issues: 523438384
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 523438384 | MDExOlB1bGxSZXF1ZXN0MzQxNDQyMTI4 | 3537 | Numpy 1.18 support | 6213168 | closed | 0 | 13 | 2019-11-15T12:17:32Z | 2019-11-19T14:06:50Z | 2019-11-19T14:06:46Z | MEMBER | 0 | pydata/xarray/pulls/3537 | 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.
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13221727 | pull |