@Nathaniel I think developing the color-overhaul as a maintenance release
is a decent compromise. All non-color changes get directed at the master
branch and we can cherry-picked back bug-fixes as needed.
The next feature release is planned for July/August, I _really_ hope
sorting out the colors does not take that much longer. if we start to Paint
a Bike Shed that just needs to be shut down.
I am not sure how I feel about a _default_ non-trivial style-cycle. +1 on
providing the machinery and rcparams to do it and agnostic which branch it
goes on.
@Olga I think there are two separate issues, the default color map used by
ScalarMappable and the default color cycle that `ax.plot` and company use.
I think both should be up for discussion and do not _need_ to use the same
colors.
Tom
On Wed Feb 18 2015 at 7:43:31 PM Olga Botvinnik <obotv...@ucsd.edu> wrote:
> 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 <mwas...@stanford.edu>
> 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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