Great work! Very nice post describing the methodology. I especially like the choice of images you used to expose differences between colormaps.
My ranking is: 1. C 2. A 3. B To my eyes, C has the highest dynamic range (somehow the opposite of Eric!) and I like the purple/blue undertone in the dark colors. On Tue, Jun 2, 2015 at 8:00 PM Eric Firing <efir...@hawaii.edu> wrote: > On 2015/06/02 3:46 PM, Nathaniel Smith wrote: > > Hi all, > > > > As was hinted at in a previous thread, Stéfan van der Walt and I have > > been using some Fancy Color Technology to attempt to design a new > > colormap intended to become matplotlib's new default. (Down with jet!) > > > > Unfortunately, while our Fancy Color Technology includes a > > computational model of perceptual distance, it does not include a > > computational model of aesthetics. So this is where you come in. > > > > We've put up three reasonable candidates at: > > https://bids.github.io/colormap/ > > (along with some well-known colormaps for comparison), and we'd like > > your feedback. > > Thank you! > > I am leaning toward B; to me, it seems to have a little more dynamic > range than the other two, and a better range and balance of colors. I > can imagine situations in which A or C might be better; we can have all > three available as named options, but I think B will server best as the > default. > > Eric > > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-devel mailing list > Matplotlib-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >
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