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issues: 955936490

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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
955936490 MDU6SXNzdWU5NTU5MzY0OTA= 5647 Flexible indexes: review the implementation of alignment and merge 4160723 closed 0     12 2021-07-29T15:03:23Z 2022-09-07T09:47:13Z 2022-09-07T09:47:13Z MEMBER      

The current implementation of the align function is problematic in the context of flexible indexes because:

  • the sizes of the joined indexes are reused for checking compatibility with unlabelled dimension sizes
  • the joined indexes are used as indexers to compute the aligned Dataset / DataArray.

This currently works well since a pd.Index can be directly treated as a 1-d array but this won’t be always the case anymore with custom indexes.

I'm opening this issue to gather ideas on how best to handle alignment in a more flexible way (I haven't been thinking much at this problem yet).

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