Add notebook illustration cp-measure based featurisation#143
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…a API Rebuild tutorial_cpmeasure against sq.experimental.im.calculate_image_features (SpatialData-native, per-object). Two parts: single-cell profiling on the Xenium cells() dataset, and region profiling on Visium H&E spots. Drops the pre-merge sketch (sq.exp, measurements=, cpmeasure:* flags, local zarr) and the committed outputs; outputs are regenerated against the released squidpy. Add tutorial_cpmeasure to the tutorials index.
Run end-to-end against the dev build and commit rendered outputs (5 figures). Fixes found during execution: - pass scale='scale0' to the morphology-only call (cell_labels is multiscale) - drop non-finite feature columns before AND after scaling (float32 variance underflow on near-constant columns nulls a column, breaking PCA) - %matplotlib inline + warnings suppression for a clean rendered gallery Outputs are from the dev build; they will be regenerated against the released squidpy per the deploy plan.
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