mne-tools / mne-tools/mne-python
Detect badly scaled plots in raw.plot, warn and propose auto-scale
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- Python
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Description
Again on the forum: https://mne.discourse.group/t/raw-plot-shows-an-empty-figure/10371
This kind of scaling problem is common, I remember seeing it several times on the forum. How about we:
- detect data which is likely badly scaled when calling
raw.plot() - issue a warning as a pop-up window
- propose in this pop-up window to auto-scale the data
At least on the Qt backend.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the raw.plot() entry point and reproduce the empty-figure scenario described in the linked forum thread. Read the Qt backend flow to determine where badly scaled data could be detected and where a pop-up can offer auto-scaling. Done means a justified warning and auto-scale proposal appear for the problematic case in Qt without disrupting normally scaled plots.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100