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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Documents the new
apply_ufunc(..., vectorize=["time"])option from pydata/xarray#11681, which only loops over the given dimensions and passes all other loop dimensions to the function in bulk.vectorize=Trueexample with new latitudes that vary alongtime, then only loop overtime(12 → 4 calls), plus a short performance comparison on the full dataset (~3x faster).example-interp: section on looping over some dimensions only, replacing theapply_ufunc_vectorize_1dnotebook that is removed from the xarray docs in Fix interp performance regression for vectorized interpolation pydata/xarray#11681.This needs an xarray release that includes pydata/xarray#11681, so it stays a draft until then.
AI disclosure: the notebook changes were written with Claude Code (Opus 5.5) and executed against the xarray PR branch.
🤖 Generated with Claude Code