issues: 2079089277

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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
2079089277 I_kwDOAMm_X8577GJ9 8607 allow computing just a small number of variables 14808389 open 0     4 2024-01-12T15:21:27Z 2024-01-12T20:20:29Z   MEMBER      

Is your feature request related to a problem?

I frequently find myself computing a handful of variables of a dataset (typically coordinates) and assigning them back to the dataset, and wishing we had a method / function that allowed that.

Describe the solution you'd like

I'd imagine something like python ds.compute(variables=variable_names) but I'm undecided on whether that's a good idea (it might make .compute more complex?)

Describe alternatives you've considered

So far I've been using something like python ds.assign_coords({k: lambda ds: ds[k].compute() for k in variable_names}) ds.pipe(lambda ds: ds.merge(ds[variable_names].compute())) but both are not easy to type / understand (though having .merge take a callable would make this much easier). Also, the first option computes variables separately, which may not be ideal?

Additional context

No response

 
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