issue_comments: 736713989

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https://github.com/pydata/xarray/issues/4625#issuecomment-736713989 https://api.github.com/repos/pydata/xarray/issues/4625 736713989 MDEyOklzc3VlQ29tbWVudDczNjcxMzk4OQ== 2448579 2020-12-01T17:47:44Z 2020-12-01T17:47:44Z MEMBER

Yes something like what you have with python with raise_if_dask_computes(): ds.resample(time='3AS').map(mean_func)

BUT something is wrong with my explanation above. The error is only triggered when the number of timesteps is not divisble by the resampling frequency. If you set periods=3 when creating t, the old version works fine, if you change it to 4 it computes. But setting deep=False fixes it in all cases. I am v. confused!

 
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