Confusion of labels and images in labels_shapes_interchangeability.ipynb
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 55/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- documentation
Research direction
Open notebooks/examples/labels_shapes_interchangeability.ipynb and compare the introductory statement near line 11 with the conversion shown near line 265. Check how return_regions_as_labels=True changes the example, then update the notebook text or example so the documented shapes-to-labels behavior is explicit and verify the rendered tutorial is consistent.
Written by the indexing model from the issue text.
Description
I just went through the vectorization/rasterization tutorial.
What I found confusing is that it starts by claiming to convert between shapes and labels:
https://github.com/scverse/spatialdata-notebooks/blob/7ce65b2f8a291fa21fdb1542b91518378726b51d/notebooks/examples/labels_shapes_interchangeability.ipynb#L11
But then, later, shapes are not converted to labels, but to images:
https://github.com/scverse/spatialdata-notebooks/blob/7ce65b2f8a291fa21fdb1542b91518378726b51d/notebooks/examples/labels_shapes_interchangeability.ipynb#L265
I wanted to convert shapes to labels, but it took me a while to realize I needed to set return_regions_as_labels=True.
I imagine that converting from shape to label is needed more often, because then you can use the labels to aggregate. Would it make sense to update the example to conversion into labels instead of images?
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