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Added dark-mode diverging colormaps #28587

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Aug 1, 2024
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Added dark-mode diverging colormaps #28587

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24 changes: 24 additions & 0 deletions doc/users/next_whats_new/diverging_colormaps.rst
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@@ -0,0 +1,24 @@
Dark-mode diverging colormaps
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Three diverging colormaps have been added: "berlin", "managua", and "vanimo".
They are dark-mode diverging colormaps, with minimum lightness at the center,
and maximum at the extremes. These are taken from F. Crameri's Scientific
colour maps version 8.0.1 (DOI: https://doi.org/10.5281/zenodo.1243862).


.. plot::
:include-source: true
:alt: Example figures using "imshow" with dark-mode diverging colormaps on positive and negative data. First panel: "berlin" (blue to red with a black center); second panel: "managua" (orange to cyan with a dark purple center); third panel: "vanimo" (pink to green with a black center).
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We don't lint rst files, but pretty sure this should be wrapped. I think as long as you indent the plot directive should still be OK.

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@martinosorb martinosorb Jul 20, 2024 •
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I wasn't sure whether breaking the line would send me out of the alt variable. I checked the previous what's new files and they seem to go on without breaking the line: https://raw.githubusercontent.com/matplotlib/matplotlib/ed56f95cb6f5b54525687dabbb0e660bafec4d94/doc/users/prev_whats_new/whats_new_3.9.0.rst; so I kept the same style.

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I'm not sure either, and maybe it was done that way on purpose. But if not, then it would be nice to have wrapping

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Unfortunately I was unable to compile the docs locally due to some dependency issues, so I cannot check. Sorry.

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Thats why we have CI

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That didn't work, I reverted.


import numpy as np
import matplotlib.pyplot as plt

vals = np.linspace(-5, 5, 100)
x, y = np.meshgrid(vals, vals)
img = np.sin(x*y)

_, ax = plt.subplots(1, 3)
ax[0].imshow(img, cmap=plt.cm.berlin)
ax[1].imshow(img, cmap=plt.cm.managua)
ax[2].imshow(img, cmap=plt.cm.vanimo)
3 changes: 2 additions & 1 deletion galleries/examples/color/colormap_reference.py
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Expand Up @@ -29,7 +29,8 @@
'hot', 'afmhot', 'gist_heat', 'copper']),
('Diverging', [
'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu',
'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic']),
'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic',
'berlin', 'managua', 'vanimo']),
('Cyclic', ['twilight', 'twilight_shifted', 'hsv']),
('Qualitative', [
'Pastel1', 'Pastel2', 'Paired', 'Accent',
Expand Down
8 changes: 7 additions & 1 deletion galleries/users_explain/colors/colormaps.py
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Expand Up @@ -175,10 +175,15 @@ def plot_color_gradients(category, cmap_list):
# equal minimum :math:`L^*` values at opposite ends of the colormap. By these
# measures, BrBG and RdBu are good options. coolwarm is a good option, but it
# doesn't span a wide range of :math:`L^*` values (see grayscale section below).
#
# Berlin, Managua, and Vanimo are dark-mode diverging colormaps, with minimum
# lightness at the center, and maximum at the extremes. These are taken from
# F. Crameri's [scientific colour maps]_ version 8.0.1.

plot_color_gradients('Diverging',
['PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu', 'RdYlBu',
'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic'])
'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic',
'berlin', 'managua', 'vanimo'])

# %%
# Cyclic
Expand Down Expand Up @@ -441,3 +446,4 @@ def plot_color_gradients(cmap_category, cmap_list):
# .. [colorblindness] http://www.color-blindness.com/
# .. [IBM] https://doi.org/10.1109/VISUAL.1995.480803
# .. [turbo] https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html
# .. [scientific colour maps] https://doi.org/10.5281/zenodo.1243862
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