Extend superplot to allow normalizing data and offsetting it
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- Dominant language
- Python
- Stars
- 12
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
I'd like to extend or customize superplot to allow scaling the data in three ways: 1) add/subtract a number from the intensity (i.e. to subtract background), 2a) multiply by a number (to scale data to e.g. compare peak shape for data with different intensity) and 2b) Scale the data so its max is at 1 (after first subtracting). I've made a beautiful drawing in paint:
Contributor guide
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 locating the superplot entry point and tracing how plotted intensity data is prepared. Determine where additive offsets, multiplicative scaling, and max-to-one normalization belong, then verify that each requested mode produces the expected transformed plot data.
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Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100