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pydata / xarray / 4981 / 3
96%
master: 96%

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DEFAULT BRANCH: master
Ran 10 Apr 2018 06:24PM UTC
Files 85
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06 Apr 2018 03:36PM UTC coverage: 69.447% (+0.009%) from 69.438%
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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

15813 of 22770 relevant lines covered (69.45%)

0.69 hits per line

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