issues: 484212164
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 484212164 | MDExOlB1bGxSZXF1ZXN0MzEwMTQwMTI2 | 3244 | Make argmin/max work lazy with dask | 13190237 | closed | 0 | 7 | 2019-08-22T20:55:49Z | 2019-10-25T11:53:42Z | 2019-09-06T23:15:19Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/3244 | As @shoyer pointed out in https://github.com/pydata/xarray/issues/3237, nanargmax/min from numpy or dask should be used when not working on object arrays. Also, nanargmin/max were added to the nputils module so they should be using bottleneck if available.
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13221727 | pull |