pull_requests: 156620638
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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 |
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156620638 | MDExOlB1bGxSZXF1ZXN0MTU2NjIwNjM4 | 1762 | closed | 0 | ENH: Add dt.date accessor. | 2448579 | This PR lets us access `dt.date` thereby removing all higher frequency time information. *Use case:* Just like `dayofyear` but easier to interpret when only looking at 1 year of data. *Example:* Start with `da.time` ``` <xarray.DataArray 'time' (time: 8737)> array(['2014-01-01T00:00:00.000000000', '2014-01-01T01:00:00.000000000', '2014-01-01T02:00:00.000000000', ..., '2014-12-30T22:00:00.000000000', '2014-12-30T23:00:00.000000000', '2014-12-31T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 2014-01-01 2014-01-01T01:00:00 ... ``` then `da.time.dt.date` yields ``` <xarray.DataArray 'date' (time: 8737)> array(['2014-01-01T00:00:00.000000000', '2014-01-01T00:00:00.000000000', '2014-01-01T00:00:00.000000000', ..., '2014-12-30T00:00:00.000000000', '2014-12-30T00:00:00.000000000', '2014-12-31T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 2014-01-01 2014-01-01T01:00:00 ... ``` - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) - [x] Passes ``git diff upstream/master **/*py | flake8 --diff`` (remove if you did not edit any Python files) - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later) | 2017-12-06T01:43:51Z | 2018-05-10T05:12:15Z | 2018-01-14T00:28:11Z | ff2238eecd05777da0c0d7fc04140df25084f8b7 | 0 | 78ffd07dd119c3e10dc5e05ca5abd3fc333f7acc | c2b205f29467a4431baa80b5c07fe31bda67fbef | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/1762 |
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