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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