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  • `rolling_exp` loses coords · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1467278730 https://github.com/pydata/xarray/issues/6870#issuecomment-1467278730 https://api.github.com/repos/pydata/xarray/issues/6870 IC_kwDOAMm_X85XdOWK dcherian 2448579 2023-03-14T03:01:29Z 2023-03-14T03:01:29Z MEMBER

Seems like we should transition this to apply_ufunc.

 
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   `rolling_exp` loses coords 1326238990
1465228869 https://github.com/pydata/xarray/issues/6870#issuecomment-1465228869 https://api.github.com/repos/pydata/xarray/issues/6870 IC_kwDOAMm_X85XVZ5F headtr1ck 43316012 2023-03-12T15:32:01Z 2023-03-12T15:32:01Z COLLABORATOR

The logic of figuring out what stays and what goes is different in DataArray and Dataset. DataArray reduces the variable and then kicks out all dims, coords, indexes that don't fit anymore. Dataset tries to do the selection on the fly (and apparently fails to do so).

 
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   `rolling_exp` loses coords 1326238990
1465227486 https://github.com/pydata/xarray/issues/6870#issuecomment-1465227486 https://api.github.com/repos/pydata/xarray/issues/6870 IC_kwDOAMm_X85XVZje headtr1ck 43316012 2023-03-12T15:25:47Z 2023-03-12T15:27:31Z COLLABORATOR

This is actually a bug in Dataset.reduce, it will drop the time index as well. See this example: ```python da = xr.DataArray([[1, 2, 3], [4, 5, 6]], dims=["x", "y"], coords={"x": [5, 6]}) da.reduce(lambda x, _, *__: x, dim="x") # has time coord

ds = xr.Dataset({"a": da}) ds.reduce(lambda x, _, *__: x, dim="x") # lost time coord ```

Probably the assumtion when writing this code was that the passed function actually reduces the dim.

 
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   `rolling_exp` loses coords 1326238990

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