thanks
I found the spectral colormap is best suited to distinguish between many
equal spaced colors.
I am find it sad, that matplotlib has so many features, but is so
unintuitive to use.
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View this message in context:
http://matplotlib.1069221.n5.nabble.com/creating-colors-for-many-plots-
A colormap can be called like a function to get the colors associated to
(normalized) values. In your example, it is called with uniformly spaced values
(linspace) between 0 and 1. This should return the corresponding colors.
print plt.get_cmap('gray')(0.0)
(0.0, 0.0, 0.0, 1.0)
print plt.get_
i have found a solution for creating colors for many plots at this page:
http://stackoverflow.com/questions/7513262/matplotlib-large-set-of-colors-for-plots
what does this the following line do?
colors = plt.get_cmap('jet')(np.linspace(0, 1.0, len(kinds)))
plt.get_cmap('jet') gets a LinearSegment
