Hi all,
I was made aware of this thread and thought I’d share a notebook I recently
made for a similar purpose:
http://nbviewer.ipython.org/gist/krischer/d35096a9d3b6da5846a5
<http://nbviewer.ipython.org/gist/krischer/d35096a9d3b6da5846a5> (takes a while
to load…)
It attempts to “optimize" colormaps by defining optimality as having a linear
lightness across the colormap in LAB color space. It is very simple and not a
proper optimization procedure. It just goes to LAB space, sets the lightness to
the target lightness, and goes back to sRGB space. This does not always work as
the LAB color space is much bigger than the RGB one but in many cases it
produces fairly good results.
The nice thing about this is that the lightness range can be chosen so it is
does not always have to be stark white or black at the ends and some hue can be
preserved.
I am not sure if some similar functionality is useful to include into
matplotlib (I don’t really think so) but if yes, let me know and I’ll give it a
try. I guess it could also be extended to optimize towards monotonic changes in
hue.
Cheers and all the best!
Lion
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