pull_requests: 114680372
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114680372 | MDExOlB1bGxSZXF1ZXN0MTE0NjgwMzcy | 1356 | closed | 0 | Add DatetimeAccessor for accessing datetime fields via `.dt` attribute | 4992424 | - [x] Partially closes #358 - [x] tests added / passed - [x] passes ``git diff upstream/master | flake8 --diff`` - [x] whatsnew entry This uses the `register_dataarray_accessor` to add attributes similar to those in pandas` timeseries which let the users quickly access datetime fields from an underlying array of datetime-like values. The referenced issue (#358) also asks about adding similar accessors for `.str`, but this is a more complex topic - I think a compelling use-case would help in figuring out what the critical functionality is ## Virtual time fields Presumably this could be used to augment `Dataset._get_virtual_variable()`. A **season** field would need to be added as a special field to the accessor. | 2017-04-06T19:48:19Z | 2017-04-29T01:19:12Z | 2017-04-29T01:18:59Z | 2017-04-29T01:18:59Z | 8f6a68e3f821689203bce2bce52b412e9fe70b5c | 0 | b2863139ec3bc437030a48ff33a54d68ca91b026 | ab4ffee919d4abe9f6c0cf6399a5827c38b9eb5d | NONE | 13221727 | https://github.com/pydata/xarray/pull/1356 |
Links from other tables
- 0 rows from pull_requests_id in labels_pull_requests