Other colormaps

[chebee7i]

Would there be intterest in including support for other colormap families?

Other families I had in mind were Matlab's parula colormap (see here), d3 (see here), ggplot2 (see here), tableau (see here), and some of the ones shown here.

[jiffyclub]

Definitely! I've already got some of the palettes from http://wesandersonpalettes.tumblr.com/ and I've been thinking about adding cubehelix. It'd be great to have a bunch of sub-packages with different options.

[chebee7i]

Great. I'll see what I can do in this upcoming week. cubehelix would be great (I think its available from matplotlib).

[jiffyclub]

Thanks! Some things to keep in mind:

• brewer2mpl has no hard dependencies and it should stay that way.
• all color maps are available in both discrete and continuous (via matplotlib) versions, and I'd like that to stay the case as well.

[chebee7i]

It would also be nice to include some of the colormaps in here:

http://statmath.wu.ac.at/~zeileis/papers/Zeileis+Hornik+Murrell-2009.pdf

especially the colorblind-sensitive maps.

[chebee7i]

Just adding more to the pile.

https://mycarta.wordpress.com/2013/02/21/perceptual-rainbow-palette-the-method/
https://gist.github.com/mbostock/11415064

[mycarta]

If you are interested in the MyCarta palettes mentioned by chebee7i, they are available as ASCII files here: https://mycarta.wordpress.com/color-palettes
https://github.com/kwinkunks and I wrote on porting them them to matplotlib here https://mycarta.wordpress.com/2014/04/25/convert-color-palettes-to-python-matplotlib-colormaps/

[jiffyclub]

Thanks for the links @mycarta!

[QuLogic]

Based on some discussion at matplotlib, I'm pretty sure Mathworks considers parula their IP, so I wouldn't risk including it if I were you.

[tvashtar]

For what it's worth the proposed new Viridis color map is up here. Matplotlib will have it in a few months, though.

[darribas]

+1 to include viridis in palettable. It's the only thing I miss in the library and it's become so popular that I think it'd make the library more attractive. Any chance it can be included? #please #please #please

[kjyv]

I'd also like to suggest some more palettes, especially one or some that are not organized (or ordered) as tuples but instead triples (I have a use e.g. for different types of coordinate data). Also useful would be palettes with more than 20 colors. As higher numbers of colors of course have less distinguishability, it would be nice if these were ordered in such a way that using e.g. only the first 10 makes these colors more distinct than using all of them. This discussion has some nice suggestions for that (including maximally distinct from all previous colors): http://graphicdesign.stackexchange.com/questions/3682/where-can-i-find-a-large-palette-set-of-contrasting-colors-for-coloring-many-d

[darribas]

Carto just released a new set of color palettes, which are available in hex.

[jiffyclub]

Palettable 3.0 is out and includes some new palettes:

• cmocean
• matplotlib (including viridis)
• MyCarta

[jiffyclub]

Someone on Twitter recommended the colorcet palettes: https://github.com/bokeh/colorcet

[flutefreak7]

+1 on getting more large categorical colormaps easily available. The stack overflow link shared above includes references to several historically significant color palettes that did this like the London subway and the color alphabet.

http://graphicdesign.stackexchange.com/questions/3682/where-can-i-find-a-large-palette-set-of-contrasting-colors-for-coloring-many-d

There's also Glasbey Colors that seems to be a very academically sound modern approach to maximizing the differences: https://github.com/taketwo/glasbey

A discussion about Glasbey color generation can be found here: holoviz/colorcet#11

[valentynbez]

Adding this to the pile, commonly used by bioinformaticians and microbial ecologists. Might be useful for other folks: https://github.com/KarstensLab/microshades