pull_requests: 431208334
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 431208334 | MDExOlB1bGxSZXF1ZXN0NDMxMjA4MzM0 | 4130 | closed | 0 | Fix: apply_ufunc with exclude_dims and vectorize | 10194086 | - [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. | 2020-06-08T15:03:04Z | 2020-08-24T13:37:54Z | 2020-08-24T13:37:50Z | 2020-08-24T13:37:49Z | a75248a499f9445fee9b994b0ce688e377712086 | 0 | 0d98e3d5e7fef4e6ff3822a51d97f5de1046943b | 34aa056320654868e1f4591e1c8f466bae85efb7 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/4130 |
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