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.
Any suggestions? I found a similar
post<http://sourceforge.net/mailarchive/forum.php?thread_name=AANLkTik0v7nh4NB1rOBCP_dFQfS2JJoe0S6NeUrw0p6k%40mail.gmail.com&forum_name=matplotlib-users>from
last year, but that doesn't seem to be applicable in the version of
Matplotlib I'm using (1.1.0).
Thanks,
Keith
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