Hi Paul
I'm aware that matplotlib has moved away from the jet map, which in most
cases I would agree is a good thing.
My map is not a replacement for the jet colourmap, or any other colourmap.
My map is the "inverse" of the diverging colourmaps, seeking to enhance
small changes around a certain part of the colourmap (normally the centre,
but it can be set by the user).
In order to show the difference I have generated four test plots. Since I
don't want to fill your inbox with attachments, they can be found at
http://sudodolphin.blogspot.no/2014/03/creating-colourmaps-enhancing-small.html
with a description.
Cheers
Pål
On 14 March 2014 15:13, Paul Hobson <pmhob...@gmail.com> wrote:
> Pål,
>
> Matplotlib already has a jet colormap and has moved away from using it as
> the default for the very reasons listed in the first paper you site. How is
> your jet colormap different? Can you provide a comparison with the existing
> colormap? Does it overcome the drawbacks listed in the Sandia Nat'l Labs
> paper?
> -paul
>
>
> On Fri, Mar 14, 2014 at 3:16 AM, Pål Gunnar Ellingsen <paa...@gmail.com>wrote:
>
>> Hi
>>
>> I've created a python method for making a jet colour map which clearly
>> shows small changes around a given point in the colour map, (i.e. the
>> opposite of a diverging colour map
>> http://www.sandia.gov/~kmorel/documents/ColorMaps/ ).
>> This looks something like figure four on:
>> http://biomedicaloptics.spiedigitallibrary.org/article.aspx?articleid=1828750
>>
>> If this is something that is interesting for implementation in
>> matplotlib, I would be happy to clean up my code and submit a patch with it?
>>
>> Kind regards
>>
>> Pål
>>
>>
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