Same here.  I prefer D over the rest because of both its aesthetic and 
technical merits.

Phil

--------------------------------------------------
Phillip J. Wolfram, Ph.D.
Postdoctoral Research Associate
Climate, Ocean and Sea Ice Modeling
T-3 Fluid Dynamics and Structural Mechanics
Los Alamos National Laboratory
Phone:  (505) 667-3518
Email:   pwolf...@lanl.gov

On Jun 4, 2015, at 10:37 AM, <matplotlib-devel-requ...@lists.sourceforge.net> 
<matplotlib-devel-requ...@lists.sourceforge.net> wrote:

> Message: 1
> Date: Thu, 4 Jun 2015 09:37:12 -0700
> From: Brian Granger <elliso...@gmail.com>
> Subject: Re: [matplotlib-devel] RFC: candidates for a new default
>       colormap
> To: Joe Kington <joferking...@gmail.com>
> Cc: matplotlib-devel <matplotlib-devel@lists.sourceforge.net>
> Message-ID:
>       <CAH4pYpRms3xbu=m==Jdi7=xjastuskpd-6+tyoo+vh05nr5...@mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
> 
> I very much like D.
> 
> On Thu, Jun 4, 2015 at 9:34 AM, Joe Kington <joferking...@gmail.com> wrote:
> 
>> Well that got horribly garbled somehow (and I hit send too early).  Let me
>> try that again:
>> 
>> 
>> ?
>> 
>> 
>> On Thu, Jun 4, 2015 at 11:27 AM, Joe Kington <joferking...@gmail.com>
>> wrote:
>> 
>>> One other (admittedly very minor) consideration is how the colormaps look
>>> with shading applied.  To borrow from the hillshading example
>>> <http://matplotlib.org/devdocs/examples/specialty_plots/topographic_hillshading.html>
>>> :
>>> 
>>> (The image appears to be too large to attatch. Try here: http://
>>> <http://www.geology.beer/images/hillshaded.png>www.geology.beer
>>> <http://www.geology.beer/images/hillshaded.png>/images/
>>> <http://www.geology.beer/images/hillshaded.png>hillshaded.png
>>> <http://www.geology.beer/images/hillshaded.png>)
>>> <http://www.geology.beer/images/hillshaded.png>
>>> 
>>> I personally really like option D for a lot of reasons, but this is
>>> another reason to prefer it. Providing additional information through
>>> "shading" etc, still works quite well. Option C also does well in this
>>> particular test, though it appears too "washed out" for my tastes.
>>> 
>>> At least to my eyes, options B fairs particularly poorly.  In B's case,
>>> the fact that the colormap runs towards black means that hillshading is
>>> difficult to distinguish from elevation changes.  A suffers from similar
>>> problems in this case, though they're much less severe.
>>> 
>>> In my personal opinion: D >> A > C > B
>>> 
>>> Cheers,
>>> -Joe
>>> Fun activity: watch all 6 videos in a row then watch the text on this
>>> email spin and spin. =P
>>> 
>>> Gorgeous! Thanks Nathan!
>>> 
>>> I hope this kills C dead. It clearly makes certain features of the
>>> simulation harder to spot.
>>> 
>>> A great demo of the terribleness of jet, too: it looks like a huge mess.
>>> 
>>> On Thu, Jun 4, 2015 at 5:42 PM, Nathan Goldbaum <nathan12...@gmail.com>
>>> wrote:
>>> 
>>>> 
>>>> 
>>>> On Wed, Jun 3, 2015 at 5:17 PM, St?fan van der Walt <ste...@sun.ac.za>
>>>> wrote:
>>>> 
>>>>> On Wed, Jun 3, 2015 at 5:08 PM, Nathan Goldbaum <nathan12...@gmail.com>
>>>>> wrote:
>>>>>> I'm a big fan of option D.  So much so that when I needed to make a
>>>>> movie of
>>>>>> ony my galaxy simulations today I went ahead and used it:
>>>>>> 
>>>>>> https://youtu.be/bnm554et0T8
>>>>> 
>>>>> Beautiful!  How hard would it be to also do this for the other
>>>>> proposed colormaps?
>>>>> 
>>>> 
>>>> Thankfully you made it pretty easy to script this.
>>>> 
>>>> jet: https://www.youtube.com/watch?v=dsvT5hImPmo
>>>> 
>>>> parula: https://www.youtube.com/watch?v=8146CMi-OaQ
>>>> 
>>>> option a: https://www.youtube.com/watch?v=IqvxuQSzWO4
>>>> 
>>>> option b: https://www.youtube.com/watch?v=wa7bpV3XPV0
>>>> 
>>>> option c: https://www.youtube.com/watch?v=3rHbq4jw1ew
>>>> 
>>>> option d: https://www.youtube.com/watch?v=2_HiUXVNm2k
>>>> 
>>>> 
>>>>> 
>>>>> St?fan
>>>>> 
>>>>> 
>>>>> ------------------------------------------------------------------------------
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>>>>> Matplotlib-devel@lists.sourceforge.net
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>>> 
>>>> 
>>>> 
>>>> 
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>>>> 
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>>>> 
>>>> 
>>> 
>>> 
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>>> 
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>>> 
>> 
>> 
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> 
> 
> -- 
> Brian E. Granger
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> bgran...@calpoly.edu and elliso...@gmail.com
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