issues: 1327082521

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1327082521 PR_kwDOAMm_X848kdpQ 6873 rely on `numpy`'s version of `nanprod` and `nansum` 14808389 closed 0     1 2022-08-03T11:33:35Z 2022-08-09T17:31:27Z 2022-08-09T14:55:21Z MEMBER   0 pydata/xarray/pulls/6873

At the moment, nanprod and nansum will replace any nan values with 1 for nanprod or 0 for nansum. For pint, inserting dimensionless values into quantities is explicitly not allowed, so our version of nanprod cannot be used on pint quantities (0 is a exception so nansum does work).

I'm proposing to rely on numpy's version for that, which would allow pint to customize the behavior.

 
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