><strong>set_clip_path</strong></a>(self, path)</dt><dd><tt>Set the artist's clip path<br>
<br>
ACCEPTS: an agg.path_storage instance</tt></dd></dl>
<dl><dt><a name="AxesImage-set_figure"><strong>set_figure</strong></a>(self, fig)</dt><dd><tt>Set the figure instance the artist belong to<br>
<br>
ACCEPTS: a matplotlib.figure.Figure instance</tt></dd></dl>
<dl><dt><a name="AxesImage-set_label"><strong>set_label</strong></a>(self, s)</dt><dd><tt>Set the line label to s for auto legend<br>
<br>
ACCEPTS: any string</tt></dd></dl>
<dl><dt><a name="AxesImage-set_lod"><strong>set_lod</strong></a>(self, on)</dt><dd><tt>Set Level of Detail on or off. If on, the artists may examine<br>
things like the pixel width of the axes and draw a subset of<br>
their contents accordingly<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="AxesImage-set_picker"><strong>set_picker</strong></a>(self, picker)</dt><dd><tt>set the epsilon for picking used by this artist<br>
<br>
picker can be one of the following:<br>
<br>
None - picking is disabled for this artist (default)<br>
<br>
boolean - if True then picking will be enabled and the<br>
artist will fire a pick event if the mouse event is over<br>
the artist<br>
<br>
float - if picker is a number it is interpreted as an<br>
epsilon tolerance in points and the the artist will fire<br>
off an event if it's data is within epsilon of the mouse<br>
event. For some artists like lines and patch collections,<br>
the artist may provide additional data to the pick event<br>
that is generated, eg the indices of the data within<br>
epsilon of the pick event<br>
<br>
function - if picker is callable, it is a user supplied<br>
function which determines whether the artist is hit by the<br>
mouse event.<br>
<br>
hit, props = picker(artist, mouseevent)<br>
<br>
to determine the hit test. if the mouse event is over the<br>
artist, return hit=True and props is a dictionary of<br>
properties you want added to the PickEvent attributes<br>
<br>
ACCEPTS: [None|float|boolean|callable]</tt></dd></dl>
<dl><dt><a name="AxesImage-set_transform"><strong>set_transform</strong></a>(self, t)</dt><dd><tt>set the Transformation instance used by this artist<br>
<br>
ACCEPTS: a matplotlib.transform transformation instance</tt></dd></dl>
<dl><dt><a name="AxesImage-set_visible"><strong>set_visible</strong></a>(self, b)</dt><dd><tt>set the artist's visiblity<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="AxesImage-set_zorder"><strong>set_zorder</strong></a>(self, level)</dt><dd><tt>Set the zorder for the artist<br>
<br>
ACCEPTS: any number</tt></dd></dl>
<dl><dt><a name="AxesImage-update"><strong>update</strong></a>(self, props)</dt></dl>
<dl><dt><a name="AxesImage-update_from"><strong>update_from</strong></a>(self, other)</dt><dd><tt>copy properties from other to self</tt></dd></dl>
<hr>
Data and other attributes inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><strong>aname</strong> = 'Artist'</dl>
<dl><dt><strong>zorder</strong> = 0</dl>
<hr>
Methods inherited from <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>:<br>
<dl><dt><a name="AxesImage-add_observer"><strong>add_observer</strong></a>(self, mappable)</dt><dd><tt>whenever the norm, clim or cmap is set, call the notify<br>
instance of the mappable observer with self.<br>
<br>
This is designed to allow one image to follow changes in the<br>
cmap of another image</tt></dd></dl>
<dl><dt><a name="AxesImage-autoscale"><strong>autoscale</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array</tt></dd></dl>
<dl><dt><a name="AxesImage-autoscale_None"><strong>autoscale_None</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array, changing only limits that are None</tt></dd></dl>
<dl><dt><a name="AxesImage-get_array"><strong>get_array</strong></a>(self)</dt><dd><tt>Return the array</tt></dd></dl>
<dl><dt><a name="AxesImage-get_clim"><strong>get_clim</strong></a>(self)</dt><dd><tt>return the min, max of the color limits for image scaling</tt></dd></dl>
<dl><dt><a name="AxesImage-notify"><strong>notify</strong></a>(self, mappable)</dt><dd><tt>If this is called then we are pegged to another mappable.<br>
Update our cmap, norm, alpha from the other mappable.</tt></dd></dl>
<dl><dt><a name="AxesImage-set_clim"><strong>set_clim</strong></a>(self, vmin<font color="#909090">=None</font>, vmax<font color="#909090">=None</font>)</dt><dd><tt>set the norm limits for image scaling; if vmin is a length2<br>
sequence, interpret it as (vmin, vmax) which is used to<br>
support setp<br>
<br>
ACCEPTS: a length 2 sequence of floats</tt></dd></dl>
<dl><dt><a name="AxesImage-set_cmap"><strong>set_cmap</strong></a>(self, cmap)</dt><dd><tt>set the colormap for luminance data<br>
<br>
ACCEPTS: a colormap</tt></dd></dl>
<dl><dt><a name="AxesImage-set_colorbar"><strong>set_colorbar</strong></a>(self, im, ax)</dt><dd><tt>set the colorbar image and axes associated with mappable</tt></dd></dl>
<dl><dt><a name="AxesImage-set_norm"><strong>set_norm</strong></a>(self, norm)</dt><dd><tt>set the normalization instance</tt></dd></dl>
<dl><dt><a name="AxesImage-to_rgba"><strong>to_rgba</strong></a>(self, x, alpha<font color="#909090">=1.0</font>)</dt><dd><tt>Return a normalized rgba array corresponding to x.<br>
If x is already an rgb or rgba array, return it unchanged.</tt></dd></dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="FigureImage">class <strong>FigureImage</strong></a>(<a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>, <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>)</font></td></tr>
<tr><td bgcolor="#ffc8d8"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt>Method resolution order:</dt>
<dd><a href="matplotlib.image.html#FigureImage">FigureImage</a></dd>
<dd><a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a></dd>
<dd><a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a></dd>
</dl>
<hr>
Methods defined here:<br>
<dl><dt><a name="FigureImage-__init__"><strong>__init__</strong></a>(self, fig, cmap<font color="#909090">=None</font>, norm<font color="#909090">=None</font>, offsetx<font color="#909090">=0</font>, offsety<font color="#909090">=0</font>, origin<font color="#909090">=None</font>)</dt><dd><tt>cmap is a colors.Colormap instance<br>
norm is a colors.Normalize instance to map luminance to 0-1</tt></dd></dl>
<dl><dt><a name="FigureImage-draw"><strong>draw</strong></a>(self, renderer, *args, **kwargs)</dt></dl>
<dl><dt><a name="FigureImage-get_size"><strong>get_size</strong></a>(self)</dt><dd><tt>Get the numrows, numcols of the input image</tt></dd></dl>
<dl><dt><a name="FigureImage-make_image"><strong>make_image</strong></a>(self, magnification<font color="#909090">=1.0</font>)</dt></dl>
<dl><dt><a name="FigureImage-write_png"><strong>write_png</strong></a>(self, fname)</dt><dd><tt>Write the image to png file with fname</tt></dd></dl>
<hr>
Methods inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><a name="FigureImage-add_callback"><strong>add_callback</strong></a>(self, func)</dt></dl>
<dl><dt><a name="FigureImage-convert_xunits"><strong>convert_xunits</strong></a>(self, x)</dt><dd><tt>for artists in an axes, if the xaxis as units support,<br>
convert x using xaxis unit type</tt></dd></dl>
<dl><dt><a name="FigureImage-convert_yunits"><strong>convert_yunits</strong></a>(self, y)</dt><dd><tt>for artists in an axes, if the yaxis as units support,<br>
convert y using yaxis unit type</tt></dd></dl>
<dl><dt><a name="FigureImage-get_alpha"><strong>get_alpha</strong></a>(self)</dt><dd><tt>Return the alpha value used for blending - not supported on all<br>
backends</tt></dd></dl>
<dl><dt><a name="FigureImage-get_animated"><strong>get_animated</strong></a>(self)</dt><dd><tt>return the artist's animated state</tt></dd></dl>
<dl><dt><a name="FigureImage-get_axes"><strong>get_axes</strong></a>(self)</dt><dd><tt>return the axes instance the artist resides in, or None</tt></dd></dl>
<dl><dt><a name="FigureImage-get_clip_box"><strong>get_clip_box</strong></a>(self)</dt><dd><tt>Return artist clipbox</tt></dd></dl>
<dl><dt><a name="FigureImage-get_clip_on"><strong>get_clip_on</strong></a>(self)</dt><dd><tt>Return whether artist uses clipping</tt></dd></dl>
<dl><dt><a name="FigureImage-get_clip_path"><strong>get_clip_path</strong></a>(self)</dt><dd><tt>Return artist clip path</tt></dd></dl>
<dl><dt><a name="FigureImage-get_figure"><strong>get_figure</strong></a>(self)</dt><dd><tt>return the figure instance</tt></dd></dl>
<dl><dt><a name="FigureImage-get_label"><strong>get_label</strong></a>(self)</dt></dl>
<dl><dt><a name="FigureImage-get_picker"><strong>get_picker</strong></a>(self)</dt><dd><tt>return the Pickeration instance used by this artist</tt></dd></dl>
<dl><dt><a name="FigureImage-get_transform"><strong>get_transform</strong></a>(self)</dt><dd><tt>return the Transformation instance used by this artist</tt></dd></dl>
<dl><dt><a name="FigureImage-get_visible"><strong>get_visible</strong></a>(self)</dt><dd><tt>return the artist's visiblity</tt></dd></dl>
<dl><dt><a name="FigureImage-get_zorder"><strong>get_zorder</strong></a>(self)</dt></dl>
<dl><dt><a name="FigureImage-have_units"><strong>have_units</strong></a>(self)</dt><dd><tt>return True if units are set on the x or y axes</tt></dd></dl>
<dl><dt><a name="FigureImage-is_figure_set"><strong>is_figure_set</strong></a>(self)</dt></dl>
<dl><dt><a name="FigureImage-is_transform_set"><strong>is_transform_set</strong></a>(self)</dt><dd><tt><a href="matplotlib.artist.html#Artist">Artist</a> has transform explicity let</tt></dd></dl>
<dl><dt><a name="FigureImage-pchanged"><strong>pchanged</strong></a>(self)</dt><dd><tt>fire event when property changed</tt></dd></dl>
<dl><dt><a name="FigureImage-pick"><strong>pick</strong></a>(self, mouseevent)</dt><dd><tt>the user picked location x,y; if this <a href="matplotlib.artist.html#Artist">Artist</a> is within picker<br>
"pick epsilon" of x,y fire off a pick event</tt></dd></dl>
<dl><dt><a name="FigureImage-pickable"><strong>pickable</strong></a>(self)</dt><dd><tt>return True if self is pickable</tt></dd></dl>
<dl><dt><a name="FigureImage-remove_callback"><strong>remove_callback</strong></a>(self, oid)</dt></dl>
<dl><dt><a name="FigureImage-set"><strong>set</strong></a>(self, **kwargs)</dt><dd><tt>A tkstyle set command, pass kwargs to set properties</tt></dd></dl>
<dl><dt><a name="FigureImage-set_alpha"><strong>set_alpha</strong></a>(self, alpha)</dt><dd><tt>Set the alpha value used for blending - not supported on<br>
all backends<br>
<br>
ACCEPTS: float</tt></dd></dl>
<dl><dt><a name="FigureImage-set_animated"><strong>set_animated</strong></a>(self, b)</dt><dd><tt>set the artist's animation state<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="FigureImage-set_axes"><strong>set_axes</strong></a>(self, axes)</dt><dd><tt>set the axes instance the artist resides in, if any<br>
<br>
ACCEPTS: an axes instance</tt></dd></dl>
<dl><dt><a name="FigureImage-set_clip_box"><strong>set_clip_box</strong></a>(self, clipbox)</dt><dd><tt>Set the artist's clip Bbox<br>
<br>
ACCEPTS: a matplotlib.transform.Bbox instance</tt></dd></dl>
<dl><dt><a name="FigureImage-set_clip_on"><strong>set_clip_on</strong></a>(self, b)</dt><dd><tt>Set whether artist uses clipping<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="FigureImage-set_clip_path"><strong>set_clip_path</strong></a>(self, path)</dt><dd><tt>Set the artist's clip path<br>
<br>
ACCEPTS: an agg.path_storage instance</tt></dd></dl>
<dl><dt><a name="FigureImage-set_figure"><strong>set_figure</strong></a>(self, fig)</dt><dd><tt>Set the figure instance the artist belong to<br>
<br>
ACCEPTS: a matplotlib.figure.Figure instance</tt></dd></dl>
<dl><dt><a name="FigureImage-set_label"><strong>set_label</strong></a>(self, s)</dt><dd><tt>Set the line label to s for auto legend<br>
<br>
ACCEPTS: any string</tt></dd></dl>
<dl><dt><a name="FigureImage-set_lod"><strong>set_lod</strong></a>(self, on)</dt><dd><tt>Set Level of Detail on or off. If on, the artists may examine<br>
things like the pixel width of the axes and draw a subset of<br>
their contents accordingly<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="FigureImage-set_picker"><strong>set_picker</strong></a>(self, picker)</dt><dd><tt>set the epsilon for picking used by this artist<br>
<br>
picker can be one of the following:<br>
<br>
None - picking is disabled for this artist (default)<br>
<br>
boolean - if True then picking will be enabled and the<br>
artist will fire a pick event if the mouse event is over<br>
the artist<br>
<br>
float - if picker is a number it is interpreted as an<br>
epsilon tolerance in points and the the artist will fire<br>
off an event if it's data is within epsilon of the mouse<br>
event. For some artists like lines and patch collections,<br>
the artist may provide additional data to the pick event<br>
that is generated, eg the indices of the data within<br>
epsilon of the pick event<br>
<br>
function - if picker is callable, it is a user supplied<br>
function which determines whether the artist is hit by the<br>
mouse event.<br>
<br>
hit, props = picker(artist, mouseevent)<br>
<br>
to determine the hit test. if the mouse event is over the<br>
artist, return hit=True and props is a dictionary of<br>
properties you want added to the PickEvent attributes<br>
<br>
ACCEPTS: [None|float|boolean|callable]</tt></dd></dl>
<dl><dt><a name="FigureImage-set_transform"><strong>set_transform</strong></a>(self, t)</dt><dd><tt>set the Transformation instance used by this artist<br>
<br>
ACCEPTS: a matplotlib.transform transformation instance</tt></dd></dl>
<dl><dt><a name="FigureImage-set_visible"><strong>set_visible</strong></a>(self, b)</dt><dd><tt>set the artist's visiblity<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="FigureImage-set_zorder"><strong>set_zorder</strong></a>(self, level)</dt><dd><tt>Set the zorder for the artist<br>
<br>
ACCEPTS: any number</tt></dd></dl>
<dl><dt><a name="FigureImage-update"><strong>update</strong></a>(self, props)</dt></dl>
<dl><dt><a name="FigureImage-update_from"><strong>update_from</strong></a>(self, other)</dt><dd><tt>copy properties from other to self</tt></dd></dl>
<hr>
Data and other attributes inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><strong>aname</strong> = 'Artist'</dl>
<dl><dt><strong>zorder</strong> = 0</dl>
<hr>
Methods inherited from <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>:<br>
<dl><dt><a name="FigureImage-add_observer"><strong>add_observer</strong></a>(self, mappable)</dt><dd><tt>whenever the norm, clim or cmap is set, call the notify<br>
instance of the mappable observer with self.<br>
<br>
This is designed to allow one image to follow changes in the<br>
cmap of another image</tt></dd></dl>
<dl><dt><a name="FigureImage-autoscale"><strong>autoscale</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array</tt></dd></dl>
<dl><dt><a name="FigureImage-autoscale_None"><strong>autoscale_None</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array, changing only limits that are None</tt></dd></dl>
<dl><dt><a name="FigureImage-changed"><strong>changed</strong></a>(self)</dt><dd><tt>Call this whenever the mappable is changed so observers can<br>
update state</tt></dd></dl>
<dl><dt><a name="FigureImage-get_array"><strong>get_array</strong></a>(self)</dt><dd><tt>Return the array</tt></dd></dl>
<dl><dt><a name="FigureImage-get_clim"><strong>get_clim</strong></a>(self)</dt><dd><tt>return the min, max of the color limits for image scaling</tt></dd></dl>
<dl><dt><a name="FigureImage-notify"><strong>notify</strong></a>(self, mappable)</dt><dd><tt>If this is called then we are pegged to another mappable.<br>
Update our cmap, norm, alpha from the other mappable.</tt></dd></dl>
<dl><dt><a name="FigureImage-set_array"><strong>set_array</strong></a>(self, A)</dt><dd><tt>Set the image array from numeric/numarray A</tt></dd></dl>
<dl><dt><a name="FigureImage-set_clim"><strong>set_clim</strong></a>(self, vmin<font color="#909090">=None</font>, vmax<font color="#909090">=None</font>)</dt><dd><tt>set the norm limits for image scaling; if vmin is a length2<br>
sequence, interpret it as (vmin, vmax) which is used to<br>
support setp<br>
<br>
ACCEPTS: a length 2 sequence of floats</tt></dd></dl>
<dl><dt><a name="FigureImage-set_cmap"><strong>set_cmap</strong></a>(self, cmap)</dt><dd><tt>set the colormap for luminance data<br>
<br>
ACCEPTS: a colormap</tt></dd></dl>
<dl><dt><a name="FigureImage-set_colorbar"><strong>set_colorbar</strong></a>(self, im, ax)</dt><dd><tt>set the colorbar image and axes associated with mappable</tt></dd></dl>
<dl><dt><a name="FigureImage-set_norm"><strong>set_norm</strong></a>(self, norm)</dt><dd><tt>set the normalization instance</tt></dd></dl>
<dl><dt><a name="FigureImage-to_rgba"><strong>to_rgba</strong></a>(self, x, alpha<font color="#909090">=1.0</font>)</dt><dd><tt>Return a normalized rgba array corresponding to x.<br>
If x is already an rgb or rgba array, return it unchanged.</tt></dd></dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="NonUniformImage">class <strong>NonUniformImage</strong></a>(<a href="matplotlib.image.html#AxesImage">AxesImage</a>)</font></td></tr>
<tr><td bgcolor="#ffc8d8"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt>Method resolution order:</dt>
<dd><a href="matplotlib.image.html#NonUniformImage">NonUniformImage</a></dd>
<dd><a href="matplotlib.image.html#AxesImage">AxesImage</a></dd>
<dd><a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a></dd>
<dd><a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a></dd>
</dl>
<hr>
Methods defined here:<br>
<dl><dt><a name="NonUniformImage-__init__"><strong>__init__</strong></a>(self, ax, cmap<font color="#909090">=None</font>, norm<font color="#909090">=None</font>, extent<font color="#909090">=None</font>)</dt></dl>
<dl><dt><a name="NonUniformImage-get_extent"><strong>get_extent</strong></a>(self)</dt></dl>
<dl><dt><a name="NonUniformImage-make_image"><strong>make_image</strong></a>(self, magnification<font color="#909090">=1.0</font>)</dt></dl>
<dl><dt><a name="NonUniformImage-set_array"><strong>set_array</strong></a>(self, *args)</dt></dl>
<dl><dt><a name="NonUniformImage-set_cmap"><strong>set_cmap</strong></a>(self, cmap)</dt></dl>
<dl><dt><a name="NonUniformImage-set_data"><strong>set_data</strong></a>(self, x, y, A)</dt></dl>
<dl><dt><a name="NonUniformImage-set_filternorm"><strong>set_filternorm</strong></a>(self, s)</dt></dl>
<dl><dt><a name="NonUniformImage-set_filterrad"><strong>set_filterrad</strong></a>(self, s)</dt></dl>
<dl><dt><a name="NonUniformImage-set_interpolation"><strong>set_interpolation</strong></a>(self, s)</dt></dl>
<dl><dt><a name="NonUniformImage-set_norm"><strong>set_norm</strong></a>(self, norm)</dt></dl>
<hr>
Methods inherited from <a href="matplotlib.image.html#AxesImage">AxesImage</a>:<br>
<dl><dt><a name="NonUniformImage-changed"><strong>changed</strong></a>(self)</dt><dd><tt>Call this whenever the mappable is changed so observers can<br>
update state</tt></dd></dl>
<dl><dt><a name="NonUniformImage-draw"><strong>draw</strong></a>(self, renderer, *args, **kwargs)</dt></dl>
<dl><dt><a name="NonUniformImage-get_filternorm"><strong>get_filternorm</strong></a>(self)</dt><dd><tt>return the filternorm setting</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_filterrad"><strong>get_filterrad</strong></a>(self)</dt><dd><tt>return the filterrad setting</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_interpolation"><strong>get_interpolation</strong></a>(self)</dt><dd><tt>Return the interpolation method the image uses when resizing.<br>
<br>
One of<br>
<br>
'bicubic', 'bilinear', 'blackman100', 'blackman256', 'blackman64',<br>
'nearest', 'sinc144', 'sinc256', 'sinc64', 'spline16', 'spline36'</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_size"><strong>get_size</strong></a>(self)</dt><dd><tt>Get the numrows, numcols of the input image</tt></dd></dl>
<dl><dt><a name="NonUniformImage-pick"><strong>pick</strong></a>(self, mouseevent)</dt><dd><tt>return true if the data coords of mouse click are within the extent of the image</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_alpha"><strong>set_alpha</strong></a>(self, alpha)</dt><dd><tt>Set the alpha value used for blending - not supported on<br>
all backends<br>
<br>
ACCEPTS: float</tt></dd></dl>
<dl><dt><a name="NonUniformImage-write_png"><strong>write_png</strong></a>(self, fname, noscale<font color="#909090">=False</font>)</dt><dd><tt>Write the image to png file with fname</tt></dd></dl>
<hr>
Methods inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><a name="NonUniformImage-add_callback"><strong>add_callback</strong></a>(self, func)</dt></dl>
<dl><dt><a name="NonUniformImage-convert_xunits"><strong>convert_xunits</strong></a>(self, x)</dt><dd><tt>for artists in an axes, if the xaxis as units support,<br>
convert x using xaxis unit type</tt></dd></dl>
<dl><dt><a name="NonUniformImage-convert_yunits"><strong>convert_yunits</strong></a>(self, y)</dt><dd><tt>for artists in an axes, if the yaxis as units support,<br>
convert y using yaxis unit type</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_alpha"><strong>get_alpha</strong></a>(self)</dt><dd><tt>Return the alpha value used for blending - not supported on all<br>
backends</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_animated"><strong>get_animated</strong></a>(self)</dt><dd><tt>return the artist's animated state</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_axes"><strong>get_axes</strong></a>(self)</dt><dd><tt>return the axes instance the artist resides in, or None</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_clip_box"><strong>get_clip_box</strong></a>(self)</dt><dd><tt>Return artist clipbox</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_clip_on"><strong>get_clip_on</strong></a>(self)</dt><dd><tt>Return whether artist uses clipping</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_clip_path"><strong>get_clip_path</strong></a>(self)</dt><dd><tt>Return artist clip path</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_figure"><strong>get_figure</strong></a>(self)</dt><dd><tt>return the figure instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_label"><strong>get_label</strong></a>(self)</dt></dl>
<dl><dt><a name="NonUniformImage-get_picker"><strong>get_picker</strong></a>(self)</dt><dd><tt>return the Pickeration instance used by this artist</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_transform"><strong>get_transform</strong></a>(self)</dt><dd><tt>return the Transformation instance used by this artist</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_visible"><strong>get_visible</strong></a>(self)</dt><dd><tt>return the artist's visiblity</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_zorder"><strong>get_zorder</strong></a>(self)</dt></dl>
<dl><dt><a name="NonUniformImage-have_units"><strong>have_units</strong></a>(self)</dt><dd><tt>return True if units are set on the x or y axes</tt></dd></dl>
<dl><dt><a name="NonUniformImage-is_figure_set"><strong>is_figure_set</strong></a>(self)</dt></dl>
<dl><dt><a name="NonUniformImage-is_transform_set"><strong>is_transform_set</strong></a>(self)</dt><dd><tt><a href="matplotlib.artist.html#Artist">Artist</a> has transform explicity let</tt></dd></dl>
<dl><dt><a name="NonUniformImage-pchanged"><strong>pchanged</strong></a>(self)</dt><dd><tt>fire event when property changed</tt></dd></dl>
<dl><dt><a name="NonUniformImage-pickable"><strong>pickable</strong></a>(self)</dt><dd><tt>return True if self is pickable</tt></dd></dl>
<dl><dt><a name="NonUniformImage-remove_callback"><strong>remove_callback</strong></a>(self, oid)</dt></dl>
<dl><dt><a name="NonUniformImage-set"><strong>set</strong></a>(self, **kwargs)</dt><dd><tt>A tkstyle set command, pass kwargs to set properties</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_animated"><strong>set_animated</strong></a>(self, b)</dt><dd><tt>set the artist's animation state<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_axes"><strong>set_axes</strong></a>(self, axes)</dt><dd><tt>set the axes instance the artist resides in, if any<br>
<br>
ACCEPTS: an axes instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_clip_box"><strong>set_clip_box</strong></a>(self, clipbox)</dt><dd><tt>Set the artist's clip Bbox<br>
<br>
ACCEPTS: a matplotlib.transform.Bbox instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_clip_on"><strong>set_clip_on</strong></a>(self, b)</dt><dd><tt>Set whether artist uses clipping<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_clip_path"><strong>set_clip_path</strong></a>(self, path)</dt><dd><tt>Set the artist's clip path<br>
<br>
ACCEPTS: an agg.path_storage instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_figure"><strong>set_figure</strong></a>(self, fig)</dt><dd><tt>Set the figure instance the artist belong to<br>
<br>
ACCEPTS: a matplotlib.figure.Figure instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_label"><strong>set_label</strong></a>(self, s)</dt><dd><tt>Set the line label to s for auto legend<br>
<br>
ACCEPTS: any string</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_lod"><strong>set_lod</strong></a>(self, on)</dt><dd><tt>Set Level of Detail on or off. If on, the artists may examine<br>
things like the pixel width of the axes and draw a subset of<br>
their contents accordingly<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_picker"><strong>set_picker</strong></a>(self, picker)</dt><dd><tt>set the epsilon for picking used by this artist<br>
<br>
picker can be one of the following:<br>
<br>
None - picking is disabled for this artist (default)<br>
<br>
boolean - if True then picking will be enabled and the<br>
artist will fire a pick event if the mouse event is over<br>
the artist<br>
<br>
float - if picker is a number it is interpreted as an<br>
epsilon tolerance in points and the the artist will fire<br>
off an event if it's data is within epsilon of the mouse<br>
event. For some artists like lines and patch collections,<br>
the artist may provide additional data to the pick event<br>
that is generated, eg the indices of the data within<br>
epsilon of the pick event<br>
<br>
function - if picker is callable, it is a user supplied<br>
function which determines whether the artist is hit by the<br>
mouse event.<br>
<br>
hit, props = picker(artist, mouseevent)<br>
<br>
to determine the hit test. if the mouse event is over the<br>
artist, return hit=True and props is a dictionary of<br>
properties you want added to the PickEvent attributes<br>
<br>
ACCEPTS: [None|float|boolean|callable]</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_transform"><strong>set_transform</strong></a>(self, t)</dt><dd><tt>set the Transformation instance used by this artist<br>
<br>
ACCEPTS: a matplotlib.transform transformation instance</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_visible"><strong>set_visible</strong></a>(self, b)</dt><dd><tt>set the artist's visiblity<br>
<br>
ACCEPTS: [True | False]</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_zorder"><strong>set_zorder</strong></a>(self, level)</dt><dd><tt>Set the zorder for the artist<br>
<br>
ACCEPTS: any number</tt></dd></dl>
<dl><dt><a name="NonUniformImage-update"><strong>update</strong></a>(self, props)</dt></dl>
<dl><dt><a name="NonUniformImage-update_from"><strong>update_from</strong></a>(self, other)</dt><dd><tt>copy properties from other to self</tt></dd></dl>
<hr>
Data and other attributes inherited from <a href="matplotlib.artist.html#Artist">matplotlib.artist.Artist</a>:<br>
<dl><dt><strong>aname</strong> = 'Artist'</dl>
<dl><dt><strong>zorder</strong> = 0</dl>
<hr>
Methods inherited from <a href="matplotlib.cm.html#ScalarMappable">matplotlib.cm.ScalarMappable</a>:<br>
<dl><dt><a name="NonUniformImage-add_observer"><strong>add_observer</strong></a>(self, mappable)</dt><dd><tt>whenever the norm, clim or cmap is set, call the notify<br>
instance of the mappable observer with self.<br>
<br>
This is designed to allow one image to follow changes in the<br>
cmap of another image</tt></dd></dl>
<dl><dt><a name="NonUniformImage-autoscale"><strong>autoscale</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array</tt></dd></dl>
<dl><dt><a name="NonUniformImage-autoscale_None"><strong>autoscale_None</strong></a>(self)</dt><dd><tt>Autoscale the scalar limits on the norm instance using the<br>
current array, changing only limits that are None</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_array"><strong>get_array</strong></a>(self)</dt><dd><tt>Return the array</tt></dd></dl>
<dl><dt><a name="NonUniformImage-get_clim"><strong>get_clim</strong></a>(self)</dt><dd><tt>return the min, max of the color limits for image scaling</tt></dd></dl>
<dl><dt><a name="NonUniformImage-notify"><strong>notify</strong></a>(self, mappable)</dt><dd><tt>If this is called then we are pegged to another mappable.<br>
Update our cmap, norm, alpha from the other mappable.</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_clim"><strong>set_clim</strong></a>(self, vmin<font color="#909090">=None</font>, vmax<font color="#909090">=None</font>)</dt><dd><tt>set the norm limits for image scaling; if vmin is a length2<br>
sequence, interpret it as (vmin, vmax) which is used to<br>
support setp<br>
<br>
ACCEPTS: a length 2 sequence of floats</tt></dd></dl>
<dl><dt><a name="NonUniformImage-set_colorbar"><strong>set_colorbar</strong></a>(self, im, ax)</dt><dd><tt>set the colorbar image and axes associated with mappable</tt></dd></dl>
<dl><dt><a name="NonUniformImage-to_rgba"><strong>to_rgba</strong></a>(self, x, alpha<font color="#909090">=1.0</font>)</dt><dd><tt>Return a normalized rgba array corresponding to x.<br>
If x is already an rgb or rgba array, return it unchanged.</tt></dd></dl>
</td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#eeaa77">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Functions</strong></big></font></td></tr>
<tr><td bgcolor="#eeaa77"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt><a name="-imread"><strong>imread</strong></a>(fname)</dt><dd><tt>return image file in fname as numerix array<br>
<br>
Return value is a MxNx4 array of 0-1 normalized floats</tt></dd></dl>
<dl><dt><a name="-pil_to_array"><strong>pil_to_array</strong></a>(pilImage)</dt></dl>
</td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#55aa55">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Data</strong></big></font></td></tr>
<tr><td bgcolor="#55aa55"><tt> </tt></td><td> </td>
<td width="100%"><strong>Float32</strong> = 'f'<br>
<strong>NewAxis</strong> = None<br>
<strong>UInt8</strong> = 'B'<br>
<strong>colorConverter</strong> = <matplotlib.colors.ColorConverter instance at 0x8456eec><br>
<strong>division</strong> = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)<br>
<strong>rcParams</strong> = {'axes.axisbelow': False, 'axes.edgecolor': 'k', 'axes.facecolor': 'w', 'axes.formatter.limits': (-7, 7), 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'k', 'axes.labelsize': 12, 'axes.linewidth': 1.0, 'axes.titlesize': 14, ...}</td></tr></table>
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