issue_comments: 290755867

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https://github.com/pydata/xarray/issues/1346#issuecomment-290755867 https://api.github.com/repos/pydata/xarray/issues/1346 290755867 MDEyOklzc3VlQ29tbWVudDI5MDc1NTg2Nw== 5852283 2017-03-31T16:07:56Z 2017-03-31T16:07:56Z CONTRIBUTOR

I think this might be a problem with bottleneck? My interpretation of _create_nan_agg_method in xarray/core/ops.py is that it may use bottleneck to get the mean unless you pass skipna=False or specify multiple axes. And,

```python In [2]: import bottleneck In [3]: bottleneck.version Out[3]: '1.2.0'

In [6]: bottleneck.nanmean(ds.var167.data) Out[6]: 261.6441345214844 ```

Forgive me if I'm wrong, I'm still a bit new.

 
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