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  • fmaussion · 2 ✖

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  • bottleneck : Wrong mean for float32 array · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
290754443 https://github.com/pydata/xarray/issues/1346#issuecomment-290754443 https://api.github.com/repos/pydata/xarray/issues/1346 MDEyOklzc3VlQ29tbWVudDI5MDc1NDQ0Mw== fmaussion 10050469 2017-03-31T16:02:53Z 2017-03-31T16:02:53Z MEMBER

Does it make a difference if you load the data first? (ds.var167.load().mean()) Or use python 3?

 
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   bottleneck : Wrong mean for float32 array 218459353
290691941 https://github.com/pydata/xarray/issues/1346#issuecomment-290691941 https://api.github.com/repos/pydata/xarray/issues/1346 MDEyOklzc3VlQ29tbWVudDI5MDY5MTk0MQ== fmaussion 10050469 2017-03-31T11:50:05Z 2017-03-31T11:50:05Z MEMBER

I can't reproduce this:

```python In [6]: ds = xr.open_dataset('./Downloads/ERAIN-t2m-1983-2012.seasmean.nc')

In [7]: ds.var167.mean() Out[7]: <xarray.DataArray 'var167' ()> array(278.6246643066406, dtype=float32)

In [8]: ds.var167.data.mean() Out[8]: 278.62466 ```

which version of xarray, dask, python are you using?

 
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   bottleneck : Wrong mean for float32 array 218459353

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