pydata / xarray / 4967
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Jobs 7
Files 84
Run time 16min
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<a href="https://github.com/pydata/xarray/commit/<a class=hub.com/pydata/xarray/commit/a5f7d6ac60e8e5682e2be739dd520b7a3bbd0fc7">a5f7d6ac6<a href="https://github.com/pydata/xarray/commit/a5f7d6ac60e8e5682e2be739dd520b7a3bbd0fc7">&quot;&gt;Isin (#2031)

* gitignore testmon

* initial isin implementation

* gitignore

* dask

* numpy version check not needed

* numpy version check for isin

* move to common

* rename data_set to ds

* Revert &amp;quot;rename data_set to ds&quot;

This reverts commit </a><a class="double-link" href="https://github.com/pydata/xarray/commit/<a class="double-link" href="https://github.com/pydata/xarray/commit/75493c2e9e1eb9b39a2222a19a7725afe1f009be">75493c2e9</a>">75493c2e9</a><a href="https://github.com/pydata/xarray/commit/a5f7d6ac60e8e5682e2be739dd520b7a3bbd0fc7">.

* &#39;expect&#39; test for dataset

* unneeded import

* formatting

* docs

* Raise an informative error message when converting Dataset -&gt; np.ndarray

Makes `np.asarray(dataset)` issue an informative error. Currently,
`np.asarray(xr.Dataset({&#39;x&#39;: 0}))` raises `KeyError: 0`, which makes no sense.

* normal tests are better than a weird middle ground

* dask test

* grammar

* try changing skip decorator ordering

* just use has_dask

* another noqa?

* flake for py3.4

* flake

22118 of 22750 relevant lines covered (97.22%)

5.19 hits per line

Jobs
ID Job ID Ran Files Coverage
1 4967.1 (CONDA_ENV=py27-min) 84
69.09
 Travis Job 4967.1
2 4967.2 (CONDA_ENV=py27-cdat+iris+pynio) 84
95.56
 Travis Job 4967.2
3 4967.3 (CONDA_ENV=py34) 84
69.37
 Travis Job 4967.3
4 4967.4 (CONDA_ENV=py35) 84
94.35
 Travis Job 4967.4
5 4967.5 (CONDA_ENV=py36) 84
95.43
 Travis Job 4967.5
7 4967.7 (CONDA_ENV=py36-hypothesis) 0
Travis Job 4967.7
8 4967.8 (CONDA_ENV=py36 EXTRA_FLAGS="--run-flaky --run-network-tests") 84
95.69
 Travis Job 4967.8
Source Files on build 4967
Coverage ∆ File Lines Relevant Covered Missed Hits/Line