issue_comments: 233994941

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https://github.com/pydata/xarray/issues/906#issuecomment-233994941 https://api.github.com/repos/pydata/xarray/issues/906 233994941 MDEyOklzc3VlQ29tbWVudDIzMzk5NDk0MQ== 1217238 2016-07-20T15:58:15Z 2016-07-20T15:58:15Z MEMBER

Here are two examples where we would need to do pick-by-index on the data no matter what:

python def demo_unstack(index): index = pandas.MultiIndex.from_tuples(index, names=['x', 'count']) s = pandas.Series(list(range(len(index))), index) print(s.unstack())

There is no order for one or more of the levels would be sorted:

python demo_unstack([ ['x0', 'first' ], ['x0', 'second'], ['x0', 'third' ], ['x1', 'third' ], ['x1', 'second'], ['x1', 'first' ], ])

count first second third x x0 0 1 2 x1 5 4 3 In [ ]:

Even more pathological: the multi-index doesn't even fill out every value in the cartesian product:

python demo_unstack([ ['x1', 'first' ], ['x1', 'second'], ['x0', 'first' ], ])

count first second x x0 2.0 NaN x1 0.0 1.0

 
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