issue_comments: 947195221

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https://github.com/pydata/xarray/issues/5877#issuecomment-947195221 https://api.github.com/repos/pydata/xarray/issues/5877 947195221 IC_kwDOAMm_X844dQ1V 8453445 2021-10-20T00:02:58Z 2021-10-20T00:02:58Z CONTRIBUTOR

Adding a few extra observations:

python ds_ex.rolling(time=3).mean().pr.values df_ex.rolling(window=3).mean().values.T have a similar behaviour, in that once again xr.rolling() doesn't have zero where it should, but pd.rolling does.

But when I switch to other operations, like var or std the behaviour is the opposite, i.e.: ds_ex.rolling(time=3).std().pr.values array([ nan, nan, 0. , 0. , 0. , 0. , 0. , 0.1461354 , 0.38218665, 3.631293 , 3.367307 , 3.6156974 , 0.61356837, 0.54522127, 0.5188016 , 0.01698606, 0.06376763, 0.05906381, 0.05098677, 1.157881 , 1.1856455 , 1.148419 , 0.09427918, 0.09427918, 0.09427926, 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], dtype=float32)

whereas

df_ex.rolling(window=3).std().values.T gives

array([[ nan, nan, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.78978585e-01, 4.68081166e-01, 4.44740760e+00, 4.12409195e+00, 4.42830679e+00, 7.51465227e-01, 6.67757461e-01, 6.35400157e-01, 2.08166670e-02, 7.81024957e-02, 7.23417792e-02, 6.24499786e-02, 1.41810905e+00, 1.45211339e+00, 1.40652052e+00, 1.15470047e-01, 1.15470047e-01, 1.15470047e-01, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08, 9.60572442e-08]])

 
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