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Hi everyone,
As someone working with images, I think for displaying images you want a
colormap that spans as much as possible of the luminance range. The colormap
suggested by Michael Waskom would be quite perfect as-is. (recap: middle
colormap here:
http://earthobservatory.nasa.gov/blogs/elegantfigures/files/2013/08/three_perceptual_palettes_618.png)
I understand the concern that a colormap should be able to display things on
dark and light backgrounds, but this applies only to plots, not to images.
Tom Caswell emphasised the distinction between colormaps for continuous
variables and color cycles for categorical variables. There should also be a
distinction between image display and plotting. For image display, please
consider using a colormap with a wide luminance range.
Thanks!
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/release-strategy-and-the-color-revolution-tp44929p45027.html
Sent from the matplotlib - devel mailing list archive at Nabble.com.

Well, since we are thinking of it... What about prettyplotlib's style? I am
not sure I want to completely steal either project's style as it is their
own look-n-feel (and there are some aspects of their styles I don't quite
like, but I am something of a luddite...). But I would certainly be
receptive to addressing whatever egregious appearance faux pas we may have.
Perhaps the owners of those projects could provide use feedback on what
they might consider their "short-list" for things they would fix in
matplotlib?
On Sat, Feb 28, 2015 at 5:50 PM, Todd <tod...@gm...> wrote:
> On Feb 19, 2015 1:39 AM, "Nathaniel Smith" <nj...@po...> wrote:
> >
> > On Feb 16, 2015 3:39 PM, "Eric Firing" <ef...@ha...> wrote:
> > >
> > > On 2015年02月16日 1:29 PM, Michael Waskom wrote:
> > >
> > > > Nathaniel's January 9 message in that thread (can't figure out how to
> > > > link to it in the archives) had a suggestion that I thought was very
> > > > promising, to do something similar to Parula but rotate around the
> hue
> > > > circle the other direction so that the hues would go blue - purple -
> red
> > > > - yellow. I don't think we've seen an example of exactly what it
> would
> > > > look like, but I reckon it would be similar to the middle colormap
> here
> > > >
> http://earthobservatory.nasa.gov/blogs/elegantfigures/files/2013/08/three_perceptual_palettes_618.png
> > > > (from the elegant figures block series linked above), which I've
> always
> > > > found quite attractive.
> > >
> > > Certainly it can be considered--but we have to have a real
> implementation.
> >
> > While I hate to promise vaporware, I actually was planning to have a
> > go at implementing such a colormap in the next few weeks, based on
> > optimizing the same set of parameters that viscm visualizes... FWIW.
> >
> > Are we planning to make other default appearance changes at the same
> > time? The idea of changing the color cycle and/or dot-dash cycle has
> > already come up in this thread, and this earlier thread proposed
> > several more good ideas [1]:
> >
> http://thread.gmane.org/gmane.comp.python.matplotlib.devel/13128/focus=13166
> >
>
>
> If the goal is still to put all the appearance-related changes in a single
> release (to simplify changes to downstream unit tests), but nobody has
> stepped up to make changes except to the colors, might it be possible to
> just adopt the default seaborn style (except for colors, of course)? If
> anybody is strongly motivated to make changes they can, but if nobody does
> there would still be a good, modern, pleasant-looking style used by default.
>
>
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