Comments (3)
It sounds like you might want to use the cividis map: https://github.com/benmaier/cividis.
in the caption we can point to the same colours as what the majority Color-blind would see
With any of the perceptually-uniform sequential colormaps in the viridis family, you should be able to use the universally-accessible terms "ligher" and "darker" to describe regions (or the polarity) of the colormap, and I'd suggest doing this over using hue terms like "blue" and "yellow". A problem with the colormap you're proposing here (and with cividis imo, but somewhat less so) is that it effectively turns the colormap into a bipolar scale that implies a categorical boundary somewhere around the midpoint, which may not be an accurate representation of the nature of your data. Unfortunately, color is super complicated.
from matplotlib.
Note that cividis is one of Matplotlib's built in color maps, so you do not need to install the linked package.
from matplotlib.
Linking this related ticket #17893
from matplotlib.
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from matplotlib.