Export ufuncs from DataArray API

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?

Start by reviewing the existing xr.ufuncs and DataArray APIs, including the isnull and notnull methods mentioned in the issue. Determine whether the requested export should cover all ufuncs or selected operations, and document the API decision and its user-facing guidance as the definition of done.