issue_comments: 290747253

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/1346#issuecomment-290747253 https://api.github.com/repos/pydata/xarray/issues/1346 290747253 MDEyOklzc3VlQ29tbWVudDI5MDc0NzI1Mw== 5852283 2017-03-31T15:38:12Z 2017-03-31T15:53:07Z CONTRIBUTOR

Also on macOS, and I can reproduce.

Using python 2.7.11, xarray 0.9.1, dask 0.14.1 installed through Anaconda. I get the same results with xarray 0.9.1-38-gc0178b7 from GitHub.

```python In [3]: ds = xarray.open_dataset('ERAIN-t2m-1983-2012.seasmean.nc')

In [4]: ds.var167.mean() Out[4]: <xarray.DataArray 'var167' ()> array(261.6441345214844, dtype=float32) ```

Curiously, I get the right results with skipna=False...

python In [10]: ds.var167.mean(skipna=False) Out[10]: <xarray.DataArray 'var167' ()> array(278.6246643066406, dtype=float32)

... or by specifying coordinates to average over:

python In [5]: ds.var167.mean(('time', 'lat', 'lon')) Out[5]: <xarray.DataArray 'var167' ()> array(278.6246643066406, dtype=float32)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   218459353