issues: 538909075

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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
538909075 MDU6SXNzdWU1Mzg5MDkwNzU= 3633 How to ignore non-existing dims given in chunks? 5700886 closed 1     2 2019-12-17T08:19:45Z 2023-08-02T19:51:36Z 2023-08-02T19:51:36Z CONTRIBUTOR      

Is there a way of over-specifying chunks upon opening a dataset without throwing an error?

Currently, giving chunk sizes along dimensions that are not present in the dataset fails with a ValueError: python da = xr.DataArray(np.arange(10), dims=("x", ), name="example_data") da.to_dataset().to_netcdf("example.nc") ds = xr.open_dataset("example.nc", chunks={"x": 5, "y": 1})

 
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