issues: 98587746

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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
98587746 MDU6SXNzdWU5ODU4Nzc0Ng== 508 Ignore missing variables when concatenating datasets? 1217238 closed 0     8 2015-08-02T06:03:57Z 2023-01-20T16:04:28Z 2023-01-20T16:04:28Z MEMBER      

Several users (@raj-kesavan, @richardotis, now myself) have wondered about how to concatenate xray Datasets with different variables.

With the current xray.concat, you need to awkwardly create dummy variables filled with NaN in datasets that don't have them (or drop mismatched variables entirely). Neither of these are great options -- concat should have an option (the default?) to take care of this for the user.

This would also be more consistent with pd.concat, which takes a more relaxed approach to matching dataframes with different variables (it does an outer join).

 
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