issues: 1175093771

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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
1175093771 I_kwDOAMm_X85GCoIL 6391 apply_ufunc and Datasets with variables without the core dimension 2448579 closed 0     5 2022-03-21T09:13:02Z 2023-09-17T08:20:15Z 2023-09-17T08:20:14Z MEMBER      

Is your feature request related to a problem?

Consider this example

python ds = xr.Dataset({"a": ("x", [1, 2, 3]), "b": ("y", [1, 2, 3])}) xr.apply_ufunc(np.mean, ds, input_core_dims=[["x"]])

This raises ValueError: operand to apply_ufunc has required core dimensions ['x'], but some of these dimensions are absent on an input variable: ['x']

because core dimension x is missing on variable b. This behaviour makes it annoying to use apply_ufunc on Datasets.

Describe the solution you'd like

Add a new kwarg to apply_ufunc called missing_core_dim that controls how to handle variables without all input core dimensions. This kwarg could take one of two values: 1. "raise" - raise an error, current behaviour 2. "copy" - skip applying the function and copy the variable from input to output. 3. "drop"- skip applying the function and drop the variable.

Describe alternatives you've considered

No response

Additional context

No response

 
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