Re: [matplotlib-devel] Colormap survey results

[Phil E. <pel...@gm...>]

For what it is worth, if D were made the default colormap, I would be very
happy.

On 1 July 2015 at 22:35, Thomas Caswell <tca...@gm...> wrote:

> We would like to tag 1.5 around scipy and it would be nice to get the new
> color maps out, even if they are not yet the default.
>
> On Wed, Jul 1, 2015, 11:13 PM Nathaniel Smith <nj...@po...> wrote:
>
>> On Jul 1, 2015 6:31 PM, "Eric Firing" <ef...@ha...> wrote:
>> >
>> > On 2015/07/01 1:56 PM, Nathaniel Smith wrote:
>> > > On Tue, Jun 16, 2015 at 7:14 PM, Nathaniel Smith <nj...@po...>
>> wrote:
>> > >
>> > > [...snip discussion of how option D was the favorite of 80% of people
>> > > in the survey...]
>> > >
>> > >> So the next question is where we go from here.
>> >
>> > One thing we need to do is get some of these maps into  _cm.py via PR.
>>
>> We've been a bit distracted getting the software and talk together ahead
>> of scipy, but PR (with names) will follow within the next week or so. The
>> decision part is pretty orthogonal though I think? It's not like matplotlib
>> 2.0 is going to branch between now and scipy :-).
>>
>> > I would prefer not to have them go in as huge tables if they can be made
>> > more compact, either by being function-generated or by using the
>> > LinearSegmentedColormap mechanism with a moderate number of breakpoints.
>> >
>> > Suggestions?
>>
>> Depends on how you define "moderate", but my guess is that linear
>> segmented is the best approach -- the exact colormaps have a pretty terse
>> representation as bezier control points, but using this at runtime would
>> require pulling in the full colorspace apparatus as a dependency. Which I
>> guess has points in its favor for other reasons, but nonetheless.
>>
>> These kinds of details can be worked out in the PR review process,
>> though. The blocking issue is that we need a decision :-).
>>
>> -n
>>
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