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  • DataArrray.resample() appears to ignore skipna parameter while taking annual mean · 3 ✖
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1438777540 https://github.com/pydata/xarray/issues/7545#issuecomment-1438777540 https://api.github.com/repos/pydata/xarray/issues/7545 IC_kwDOAMm_X85VwgDE dcherian 2448579 2023-02-21T16:34:07Z 2023-02-21T16:34:07Z MEMBER

I think we should raise and let the user know to provide skipna, keep_attrs etc. in the actual reduction method, not the groupby.

 
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   DataArrray.resample() appears to ignore skipna parameter while taking annual mean 1593589979
1438634365 https://github.com/pydata/xarray/issues/7545#issuecomment-1438634365 https://api.github.com/repos/pydata/xarray/issues/7545 IC_kwDOAMm_X85Vv9F9 arfriedman 76110149 2023-02-21T15:01:25Z 2023-02-21T15:01:25Z CONTRIBUTOR

Thanks @keewis -- your suggestion does what I expect.

 
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   DataArrray.resample() appears to ignore skipna parameter while taking annual mean 1593589979
1438625180 https://github.com/pydata/xarray/issues/7545#issuecomment-1438625180 https://api.github.com/repos/pydata/xarray/issues/7545 IC_kwDOAMm_X85Vv62c keewis 14808389 2023-02-21T14:55:48Z 2023-02-21T14:59:06Z MEMBER

It seems that skipna has been ignored since #2541 (more than four years ago). While that might have been unintentional at the time I don't think resample should have that option, so maybe we should just raise a warning like we do for keep_attrs and eventually remove both.

Does this do what you expect? ```python In [2]: da.resample(time="A-Dec").mean(skipna=True) Out[2]: <xarray.DataArray (time: 1, value: 1)> array([[6.5]]) Coordinates: * value (value) int64 0 * time (time) datetime64[ns] 2022-12-31

In [3]: da.resample(time="A-Dec").mean(skipna=False) Out[3]: <xarray.DataArray (time: 1, value: 1)> array([[nan]]) Coordinates: * value (value) int64 0 * time (time) datetime64[ns] 2022-12-31 ```

Edit: I don't think this is related to #6772, but I'll also have a look at what's wrong there

 
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   DataArrray.resample() appears to ignore skipna parameter while taking annual mean 1593589979

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