issues: 876394165

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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
876394165 MDU6SXNzdWU4NzYzOTQxNjU= 5261 Export ufuncs from DataArray API 6130352 open 0     3 2021-05-05T12:24:03Z 2021-05-07T13:53:08Z   NONE      

Have there been discussions on promoting other ufuncs out of xr.ufuncs and into the DataArray API like DataArray.isnull or DataArray.notnull?

I can see how those two would be an exception given the pandas semantics for them, as opposed to numpy, but I am curious how to recommend best practices for our users as we build a library for genetics on Xarray.

We prefer to avoid anything in our documentation or examples outside of the Xarray API to make things simple for our users, who would likely be easily confused/frustrated by the intricacies of numpy, dask, and xarray API interactions (as we were too not long ago). To that end, we have a number of methods that produce NaN and infinite values, but recommending use of either of these to identify those values via ds.my_variable.pipe(xr.ufuncs.isfinite) or np.isfinite(ds.my_variable) is not ideal.

I would prefer ds.my_variable.isfinite() or maybe even ds.my_variable.ufuncs.isfinite(). Is there a sane way to export all of xr.ufuncs from DataArray?

 
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