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

[Olga B. <obo...@uc...>]

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 as well? I think that's a great idea! It'll make the
black and white versions easier to understand since the changing colors
will monotonically increase/decrease in darkness rather than randomly
changing.

RE: Nathaniel - I'm not as much of a fan of changing line styles in
addition to colors, but that's my personal preference for plotting lines
specifically. When plotting scatters, I think it does make sense, since the
room to perceive a change in color is so small, that a change in shape
helps too.

On Wed Feb 18 2015 at 9:40:00 AM Michael Waskom <mw...@st...>
wrote:

> 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 not certain if it will work on the 2.x series;
> sorry if that is the case).
>
> This stays with the general approach in the original notebook of using a
> linear ramp for chroma, which again maybe is not what we want. But it
> should let you get a better sense for the parameter space.
>
> As I said in the email to Olga, I think (a) I would advocate fairly
> strongly that matplotlib should design a custom colormap as its default,
> and (b) I think this approach (a cubehelix-like map in Hcl space) is a
> principled way of doing so (though maybe not optimal). But both of those
> points are independent of whether you end up going with the particular
> parameters that I used to generate the original proposal -- I have my own
> domain on which to impose my personal aesthetic preferences, and I don't
> need to take over matplotlib too :)
>
> (But I do think it's worth distinguishing the matplotlib default from the
> matlab default.)
>
> Michael
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