Re: [matplotlib-devel] release strategy and the color revolution

2015-02-17 Thread Michael Waskom
, Michael Waskom mwas...@stanford.edu wrote: See [here](http://nbviewer.ipython.org/gist/mwaskom/6a43a3b94eca4a9e2e8b) for a quick and dirty implementation that should get a general idea. This probably ins't the best way to do it -- anyone should feel free to build on this. On Mon, Feb 16, 2015

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-18 Thread Michael Waskom
Cool! I knew there had been some useful tools posted on the earlier thread but didn't have time to dig them out. Interesting observation about the colorfulness. I don't know enough about all the transformations involved to full account for that, but I added some stuff to the notebook to figure

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-18 Thread Michael Waskom
I've made a second notebook that uses the IPython interactive machinery to let anyone play with the parameters and explore different ways of setting them. you can download the notebook with that here: http://nbviewer.ipython.org/gist/mwaskom/842d1497b6892d081bfb (I made it using IPython 3.0rc1;

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-16 Thread Michael Waskom
On Mon, Feb 16, 2015 at 3:15 PM, Eric Firing efir...@hawaii.edu wrote: Does anyone have a suggestion for a colorblind-friendly cycle? Maybe omit the green and tack a gray on the end? I haven't checked, so I don't know if this would work well. Here are two palettes that are optimized for

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-16 Thread Michael Waskom
On Mon, Feb 16, 2015 at 3:19 PM, Michael Waskom mwas...@stanford.edu wrote: Here are two palettes that are optimized for colorblindness actually I should say I have no idea if those are optimal, but the simulations do suggest they work well

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-16 Thread Michael Waskom
On Mon, Feb 16, 2015 at 2:01 PM, Eric Firing efir...@hawaii.edu wrote: Here is what I think is the most recent extensive thread: http://comments.gmane.org/gmane.comp.python.matplotlib.devel/13122 ... 1) A greyscale has been proposed; it satisfies several of the criteria very well, but

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-16 Thread Michael Waskom
wrote: On 2015/02/16 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

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-16 Thread Michael Waskom
to use those colors carefully so that the categories that are most important to distinguish aren't colored with red and green. On Mon, Feb 16, 2015 at 3:32 PM, Eric Firing efir...@hawaii.edu wrote: On 2015/02/16 1:19 PM, Michael Waskom wrote: Here are two palettes that are optimized

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-18 Thread Michael Waskom
On Wed, Feb 18, 2015 at 4:42 PM, Olga Botvinnik obotv...@ucsd.edu wrote: FYI the notebook isn't working for me in IPython 2.2.0 Oops, sorry. I agree with Michael's sentiment that from a marketing perspective, a matplotlib-only colormap is advantageous to maintain a consistent brand. Just

Re: [matplotlib-devel] release strategy and the color revolution

2015-02-18 Thread Michael Waskom
On Wed, Feb 18, 2015 at 5:23 PM, Eric Firing efir...@hawaii.edu wrote: Do you think there is a way to make a sequential map that is more pleasing to those of us who are more comfortable with blues and greens than with the slightly muddy purples and browns in the initial attempt at HCL? Just

[matplotlib-devel] Travis build of development matplotlib?

2015-08-29 Thread Michael Waskom
Hi all, I would like to set up a Travis build of seaborn that tests against the development version of matplotlib. Ideally this would happen without actually compiling matplotlib on Travis, to save time. Does matplotlib master get packaged such that it is installable through conda? I thought I