issue_comments: 947906426

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https://github.com/pydata/xarray/issues/5877#issuecomment-947906426 https://api.github.com/repos/pydata/xarray/issues/5877 947906426 IC_kwDOAMm_X844f-d6 8453445 2021-10-20T17:59:13Z 2021-10-20T17:59:13Z CONTRIBUTOR

Yup - just followed your suggestion and:

1) conda removed bottleneck and it removed xarray and pandas as well 2) conda installed xarray which installed xarray, pandas, and pytz

and now the xr.rolling(time=3).sum() yields:

array([ nan, nan, 0. , 0. , 0. , 0. , 0. , 0.31 , 1.23 , 9.530001 , 10.64 , 9.75 , 2.67 , 1.35 , 1.46 , 0.36999997, 0.26999998, 0.25 , 0.14999999, 2.68 , 2.56 , 2.73 , 0.39999998, 0.39999998, 0.19999999, 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], dtype=float32)

could you elaborate more on the issue? is this because of some bouncing between precisions across packages? But why do I have zeros at the beginning of the rolling sum and non zeros after having calculated a sum? it is not consistent in the behaviour.

Thanks tho! 

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