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 re
On Wed, Feb 18, 2015 at 5:23 PM, Eric Firing 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 to be clear, H
On Wed, Feb 18, 2015 at 4:42 PM, Olga Botvinnik 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 to be clear,
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; I'm
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 out
esenter was building up suspense about the really,
>> really impressive radar image of a supercell on the next slide)
>>
>> Ben Root
>> On Feb 16, 2015 7:24 PM, "Michael Waskom" wrote:
>>
>>> See [here](http://nbviewer.ipython.org/gist/mwaskom/6a
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
>&
choose how 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 wrote:
> On 2015/02/16 1:19 PM, Michael Waskom wrote:
>
>> Here are two palettes that are o
On Mon, Feb 16, 2015 at 2:01 PM, Eric Firing 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 misses by omitti
On Mon, Feb 16, 2015 at 3:19 PM, Michael Waskom
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 w
On Mon, Feb 16, 2015 at 3:15 PM, Eric Firing 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 colorblindness:
h
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