issues: 124176573

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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
124176573 MDU6SXNzdWUxMjQxNzY1NzM= 689 Should Dataset enforce some ordering of dims in its variables? 5635139 closed 0     2 2015-12-29T07:41:02Z 2015-12-29T21:20:56Z 2015-12-29T21:20:56Z MEMBER      

I'm not sure on this one. I'm currently having a bunch of issues with this sort of Dataset: (notice the dims are (d, c) and (c, d) for different variables)

python <xray.Dataset> Dimensions: (c: 193, d: 6781) Coordinates: * d (d) object 5218 5219 5220 5221 5222 5223 5224 ... * c (c) object LDS. ... j (c, d) bool False False False False ... Data variables: r (d, c) float64 nan -0.05083 nan ... s (d, c) float64 nan -0.05083 nan ... n (c, d) float64 nan nan nan nan nan ...

In my case, this is particularly painful when passing the result of ds.r.to_pandas() into a function expecting a DataFrame with a certain orientation when that orientation isn't reliable.

Is this a problem generally?

If it is, I could imagine a few solutions - enforce ordering, offer a method on a DataSet to align the dims, offer a kwarg on .to_pandas() to allow specifying the dims-axis mapping, etc

 
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