Hi, This is a great initiative, I love colormaps and am always disatisfied.
However, I am concerned about these proposed defaults. As Ben says, there are two types of data sets: “intensity” or “density” data, and data sets with a natural zero (i.e. positive or negative anomaly or velocity). I’d be fine with any of the proposed colormaps for “intensity” data sets, but I would *never* use them for anomaly data sets; I couldn’t tell where the middle (zero) of any of those colormaps are intuitively. Jet and parula, for all their sins, are decent compromises for the naive user (or the user in a rush) because they do a good job of representing both types of data. Even in black and white jet does something reasonable, which is go to dark at extreme values and white-ish in the middle. Jet also has a nice central green hue between blue and yellow that signals zero (or at least it does to me after years of looking at it). I don’t see that jet really loses that under colorblindness; in fact I almost prefer the “Moderate Deuter” version of jet to the actual jet. 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. Cheers, Jody > On 5 Jun 2015, at 8:36 AM, Benjamin Root <ben.r...@ou.edu> wrote: > > It is funny that you mention that you prefer the warmer colors over the > cooler colors. There has been some back-n-forth about which is better. I > personally have found myself adverse to using just cool or just warm colors, > preferring a mix of cool and warm colors. Perhaps it is my background in > meteorology and viewing temperature maps? > > Another place where a mix of cool and warm colors are useful is for severity > indications such as radar maps. It is no accident that radar maps are colored > greens and blues for weak precipitation, then yellow for heavier, and then > reds for heaviest (possibly severe) precipitation -- it came from the old FAA > color guides. While we all know that that colormap is fundamentally flawed, > there was a rationale behind it. > > Hopefully I will have some time today to play around with the D option. I > want to see if I can shift the curve a bit to include more yellows and orange > so that it can have a mix of cool and warm colors. > > Ben Root > > > On Fri, Jun 5, 2015 at 11:21 AM, Philipp A. <flying-sh...@web.de > <mailto:flying-sh...@web.de>> wrote: > I vote for A and B. Only B if i get just one vote. > > C is too washed out and i like the warm colors more than the cold ones in D. > > It’s funny that this comes up while I’m handling colormaps in my own work at > the moment. > > Neal Becker <ndbeck...@gmail.com <mailto:ndbeck...@gmail.com>> schrieb am > Fr., 5. Juni 2015 um 12:58 Uhr: > I vote for D, although I like matlab's new default even better > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > <mailto:Matplotlib-users@lists.sourceforge.net> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > > ------------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > <mailto:Matplotlib-users@lists.sourceforge.net> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/
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