Hi
I saw the new default colormap viridis and I was wondering about the
function that was used to generated it. Looking inside the source,
I only found hardcoded values for a 256 long colormap [1].
I understand that I can interpolate this to get a colormap of any
length. However, what I'm really trying to find is the function that
was used to generate those values in the first place. I'm not so much
interested in the actual python code to do it, my interest is purely the
mathematical model behind it.
Is this published anywhere? If not, can anyone tell me where to find
the model?
Thank you
Carn?
[1] https://github.com/matplotlib/matplotlib/blob/b9710e674878799f9b7279802291a3d245b36e08/lib/matplotlib/_cm_listed.py#L774
The code used to generate all of the new colormaps is in these repositories:
See also the appendix at the bottom of this page:
As well as Stefan and Nathaniel's talk at this year's scipy:
···
On Thu, Oct 1, 2015 at 1:42 PM, Carn? Draug <carandraug at octave.org> wrote:
Hi
I saw the new default colormap viridis and I was wondering about the
function that was used to generated it. Looking inside the source,
I only found hardcoded values for a 256 long colormap [1].
I understand that I can interpolate this to get a colormap of any
length. However, what I'm really trying to find is the function that
was used to generate those values in the first place. I'm not so much
interested in the actual python code to do it, my interest is purely the
mathematical model behind it.
Is this published anywhere? If not, can anyone tell me where to find
the model?
Thank you
Carn?
[1]
https://github.com/matplotlib/matplotlib/blob/b9710e674878799f9b7279802291a3d245b36e08/lib/matplotlib/_cm_listed.py#L774
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Thank you. This is exactly what I was looking for.
Carn?
···
On 1 October 2015 at 19:46, Nathan Goldbaum <nathan12343 at gmail.com> wrote:
On Thu, Oct 1, 2015 at 1:42 PM, Carn? Draug <carandraug at octave.org> wrote:
Hi
I saw the new default colormap viridis and I was wondering about the
function that was used to generated it. Looking inside the source,
I only found hardcoded values for a 256 long colormap [1].
I understand that I can interpolate this to get a colormap of any
length. However, what I'm really trying to find is the function that
was used to generate those values in the first place. I'm not so much
interested in the actual python code to do it, my interest is purely the
mathematical model behind it.
Is this published anywhere? If not, can anyone tell me where to find
the model?
Thank you
Carn?
[1]
https://github.com/matplotlib/matplotlib/blob/b9710e674878799f9b7279802291a3d245b36e08/lib/matplotlib/_cm_listed.py#L774
The code used to generate all of the new colormaps is in these repositories:
GitHub - BIDS/colormap: Colormap recommendation
GitHub - matplotlib/viscm: A tool for visualizing and designing colormaps using colorspacious and matplotlib
See also the appendix at the bottom of this page:
matplotlib colormaps
As well as Stefan and Nathaniel's talk at this year's scipy:
https://www.youtube.com/watch?v=xAoljeRJ3lU