issue_comments: 651467248

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https://github.com/pydata/xarray/issues/4186#issuecomment-651467248 https://api.github.com/repos/pydata/xarray/issues/4186 651467248 MDEyOklzc3VlQ29tbWVudDY1MTQ2NzI0OA== 1217238 2020-06-30T01:41:36Z 2020-06-30T01:41:36Z MEMBER

The sorting seems to be a separate matter, caused by dataframe.set_index() inside our remove_unused_levels_categories function. I think we can remove that, which will fix the sorting issue when removing unused levels. Then the result will be the desired: df.to_xarray() <xarray.Dataset> Dimensions: (lev1: 2, lev2: 1) Coordinates: * lev1 (lev1) object 'b' 'a' * lev2 (lev2) object 'foo' Data variables: C1 (lev1, lev2) int64 0 2 C2 (lev1, lev2) int64 1 3

 
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