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 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
> To: 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
>
>
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