issues: 205455788

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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
205455788 MDU6SXNzdWUyMDU0NTU3ODg= 1251 Consistent naming for xarray's methods that apply functions 1217238 closed 0     13 2017-02-05T21:27:24Z 2022-04-27T20:06:25Z 2022-04-27T20:06:25Z MEMBER      

We currently have two types of methods that take a function to apply to xarray objects: - pipe (on DataArray and Dataset): apply a function to this entire object (array.pipe(func) -> func(array)) - apply (on Dataset and GroupBy): apply a function to each labeled object in this object (e.g., ds.apply(func) -> ds({k: func(v) for k, v in ds.data_vars.items()})).

And one more method that we want to add but isn't finalized yet -- currently named apply_ufunc: - Apply a function that acts on unlabeled (i.e., numpy) arrays to each array in the object

I'd like to have three distinct names that makes it clear what these methods do and how they are different. This has come up a few times recently, e.g., https://github.com/pydata/xarray/issues/1130

One proposal: rename apply to map, and then use apply only for methods that act on unlabeled arrays. This would require a deprecation cycle, but eventually it would let us add .apply methods for handling raw arrays to both Dataset and DataArray. (We could use a separate apply method from apply_ufunc to convert dim arguments to axis and not do automatic broadcasting.)

 
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