pull_requests: 341442128
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 341442128 | MDExOlB1bGxSZXF1ZXN0MzQxNDQyMTI4 | 3537 | closed | 0 | Numpy 1.18 support | 6213168 | Fix mean() and nanmean() for datetime64 arrays on numpy backend when upgrading from numpy 1.17 to 1.18. All other nan-reductions on datetime64s were broken before and remain broken. mean() on datetime64 and dask was broken before and remains broken. - [x] Closes #3409 - [x] Passes `black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API | 2019-11-15T12:17:32Z | 2019-11-19T14:06:50Z | 2019-11-19T14:06:46Z | 2019-11-19T14:06:46Z | 45fd0e63f43cf313b022a33aeec7f0f982e1908b | 0 | 7767fec9e5cd1e3478c2d153e4e86da30ddfb630 | 980a1d26969b603d4be61033791781abd702d02a | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/3537 |
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