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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/lib/python2.4/site-packages/matplotlib/image.py">/usr/lib/python2.4/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.html">matplotlib.numerix</a><br>
<a href="os.html">os</a><br>
</td><td width="25%" valign=top><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><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><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>, aspect<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>)</dt><dd><tt>aspect, interpolation and cmap default to their rc setting<br>
<br>
cmap is a cm colormap instance<br>
norm is a colors.normalize instance to map luminance to 0-1<br>
<br>
extent is a data xmin, xmax, ymin, ymax for making image plots<br>
registered with data plots. Default is the image dimensions<br>
in pixels</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_aspect"><strong>get_aspect</strong></a>(self)</dt><dd><tt>Return the method used to constrain the aspoect ratio of the<br>
One of<br>
<br>
'free' : aspect ratio not constrained<br>
'preserve' : preserve aspect ratio when resizing</tt></dd></dl>
<dl><dt><a name="AxesImage-get_extent"><strong>get_extent</strong></a>(self)</dt><dd><tt>get the image extent: xmin, xmax, ymin, ymax</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, flipy)</dt></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_aspect"><strong>set_aspect</strong></a>(self, s)</dt><dd><tt>Set the method used to constrain the aspoect ratio of the<br>
image ehen resizing,<br>
<br>
ACCEPTS ['free' | 'preserve']</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: numeric/numarray/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 help for imshow<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)</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-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_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_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_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-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-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_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_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_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-get_array"><strong>get_array</strong></a>(self)</dt><dd><tt>Return the array</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 the cmap, norm accordingly</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</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</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></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 cm 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)</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-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_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_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_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-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-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_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_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_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-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-notify"><strong>notify</strong></a>(self, mappable)</dt><dd><tt>If this is called then we are pegged to another mappable.<br>
Update the cmap, norm accordingly</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</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</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></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="-arange"><strong>arange</strong></a>(...)</dt><dd><tt><a href="#-arange">arange</a>(start, stop=None, step=1, typecode=None)<br>
<br>
Just like range() except it returns an array whose type can be<br>
specified by the keyword argument typecode.</tt></dd></dl>
<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>UInt8</strong> = 'b'<br>
<strong>colorConverter</strong> = <matplotlib.colors.ColorConverter instance><br>
<strong>division</strong> = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)<br>
<strong>rcParams</strong> = {'axes.edgecolor': 'black', 'axes.facecolor': 'white', 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'black', 'axes.labelsize': 12.0, 'axes.linewidth': 1.0, 'axes.titlesize': 14.0, 'backend': 'TkAgg', 'datapath': '/usr/share/matplotlib', ...}</td></tr></table>
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