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> 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> 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 >> 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 > >
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