Can we have different colormaps? Rainbow Colormaps are rarely the best choice to visualize data.
Hi @dn.aur
There is this Yt regarding the use of different color maps
https://mcneel.myjetbrains.com/issue/RH-89883
I’ve added this thread
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nice! hope to see it in the future, should hopefully not be too hard to implement!
also the YT is still private!
thought I changed that already, should be fixed now
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@dn.aur (or anyone else!) Do you have any thoughts about which colormap you would prefer? I thought it might make sense for there to be multiple colormaps for the user to select among. I have often used the colorcet colormaps.
Apart from making sure that the colormaps are perceptually linear and work well for people with colorblindness, it’s important to make sure there are suitable colormaps for each task. For curvature analysis, it is better to use a “diverging” colormap so that it’s possible to differentiate between regions with positive and negative curvature.
Depends really on the task. I often do FEA stress analysis and use diverging colormaps, where I take the ones from matplotlib, where one color means either tension (positive stress) or compression (negative stress) and the intensity means the absolute values.
This could be applied to curvature analysis as well, when treating the curvature as a signed property. Flat is the center and white, negative and positive curvature have opposing colors and their intensity refers to the absolute curvature.
Apart from curvature analysis one might also apply sequential colormaps.
This would be a prime example. If you have signed curvatures, then a diveriging color scheme would be the best choice.
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