pull_requests: 121379600
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 121379600 | MDExOlB1bGxSZXF1ZXN0MTIxMzc5NjAw | 1414 | closed | 0 | Speed up `decode_cf_datetime` | 102827 | - [x] Closes #1399 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API Instead of casting the input numeric dates to float, they are now casted to nanoseconds as int64 which makes `pd.to_timedelta()` work much faster (x100 speedup on my machine). On my machine all existing tests for `conventions.py` pass. Overflows should be handled by [these two already existing lines](https://github.com/cchwala/xarray/commit/d7d7c01f3e2f14c38c44e62f648b30474469b078#diff-d94eba38daa73be812c57c756f01f0daR158) since everything in the valid range of `pd.to_datetime` should be save. | 2017-05-18T21:15:40Z | 2017-07-26T07:40:24Z | 2017-07-25T17:42:52Z | 2017-07-25T17:42:52Z | d275ad6df25457b53a594953f45b252d14260115 | 0 | 3095ecc044bd5bc7107103f526ed43dfab4c64c0 | 5d245b22e9500a7eb805193ba5c65bb5474a5ae1 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/1414 |
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