pull_requests: 1020278583

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
1020278583 PR_kwDOAMm_X8480Dc3 6889 closed 0 Harmonize returned multi-indexed indexes when applying `concat` along new dimension 19226431 - [x] Closes #6881 - [x] Tests added In the current implementation, the `concat` function does not ensure that the indexes that belong to the same `MultiIndex` relate to the same `MultiIndex` object in `Dataset.indexes` when concatenating along a new dimension. This becomes a problem as soon as the returned dataset needs to be aligned (for broadcasting, reindexing etc.), see #6881 for example. As far as I understand, this bug was introduced in https://github.com/pydata/xarray/pull/5692 following the idea that the `concat` function should disentangle indexes and dimensions. It can be fixed by not removing the index name from the list of indexes which should be merged, see https://github.com/pydata/xarray/blob/9050a8b9efc28142b762475c7285603a87b00e83/xarray/core/concat.py#L493. All indexes contained in this list will get a new index object. Currently, this list only contains the **levels** of a multi-indexed index, not the index name itself. This is removed as it is contained in `dim_names`. Instead of removing all dimension names from this list, I suggest to only remove unlabeled dimensions from this list. 2022-08-08T13:12:45Z 2022-08-25T14:12:55Z 2022-08-25T11:15:54Z 2022-08-25T11:15:54Z 15c61822a061153581e44d9c9387e1a352170919     0 08e9b6ebb6b7890b2ebc98474cdd667de13a47ba 790a444b11c244fd2d33e2d2484a590f8fc000ff CONTRIBUTOR   13221727 https://github.com/pydata/xarray/pull/6889  

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