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issues: 420139027

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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
420139027 MDU6SXNzdWU0MjAxMzkwMjc= 2807 can the callables of apply_ufunc + dask get a typed/labeled array 280924 closed 0     5 2019-03-12T18:22:25Z 2019-10-15T15:01:08Z 2019-10-15T15:01:08Z CONTRIBUTOR      

Code Sample

```python def print_type(arr): """Generalized ufunc to print the type.""" print(f"type={type(arr)}") return arr

chunked = da.from_array(np.random.random(size=(2, 2, 2, 140, 200)), chunks=(1, 1, 1, 140, 200))

x = xr.DataArray(chunked) xr.apply_ufunc(print_type, x, dask='parallelized', output_dtypes=[np.float32]).compute() ```

Problem description

It would be great if the arrays passed to the callables were subselections of the original xarray. Advantages: labeled dimensions and coordinates

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