pull_requests: 108710689
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 108710689 | MDExOlB1bGxSZXF1ZXN0MTA4NzEwNjg5 | 1289 | closed | 0 | Added a support for Dataset.rolling. | 6815844 | - [x] closes #859 - [x] tests added / passed - [x] passes ``git diff upstream/master | flake8 --diff`` - [x] whatsnew entry There seems to be two approaches to realize Dataset.rolling, 1. Apply rolling in each DataArrays and then combine them. 2. Apply Dataset directoly with some DataArrays that do not depend on `dim` kept aside, then merge them later. I chose the latter approach to reuse existing `Rolling` object as much as possible, but it results in some duplicates in `ImplementsRollingDatasetReduce`. Any feedbacks and comments are very welcome. | 2017-03-02T08:40:03Z | 2017-07-09T23:53:13Z | 2017-03-31T03:10:45Z | 2017-03-31T03:10:45Z | 09ef2c280677c45593d4f93a67962afc42abacf1 | 0 | 37c58f4c84f0d8743e3e175d0d2ca982bedb4425 | 371d034372bc7522098a142a0debf93916c49102 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/1289 |
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