issue_comments: 394911109

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https://github.com/pydata/xarray/issues/2215#issuecomment-394911109 https://api.github.com/repos/pydata/xarray/issues/2215 394911109 MDEyOklzc3VlQ29tbWVudDM5NDkxMTEwOQ== 1217238 2018-06-06T01:30:51Z 2018-06-06T01:30:51Z MEMBER

This what I see when printing aligned from your example: In [26]: aligned Out[26]: (<xarray.DataArray (x: 20, y: 5)> array([[ 0., nan, nan, nan, nan], [nan, 1., nan, nan, nan], [nan, nan, 2., nan, nan], [nan, nan, nan, 3., nan], [nan, nan, nan, nan, 4.], [ 5., nan, nan, nan, nan], [nan, 6., nan, nan, nan], [nan, nan, 7., nan, nan], [nan, nan, nan, 8., nan], [nan, nan, nan, nan, 9.], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan]]) Coordinates: * x (x) MultiIndex - ints (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 - nans (x) float64 nan nan nan nan nan nan nan nan nan nan nan nan nan ... * y (y) object 'a' 'b' 'c' 'd' 'e', <xarray.DataArray (x: 20, y: 5)> array([[nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [nan, nan, nan, nan, nan], [ 0., nan, nan, nan, nan], [nan, 1., nan, nan, nan], [nan, nan, 2., nan, nan], [nan, nan, nan, 3., nan], [nan, nan, nan, nan, 4.], [ 5., nan, nan, nan, nan], [nan, 6., nan, nan, nan], [nan, nan, 7., nan, nan], [nan, nan, nan, 8., nan], [nan, nan, nan, nan, 9.]]) Coordinates: * x (x) MultiIndex - ints (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 - nans (x) float64 nan nan nan nan nan nan nan nan nan nan nan nan nan ... * y (y) object 'a' 'b' 'c' 'd' 'e')

The only material difference I can see in our environments is that I'm running pandas 0.23 and you're running pandas 0.22. Can you try updating pandas and see if that fixes the issue?

 
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