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pydata / xarray / 4981
96%

Build:
DEFAULT BRANCH: master
Ran 10 Apr 2018 06:23PM UTC
Jobs 4
Files 85
Run time 6min
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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

21923 of 22770 relevant lines covered (96.28%)

2.34 hits per line

Jobs
ID Job ID Ran Files Coverage
1 4981.1 (CONDA_ENV=py27-min) 10 Apr 2018 06:23PM UTC 0
69.17
Travis Job 4981.1
2 4981.2 (CONDA_ENV=py27-cdat+iris+pynio) 10 Apr 2018 06:29PM UTC 0
95.55
Travis Job 4981.2
3 4981.3 (CONDA_ENV=py34) 10 Apr 2018 06:24PM UTC 0
69.45
Travis Job 4981.3
7 4981.7 (CONDA_ENV=py36-hypothesis) 10 Apr 2018 06:30PM UTC 0
Travis Job 4981.7
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