html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3786#issuecomment-589708365,https://api.github.com/repos/pydata/xarray/issues/3786,589708365,MDEyOklzc3VlQ29tbWVudDU4OTcwODM2NQ==,6213168,2020-02-21T15:42:36Z,2020-02-21T15:42:36Z,MEMBER,"> This also means that either the new array is no longer C-contiguous, or the .unstack() operation has had to copy all the data to rearrange it. 

The former. As a core design principle, xarray does not care about dimensions order, and any user code that implicitly relies on it should be considered a bad design.
The .transpose() method mostly only exists for when people need to access the numpy .data object directly with a numpy function.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,568968607