That is super cool. I was thinking about doing something similar, glad it
has already been so well done.
The example figures at the bottom bring up another point, we should have a
canonical set of test figures, both for the color map and the defaults in
general, I think that will really help with this discussion.
That example could also be reused as a standard show-case for style-files.
Tom
On Mon Nov 24 2014 at 11:32:41 AM Michael Droettboom <md...@stsci.edu>
wrote:
> 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
> Science Software Branch
> Space Telescope Science Institute
> http://www.droettboom.com
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