scverse / scverse/napari-spatialdata
NaN values colored if non-NaN values are only one
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 90
- Forks
- 25
- Avg merge
- 22m
- Merged PRs (30d)
- 1
Description
When the table misses some instances or contains NaN values, colors are not mapped. Specifically if:
The table contains lessinstancesthan the segmentation image inlabelsOr an observation column or X column contains NaN (because missing values have been filled up).
Actual behavior:
If an obs/X column contains NaN and the non-NaN values are all the same, all labels are visualized with color, as if it ignores the fact that some are NaN.
Expected behavior:
It does not color values that are NaN.
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
No file or test is named. Start by reproducing the described NaN and single-non-NaN-value cases in the color-mapping path, checking both observation/X columns and tables with fewer instances than the segmentation image; done means NaN values remain uncolored in each case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100