Hi, > On 5 Jun 2015, at 11:17 AM, Sourish Basu <[email protected]> wrote: > > On 06/05/2015 10:17 AM, Jody Klymak wrote: >> Anyways, I guess I am advocating trying to find a colormap with a very >> obvious central hue to represent zero. Anomaly data sets are *very* common, >> so having a default colormap that doesn’t do something reasonable with them >> may be a turn off to new users. > > I agree that jet does a bad job with anomaly data, but I disagree that having > a diverging colormap as default (or even a "diverging" argument to anything > that takes a cmap value) would solve that. Very often the "zero" of an > anomaly is not at the center of the extrema, and requires creating a custom > diverging colormap anyway (see attached example).
Well, I *strongly* disagree with that attached example! It makes it look like -0.5 is equivalent to +1.5! Unless there is a really strong reason to do that, I think that is poor practice as it makes your negative anomalies look far stronger than your positive, and that is not the case in the underlying numbers. Cheers, Jody > OT, I recently found a nice alternative to jet > here:https://mycarta.wordpress.com/2014/11/13/new-rainbow-colormap-sawthoot-shaped-lightness-profile/ > > <https://mycarta.wordpress.com/2014/11/13/new-rainbow-colormap-sawthoot-shaped-lightness-profile/> > It takes care of my biggest crib with jet, which is that there is not enough > perceptual variation in the middle of the range. > > Cheers, > Sourish Basu > <ff_adjustment_winter.png>------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/
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