Noisy perceptual derivatives
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- Dominant language
- Python
- Stars
- 188
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
I'm playing around with viscm and I noticed that all colormaps that I create end up with very noisy perceptual derivatives:
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?
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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.
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Assessment
- Tech stack
- matplotlib, python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 42/100