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
137920337,MDU6SXNzdWUxMzc5MjAzMzc=,780,Index/dimension order not preserved when going from and to DataFrame,4641789,closed,0,,,5,2016-03-02T16:17:55Z,2019-02-27T22:48:20Z,2019-02-27T22:48:20Z,NONE,,,,"If I convert  DataFrame --> Dataset -->  DataFrame, then the index ordering gets switched.  Is this a bug or a feature?

```
ids = ['A','B']
heights = [1,2]
times = pd.date_range('2010-01-01', '2010-01-02', freq='1D')
names = ['id','height','time']
index = pd.MultiIndex.from_product([ids, heights, times], names=names)
f1 = pd.DataFrame(index=index)            # has ordering id, height time
f1['V1'] = np.random.ranf(size=len(f1))
f1['V2'] = np.random.ranf(size=len(f1))

ds = xr.Dataset.from_dataframe(f1)  # has ordering id, height, time
f2 = ds.to_dataframe()             # has ordering height, id, time
```
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