I wish to simultaneously scatterplot two distributions on the same plot, so that I can see at a glance each distribution, as well as the relationship between them.
https://matplotlib.org/3.1.0/tutorials/colors/colormaps.html shows:
... so if I take a chunk out of Viridis and a chunk out of Plasma, I should be good to go.
But then I'm losing the full dynamic range. I've asked whether this is "fixable" here: Restore full dynamic range to a subsection of a colormap
I'm surprised I can't find literature on this task, as it seems like a piece of machinery that would find many uses.
Is it possible to generate a chunk of (say) Viridis, and restore the dynamic range?
Or failing that, Is it possible to start from scratch and construct two symmetrical paths through a suitable "perceptually uniform" colourspace?