Great work! Very nice post describing the methodology. I especially like
the choice of images you used to expose differences between colormaps.
My ranking is:
1. C
2. A
3. B
To my eyes, C has the highest dynamic range (somehow the opposite of Eric!)
and I like the purple/blue undertone in the dar
How about "pythonic sunset" ?
On Sun, Apr 5, 2015 at 2:01 PM Benjamin Root wrote:
> That is nice. The blue is a bit heavy, but that might be my display. Now,
> how should we order it by default? I am used to thinking of blues as lower
> values, and reds as higher. The yellow at the end throws me
I'd be very interested in hearing a "state of matplotlib" talk.
On Fri, Mar 13, 2015, 11:29 Phil Elson wrote:
> Orchestrating MPL tutorials and talks in this thread would be a good idea.
> I'd be happy to help anybody planning on submitting anything relating
> specifically to matplotlib, and won
FYI the notebook isn't working for me in IPython 2.2.0
I agree with Michael's sentiment that from a marketing perspective, a
matplotlib-only colormap is advantageous to maintain a consistent brand.
Will these colormaps also be used for non-imshow/colormesh/pcolormesh data,
as in for line colors a
Out of curiosity, what are the advantages of the HCL colormap over YlGnBu
for continuous values? I'm biased towards YlGnBu because green is my
favorite color and want to know what makes HCL objectively better for
perceiving values.
I added YlGnBu_r versions of those plots just below yours:
http://
