Noisy perceptual derivatives

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
42/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Quiet
Tech stack
matplotlib, python
Domain
data-visualization

Research direction

Start by loading the attached test_cm.jscm.txt in viscm and reproducing the noisy perceptual derivatives shown in the image. Compare the custom colormap with a built-in colormap, then trace whether the discrepancy comes from colormap creation or the viewer; done means identifying a reproducible cause and a concrete correction.

Written by the indexing model from the issue text.

Description

bug

I'm playing around with viscm and I noticed that all colormaps that I create end up with very noisy perceptual derivatives:

image

test_cm.jscm.txt

This is not a problem with the built-in colormaps, so I assume it is not a problem with the viewer, but with the colormap creation process. Any clue of what might be going on here?

Dominant language
Python
Stars
188
Forks
35
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