antonv wrote:
> Thanks for the quick reply John! Now it makes a lot more sense. The next dumb
> question is what is SVN and where can I find more bout it?

http://sourceforge.net/svn/?group_id=80706
http://subversion.tigris.org/

Eric

> 
> 
> John Hunter-4 wrote:
>> On Fri, Jan 16, 2009 at 10:33 AM, antonv <vasilescu_an...@yahoo.com>
>> wrote:
>>> I have a series of 18 separate colors to create my cmap but I would like
>>> to
>>> convert that to a continuous map which interpolates all the other values
>>> in
>>> between my chosen colors. This should be really easy but I am not sure
>>> how
>>> can it be solved. Any ideas?
>> Although the logic of the LinearSegmentedColormap takes some time to
>> get your head around, it is pretty easy.
>>
>>  
>> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
>>
>>
>> Here is an example:
>>
>>     import numpy as np
>>     import matplotlib.pyplot as plt
>>     import matplotlib.colors as mcolors
>>     import matplotlib.cm as cm
>>     colors = 'red', 'green', 'blue', 'yellow', 'orange'
>>
>>     ncolors = len(colors)
>>
>>     vals = np.linspace(0., 1., ncolors)
>>
>>     cdict = dict(red=[], green=[], blue=[])
>>     for val, color in zip(vals, colors):
>>         r,g,b = mcolors.colorConverter.to_rgb(color)
>>         cdict['red'].append((val, r, r))
>>         cdict['green'].append((val, g, g))
>>         cdict['blue'].append((val, b, b))
>>
>>     cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
>>
>>
>>     x = np.arange(10000.).reshape((100,100))
>>
>>     plt.imshow(x, cmap=cmap)
>>
>>     plt.show()
>>
>> See also
>> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
>>  I just added a function to svn to support this, so with svn you can
>> do
>>
>>
>>     colors = 'red', 'gray', 'green'
>>     cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
>>     X, Y = np.meshgrid(np.arange(10), np.arange(10))
>>     plt.imshow(X+Y, cmap=cmap)
>>
>> JDH
>>
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> 


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