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

[Maximilian A. <max...@gm...>]

2015-02-17 1:23 GMT+01:00 Michael Waskom <mw...@st...>:

> 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.
>

This is very neat! Great job. Incidentally, when I stumbled upon the
earthobservatory blog a while ago this particular colormap also caught my
eye as a potential candidate, so I'm glad you suggested it as a starting
point for a new matplotlib default.

Out of curiosity, I applied Nathaniel's "viscm" function (from the previous
thread) to the colormap from your notebook (screenshot attached).
Interestingly, while it confirms that the lightness and hue angle increase
more or less linearly, the "colourfulness" goes up and down in waves, even
though you designed the chroma to increase linearly, too. I'm not sure
whether this is because "colourfulness" and "chroma" are actually two
different concepts, or whether it has to do with inaccuracies and/or
clamping during the conversion between various colour spaces. It could also
be the case that the colormath and pycam02ucs modules use different
conversion formulas (in which case it would be good to know which is "more
accurate"; not sure there is even an objective measure for "accuracy" in
this case). Also, there seems to be something strange going on at the dark
(blue) end of the colormap, but this could again be due to clamping.

I'd love to play a bit more with your example notebook but not sure I'll be
able to do so before the weekend (or early next week).

Cheers,
Max