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  • shoyer · 2 ✖

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  • Problem opening unstructured grid ocean forecasts with 4D vertical coordinates · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1078695337 https://github.com/pydata/xarray/issues/2233#issuecomment-1078695337 https://api.github.com/repos/pydata/xarray/issues/2233 IC_kwDOAMm_X85AS5Wp shoyer 1217238 2022-03-25T06:20:10Z 2022-03-25T06:20:10Z MEMBER

This is the second follow-up item in https://github.com/pydata/xarray/issues/6293

I think we could definitely experiment with relaxing this constraint now, although ideally we would continue to check off auditing all of the methods in that long list first.

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  Problem opening unstructured grid ocean forecasts with 4D vertical coordinates 332471780
397370518 https://github.com/pydata/xarray/issues/2233#issuecomment-397370518 https://api.github.com/repos/pydata/xarray/issues/2233 MDEyOklzc3VlQ29tbWVudDM5NzM3MDUxOA== shoyer 1217238 2018-06-14T17:12:35Z 2018-06-14T17:12:35Z MEMBER

We currently enforce the requirement that non-1D variable cannot be assigned in a Dataset with a name that matches one of their dimensions. This is somewhat useful, because it means that dataset.variables[dim] is guaranteed to be a 1D set of coordinate labels, in the form of a xarray.IndexVariable backed by a pandas.Index.

It might make sense to relax this requirements part of the eventual "explicit indexes" refactor (https://github.com/pydata/xarray/issues/1603). Then the right way to get out an index will simply be dataset.indexes[dim] (which may or may not exist). However, this would definitely be a breaking change: it is likely that at least some code (inside and outside xarray) relies on this assumption.

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  Problem opening unstructured grid ocean forecasts with 4D vertical coordinates 332471780

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