I, for one, would love to see a pull request for this if you're game.
Mike
On 11/24/2014 04:27 AM, Lion Krischer wrote:
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 (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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Michael Droettboom
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Space Telescope Science Institute
http://www.droettboom.com
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