pull_requests: 25802877
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25802877 | MDExOlB1bGxSZXF1ZXN0MjU4MDI4Nzc= | 291 | closed | 0 | Support using dictionaries for labeled indexing | 1217238 | Fixes #187 As of this change, you can use dictionaries for indexing along a dimension, e.g., in the form `array.loc[dict(x='2000-01-01')]` or `array[dict(x=0)]`. In particular, you can use this for _assignment_, not just for selecting values (e.g., `array[dict(x=0)] = 0`). It was previously difficult to do assignment with labeled dimensions in xray. | 2014-12-10T07:14:47Z | 2014-12-11T22:28:26Z | 2014-12-11T22:28:19Z | 2014-12-11T22:28:19Z | 4564915e1fdf08baed1def669d8f453393aae66a | 836999 | 0 | 967809a1217694a31fd9b3c918ecb2bea20b5411 | 412215858a6c14b1354bf1a7c91c0177189a06c2 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/291 |
Links from other tables
- 2 rows from pull_requests_id in labels_pull_requests