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 |
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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 descriptionIt 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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completed | 13221727 | issue |