If we have to reply on this thread, I would choose Option C. I don't like A,B because of the strong black at the edges, which sometimes saturate plots whose values vary a lot. I prefer C over D because of a personal preference towards darker colours.
Joy On Fri, Jun 5, 2015 at 2:12 AM, Eric Firing <efir...@hawaii.edu> wrote: > I am forwarding a message from Nathaniel Smith which is the start of a > long thread on matplotlib-devel > http://news.gmane.org/gmane.comp.python.matplotlib.devel > related to changes that are in the works for matplotlib, and that are > therefore of interest to matplotlib users. Specifically, we will be > updating the default color cycle for line plots, and the default > colormap for image-type plots, including contourf and pcolormesh. The > most important part of Nathaniel's message is the link: > > https://bids.github.io/colormap/ > > which has been updated since his first message below. > > Note that we are looking for a new *default* colormap--the one that will > be used if you have not specified an alternative in your matplotlibrc > file, your function keyword arguments, or anywhere else. It does not in > any way limit your ability to specify a colormap that you prefer for a > particular application, or as your own default. Rather, it should be a > good all-around choice, that works reasonably well in a variety of > applications, and that most people will find *comfortable* as well as > functional. It will become part of matplotlib's "look"; it should > attract rather than repel prospective and new users. We have some > consensus about some of the other criteria, and these are coded into the > tool that Nathaniel and Stéfan have developed for generating colormaps. > So far, 4 alternatives generated with this tool have been proposed at > the link above; more might be added. > > Eric > > -------- Forwarded Message -------- > Subject: [matplotlib-devel] RFC: candidates for a new default colormap > Date: Tue, 2 Jun 2015 18:46:21 -0700 > From: Nathaniel Smith <n...@pobox.com> > To: matplotlib-de...@lists.sourceforge.net > <matplotlib-de...@lists.sourceforge.net> > > 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. > > They are all optimal on all of the objective criteria we know how to > measure. What we need judgements on is which one you like best, both > aesthetically and as a way of visualizing data. (There are some sample > plots to look at there, plus you can download them and play with them > on your own data if you want.) > > We especially value input from anyone with anomalous color vision. > There are some simulations there, but computational models are > inherently limited here. (It's difficult to ask someone with > colorblindness "does this look to you, the same way this other picture > looks to me?") > > -n > > -- > Nathaniel J. Smith -- http://vorpus.org > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-devel mailing list > matplotlib-de...@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- The best ruler, when he finishes his tasks and completes his affairs, the people say “It all happened naturally” - Te Tao Ch'ing
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