issues: 634700536

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
634700536 MDExOlB1bGxSZXF1ZXN0NDMxMjA4MzM0 4130 Fix: apply_ufunc with exclude_dims and vectorize 10194086 closed 0     10 2020-06-08T15:03:04Z 2020-08-24T13:37:54Z 2020-08-24T13:37:50Z MEMBER   0 pydata/xarray/pulls/4130
  • [x] Closes #3890
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

This would be pretty useful when using apply_ufunc for e.g. statistical tests that require vectorize=True and can consume data of unequal length (i.e. uses exclude_dims). This should also extend to dask arrays with dask="parallelized" once #4060 is implemented.

 
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