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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
279595497 MDExOlB1bGxSZXF1ZXN0MTU2NjIwNjM4 1762 ENH: Add dt.date accessor. dcherian 2448579 closed 0     5 2017-12-06T01:43:51Z 2018-05-10T05:12:15Z 2018-01-14T00:28:11Z MEMBER   0 pydata/xarray/pulls/1762

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)
 
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     xarray 13221727 pull

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