I always liked this reference:

http://www.kennethmoreland.com/color-maps/ColorMapsExpanded.pdf

On Wed, Jan 6, 2016 at 1:13 PM, B.W. Keller <kellerbw@mcmaster.ca> wrote:
There is a really excellent paper on designing color maps called "Color Sequences for Univariate Maps: Theory, Experiments, and Principles" that you can get here: http://ccom.unh.edu/sites/default/files/publications/Ware_1988_CGA_Color_sequences_univariate_maps.pdf

If we design a new colormap, this would be a good reference along with those scipy resources.  I personally would love to have an accessible, yt-custom colormap.


On Wed, Jan 6, 2016 at 11:50 AM, Erik Schnetter <schnetter@gmail.com> wrote:
I think there are several colourmaps that were created when Viridis
was invented. I personally like Inferno.

-erik

On Wed, Jan 6, 2016 at 11:34 AM, Nathan Goldbaum <nathan12343@gmail.com> wrote:
> I would also be for coming up with our own colormap. That said, I think
> simply modifying algae won't be enough, since it is too perceptually
> nonlinear.
>
> On Wed, Jan 6, 2016 at 10:32 AM, John ZuHone <jzuhone@gmail.com> wrote:
>>
>> I would go for modifying algae.
>>
>> > On Jan 6, 2016, at 11:30 AM, Matthew Turk <matthewturk@gmail.com> wrote:
>> >
>> > Hi folks,
>> >
>> > For a long time we've used "algae," which was designed by Britton
>> > about eight years ago, as the default colormap.  This has been really
>> > nice for "branding" yt -- if you see an algae plot, it's probably (not
>> > definitely) made with yt.  But it's also not accessible from a
>> > colorblindness perspective.  Stefan van der Walt has been giving some
>> > really great talks lately about building a better colormap for
>> > matplotlib (e.g., https://www.youtube.com/watch?v=xAoljeRJ3lU ) which
>> > culminated in viridis, which is shipping in recent versions of
>> > matplotlib and will become the default.
>> >
>> > In support of this, he built a tool called viscm which can generate
>> > reduced versions of colormaps to show what they would be like with
>> > varying degrees of insensitivity to color.  I've generated outputs
>> > from viscm of three of the custom colormaps we ship with yt:
>> >
>> > Algae: https://images.hub.yt/u/fido/m/d275d5e1-png/
>> > Cubehelix: https://images.hub.yt/u/fido/m/8e698928-png/ (I believe
>> > this is now also shipped with MPL)
>> > Kamae: https://images.hub.yt/u/fido/m/e0e40efa-png/
>> >
>> > I love algae, but it's not the best from an accessibility perspective.
>> >
>> > I'd like to propose that we use a new default colormap.  If we do
>> > this, I see two options:
>> >
>> > * Retain a "branding" by developing a new one either by using the
>> > techniques used by matplotlib (or one of the maps they opted not to
>> > use) or by modifying algae to be more accessible; looking at the
>> > response functions, I suspect it would be reasonably possible to
>> > modify it.  (Modifying algae is my preference.)
>> > * Use viridis (which we may then have to ship if we have older
>> > versions of matplotlib to support)
>> >
>> > -Matt
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http://www.perimeterinstitute.ca/personal/eschnetter/
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