Interpolation problem for sparse image data?
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 48/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- jupyter-notebook, python
- Domain
- data-visualization
Research direction
Run the Visium HD notebook and inspect the commented plotting code that produces an all-black image at a small target canvas. Compare it with the attached figure and with a large figsize such as (30, 30); done means the interpolation renders the image consistently at the smaller canvas as well.
Written by the indexing model from the issue text.
Description
While improving the Visium HD notebook after https://github.com/scverse/spatialdata-plot/issues/303 has been addressed I have noticed that there must be a problem with interpolations of images when the target canvas is small, because I can't replicate the plot shown in figure with the commented code (when I tried it shows everything black; if I put a large figsize e.g. (30, 30), I start seeing some white pixels).
To reproduce please run the Visium HD notebook.
- Dominant language
- Python
- Stars
- 86
- Forks
- 21
- Avg merge
- 14h 50m
- Merged PRs (30d)
- 3
Contributor guide
First steps
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