issue_comments: 290822179

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https://github.com/pydata/xarray/issues/1346#issuecomment-290822179 https://api.github.com/repos/pydata/xarray/issues/1346 290822179 MDEyOklzc3VlQ29tbWVudDI5MDgyMjE3OQ== 6360066 2017-03-31T20:31:56Z 2017-03-31T20:31:56Z NONE

Thanks all guys for the replies. @Aegaeon I get the same your results with bottleneck... @shoyer The point is that I haven't decided the use of float32 and — yes — using .astype(np.float64) solves the issue...the point is that is not an expected behaviour, with such standard dataset I would not expect any problem related to numerical precision...

 
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