+------------------------------------------------ Keith Hughitt ---------+
> Hi all,
>
> Does anyone know of a good way to create a new LinearSegmentedColormap
> based off an existing one?
>
> I have a function which attempts to generate N "optimal" color map
> indices for a given data array. In cases where the number of values
> specified in _segmentdata is the same as N, then I can simply
> copy _segmentdata and modify the indices and create a new color map. In
> many cases, however, the segment data has far fewer interpolation
> points, e.g.:
>
> In [52]: cm.gray._segmentdata
> Out[52]:
> {'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))}
>
>
> Other colormaps may have an arbitrary number of interpolation points.
> Ideally, what I would like is a way to expand this into N points (e.g.
> 256) so that I use that as input for my new map.
>
i cannot really help you with your approach, but i also think it's not
so elegant to expand cmaps.
did you try to understand the way cmaps can be defined by gradient
borders? -> http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps
i.e. a friend gave me a colormap defined by points and i converted it to
something like that (by just looking at the colors):
ie_data = {
'red': ((0.00, 0.357, 0.357),
(0.50, 1.000, 1.000),
(0.75, 1.000, 1.000),
(1.00, 1.000, 1.000)),
'green':((0.00, 0.467, 0.467),
(0.50, 1.000, 1.000),
(0.75, 0.750, 0.750),
(1.00, 0.371, 0.371)),
'blue':((0.00, 0.800, 0.800),
(0.50, 1.000, 1.000),
(0.75, 0.157, 0.157),
(1.00, 0.157, 0.157))
}
ie = matplotlib.colors.LinearSegmentedColormap('ieMap', ie_data, 256)
use it with cmap=ie
regards
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