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pydata / xarray / 4968 / 8
96%
master: 96%

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DEFAULT BRANCH: master
Ran 06 Apr 2018 03:55PM UTC
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06 Apr 2018 03:36PM UTC coverage: 95.678% (-0.01%) from 95.692%
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isin: better docs, support older numpy and use dask.array.isin. (#2038)

* isin: better docs, support older numpy and use dask.array.isin.

I added a section to the indexing docs showing how to use `isin` with `where`
to do idnexing.

Adding support for older numpy turned out to be pretty easy, so I added a copy
of np.isin in npcompat.

This PR also makes use of dask.array.isin, so that we can support a dask array
properly as the second argument:
https://github.com/dask/dask/pull/3363

* lint

* more lint

* yet more lint

21785 of 22769 relevant lines covered (95.68%)

0.96 hits per line

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