issues: 384002323

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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
384002323 MDU6SXNzdWUzODQwMDIzMjM= 2570 np.clip() executes eagerly 1200058 closed 0     4 2018-11-24T16:25:03Z 2023-12-03T05:29:17Z 2023-12-03T05:29:17Z NONE      

Example:

python x = xr.DataArray(np.random.uniform(size=[100, 100])).chunk(10) x

<xarray.DataArray (dim_0: 100, dim_1: 100)> dask.array<shape=(100, 100), dtype=float64, chunksize=(10, 10)> Dimensions without coordinates: dim_0, dim_1

python np.clip(x, 0, 0.5)

<xarray.DataArray (dim_0: 100, dim_1: 100)> array([[0.264276, 0.32227 , 0.336396, ..., 0.110182, 0.28255 , 0.399041], [0.5 , 0.030289, 0.5 , ..., 0.428923, 0.262249, 0.5 ], [0.5 , 0.5 , 0.280971, ..., 0.427334, 0.026649, 0.5 ], ..., [0.5 , 0.5 , 0.294943, ..., 0.053143, 0.5 , 0.488239], [0.5 , 0.341485, 0.5 , ..., 0.5 , 0.250441, 0.5 ], [0.5 , 0.156285, 0.179123, ..., 0.5 , 0.076242, 0.319699]]) Dimensions without coordinates: dim_0, dim_1

python x.clip(0, 0.5)

<xarray.DataArray (dim_0: 100, dim_1: 100)> dask.array<shape=(100, 100), dtype=float64, chunksize=(10, 10)> Dimensions without coordinates: dim_0, dim_1

Problem description

Using np.clip() directly calculates the result, while xr.DataArray.clip() does not.

 
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   not_planned 13221727 issue

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