issues: 884649380

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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
884649380 MDU6SXNzdWU4ODQ2NDkzODA= 5287 Support for pandas Extension Arrays 1200058 closed 0     8 2021-05-10T17:00:17Z 2024-04-18T12:52:04Z 2024-04-18T12:52:04Z NONE      

Is your feature request related to a problem? Please describe. I started writing an ExtensionArray which is basically a Tuple[Array[str], Array[int], Array[int], Array[str], Array[str]]. Its scalar type is a Tuple[str, int, int, str, str].

This is working great in Pandas, I can read and write Parquet as well as csv with it. However, as soon as I'm using any .to_xarray() method, it gets converted to a NumPy array of objects. Also, converting back to Pandas keeps a Series of objects instead of my extension type.

Describe the solution you'd like Would it be possible to support Pandas Extension Types on coordinates? It's not necessary to compute anything on them, I'd just like to use them for dimensions.

Describe alternatives you've considered I was thinking over implementing a NumPy duck array, but I have never tried this and it looks quite complicated compared to the Pandas Extension types.

 
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