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<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong><a href="matplotlib.html"><font color="#ffffff">matplotlib</font></a>.cm</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/python2.3/site-packages/matplotlib/cm.py">/usr/local/lib/python2.3/site-packages/matplotlib/cm.py</a></font></td></tr></table>
<p><tt>This module contains the instantiations of color mapping classes</tt></p>
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<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.colors.html">matplotlib.colors</a><br>
</td><td width="25%" valign=top><a href="sys.html">sys</a><br>
</td><td width="25%" valign=top></td><td width="25%" valign=top></td></tr></table></td></tr></table><p>
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<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.cm.html#ScalarMappable">ScalarMappable</a>
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<font color="#000000" face="helvetica, arial"><a name="ScalarMappable">class <strong>ScalarMappable</strong></a></font></td></tr>
<tr bgcolor="#ffc8d8"><td rowspan=2><tt> </tt></td>
<td colspan=2><tt>This is a mixin class to support scalar -> RGBA mapping. Handles<br>
normalization and colormapping<br> </tt></td></tr>
<tr><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="ScalarMappable-__init__"><strong>__init__</strong></a>(self, norm<font color="#909090">=None</font>, cmap<font color="#909090">=None</font>)</dt><dd><tt>norm is a colors.Norm instance to map luminance to 0-1<br>
cmap is a cm colormap instance</tt></dd></dl>
<dl><dt><a name="ScalarMappable-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="ScalarMappable-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="ScalarMappable-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="ScalarMappable-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="ScalarMappable-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="ScalarMappable-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="ScalarMappable-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="ScalarMappable-set_norm"><strong>set_norm</strong></a>(self, norm)</dt><dd><tt>set the colormap for luminance data</tt></dd></dl>
<dl><dt><a name="ScalarMappable-to_rgba"><strong>to_rgba</strong></a>(self, x, alpha<font color="#909090">=1.0</font>)</dt></dl>
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<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="-ColormapJet"><strong>ColormapJet</strong></a>(N<font color="#909090">=256</font>)</dt></dl>
<dl><dt><a name="-Grayscale"><strong>Grayscale</strong></a>(N<font color="#909090">=256</font>)</dt></dl>
<dl><dt><a name="-get_cmap"><strong>get_cmap</strong></a>(name<font color="#909090">=None</font>, lut<font color="#909090">=None</font>)</dt><dd><tt>Get a colormap instance, defaulting to rc values if name is None</tt></dd></dl>
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<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>LUTSIZE</strong> = 256<br>
<strong>datad</strong> = {'gray': {'blue': ((0.0, 0, 0), (1.0, 1, 1)), 'green': ((0.0, 0, 0), (1.0, 1, 1)), 'red': ((0.0, 0, 0), (1.0, 1, 1))}, 'jet': {'blue': ((0.0, 0.5, 0.5), (0.11, 1, 1), (0.34000000000000002, 1, 1), (0.65000000000000002, 0, 0), (1, 0, 0)), 'green': ((0.0, 0, 0), (0.125, 0, 0), (0.375, 1, 1), (0.64000000000000001, 1, 1), (0.91000000000000003, 0, 0), (1, 0, 0)), 'red': ((0.0, 0, 0), (0.34999999999999998, 0, 0), (0.66000000000000003, 1, 1), (0.89000000000000001, 1, 1), (1, 0.5, 0.5))}}<br>
<strong>gray</strong> = <matplotlib.colors.LinearSegmentedColormap instance><br>
<strong>jet</strong> = <matplotlib.colors.LinearSegmentedColormap instance><br>
<strong>nx</strong> = <matplotlib.nc_imports._TypeNamespace instance><br>
<strong>rcParams</strong> = {'axes.edgecolor': 'k', 'axes.facecolor': 'w', 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'k', 'axes.labelsize': 12.0, 'axes.linewidth': 1.0, 'axes.titlesize': 14.0, 'backend': 'GTKAgg', 'datapath': '/usr/local/share/matplotlib', ...}<br>
<strong>verbose</strong> = <matplotlib.Verbose instance></td></tr></table>
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