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  • jukent · 2 ✖

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  • coarsen deletes attrs on original object · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
677939698 https://github.com/pydata/xarray/issues/4120#issuecomment-677939698 https://api.github.com/repos/pydata/xarray/issues/4120 MDEyOklzc3VlQ29tbWVudDY3NzkzOTY5OA== jukent 46687291 2020-08-20T22:32:01Z 2020-08-20T22:53:14Z CONTRIBUTOR

My doubts on this are because self._replace are used elsewhere in the code.

Changing from _replace to copy causes the tests on coarsen to fail, I am looking more into this now.

It seems that a condition of copy is that the data shapes match (variable.py line 947).

If I run ds = xr.tutorial.load_dataset("air_temperature") ds.air.coarsen(lat=5) there is no problem, but once I add a .mean() to the end ds = xr.tutorial.load_dataset("air_temperature") ds.air.coarsen(lat=5).mean()

The error is ValueError: Data shape (2920, 5, 53) must match shape of object (2920, 25, 53)

 
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   coarsen deletes attrs on original object 630062936
677926857 https://github.com/pydata/xarray/issues/4120#issuecomment-677926857 https://api.github.com/repos/pydata/xarray/issues/4120 MDEyOklzc3VlQ29tbWVudDY3NzkyNjg1Nw== jukent 46687291 2020-08-20T21:56:07Z 2020-08-20T21:59:48Z CONTRIBUTOR

@dcherian Could this be because the return of variable.py/coarsen or is it likely happening earlier in the fx?

return self._replace(data=func(reshaped, axis=axes, **kwargs))

 
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   coarsen deletes attrs on original object 630062936

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