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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
932677183 MDU6SXNzdWU5MzI2NzcxODM= 5550 Dataset.transpose support for missing_dims headtr1ck 43316012 closed 0     6 2021-06-29T13:32:37Z 2021-07-17T21:02:59Z 2021-07-17T21:02:59Z COLLABORATOR      

Is your feature request related to a problem? Please describe. I have a dataset where I do not know which of two dimensions (lets call them a and b) exists in this dataset (So either it has dims ("a", "other") or ("b", "other")). I would like to make sure that this dimension is first using transpose, but currently this is only possible using if or try statements. Just using ds.transpose("a", "b", "other") raises a ValueError arguments to transpose XXX must be permuted dataset dimensions YYY.

Describe the solution you'd like It would be nice if I could just use ds.transpose("a", "b", "other", missing_dims="ignore") similar to how DataArray.transpose handles it.

Describe alternatives you've considered Currently I'm also using ds.map(lambda x: x.transpose("a", "b", "other", missing_dims="ignore")), which could (maybe?) replace the current implementation of the transpose.

While at it, transpose_coords could also be exposed to Dataset.transpose.

 
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   completed xarray 13221727 issue

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