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pydata / xarray / 3157 / 8
96%
master: 96%

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DEFAULT BRANCH: master
Ran 29 Apr 2017 01:33AM UTC
Files 66
Run time 4s
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29 Apr 2017 01:18AM UTC coverage: 94.02% (+0.07%) from 93.952%
CONDA_ENV=py36-netcdf4-dev

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shoyer
Add DatetimeAccessor for accessing datetime fields via `.dt` attribute (#1356)

* Add DatetimeAccessor for accessing datetime fields via `.dt` attribute

* Cleaning up unit tests

* Cleaning up comments and warnings in accessors

* Indirectly access pandas tslib through Series accessors

* Re-factor injection of datetime field accessor properties

* Undo loop/injection of _get_date_field accessors

* Remove public-facing dt property

* Remove extra 'field' argument from _tslib_field_accessor

* Added support for dask arrays

* Added dask test cases
Fixed a bug where data wasn't computed in correct order

* Simplified _get_date_field for both dask/numpy arrays; additional code review cleanups

* Fixing flake8 complaints

* Adding whats-new entry

* Updated timeseries docs with note about dt accessor

* Moved season accessor to DatetimeAccessor

* Re-factor virtual variable logic to lean on DateTimeAccessor

* Added "Returns" documentation to _get_date_field
Fixed imports to facilitate more direct implementation of DateTimeAccessor as a property in DataArray
Moved _access_through_series to a top-level function in accessors.py so that dask serialization will hopefully work a bit better

* Adding timestamp accessor

* Hard-coding expected dtypes for each datetime field

* Fix typo in non-datetime virtual variable access

* Update What's New and timeseries docs

15659 of 16655 relevant lines covered (94.02%)

0.94 hits per line

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