issues: 2136443747

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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
2136443747 I_kwDOAMm_X85_V4tj 8752 Smarter Dataset quantile method? 56110893 open 0     1 2024-02-15T12:50:32Z 2024-02-17T08:55:58Z   NONE      

What is your issue?

Calling ds.quantile(..., dim="x") result in all data variables in ds being modified to have a quantile dimension regardless of whether they had x as a dimension to begin with.

Is this intended? Can ds.quantile(..., dim="x") be called such that only data variables in ds that had x as a dimension end up with the x dimension being replaced by quantile dimension?

In my case I have a dimensionless data variable which I want to keep dimensionless. I know workaround are to either decode_coords="all" beforehand, or to do something like ds[my_dimensionless_var].isel(quantile=-1, drop=True) afterwards... but just checking if that is expected behaviour.

 
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     13221727 issue

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