issues: 484636272
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 484636272 | MDExOlB1bGxSZXF1ZXN0MzEwNDczMTM5 | 3254 | Fix duck array ops that were calling bottleneck on sparse arrays | 1217238 | closed | 0 | 0 | 2019-08-23T17:31:11Z | 2019-08-24T05:30:26Z | 2019-08-24T05:08:57Z | MEMBER | 0 | pydata/xarray/pulls/3254 | min and max are now working. notnull was already fixed by one of my earlier PRs. std/var/median are still broken, but only because sparse hasn't implemented the corresponding NumPy functions yet (nanstd, nanvar and nanmedian). rank needs pure NumPy implementation (not via bottleneck) if we want it to work on sparse or dask arrays.
|
{
"url": "https://api.github.com/repos/pydata/xarray/issues/3254/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
13221727 | pull |