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/2215#issuecomment-397085835,https://api.github.com/repos/pydata/xarray/issues/2215,397085835,MDEyOklzc3VlQ29tbWVudDM5NzA4NTgzNQ==,1217238,2018-06-13T21:02:44Z,2018-06-13T21:02:44Z,MEMBER,"OK, great. I'm going to close this then, and simply recommend that anyone encounter this issue try upgrading pandas.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329438885
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?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329438885
https://github.com/pydata/xarray/issues/2215#issuecomment-394765439,https://api.github.com/repos/pydata/xarray/issues/2215,394765439,MDEyOklzc3VlQ29tbWVudDM5NDc2NTQzOQ==,1217238,2018-06-05T16:01:04Z,2018-06-05T16:01:04Z,MEMBER,">  Since the align is an outer join, I would expect all the non-NaN values in the original DataArrays to also appear in the aligned DataArrays.

Sorry, I'm not quite following -- can we please give a specific example of which output from your example looks wrong, and print how it should look instead?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329438885
https://github.com/pydata/xarray/issues/2215#issuecomment-394761483,https://api.github.com/repos/pydata/xarray/issues/2215,394761483,MDEyOklzc3VlQ29tbWVudDM5NDc2MTQ4Mw==,1217238,2018-06-05T15:50:04Z,2018-06-05T15:50:04Z,MEMBER,"Thanks for the example. Can you please identify exactly which behavior you find surprising, and what you think the result *should* be?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329438885
https://github.com/pydata/xarray/issues/2215#issuecomment-394753520,https://api.github.com/repos/pydata/xarray/issues/2215,394753520,MDEyOklzc3VlQ29tbWVudDM5NDc1MzUyMA==,1217238,2018-06-05T15:28:45Z,2018-06-05T15:28:45Z,MEMBER,"Are you sure the indexes along the aligned dimensions match exactly? Small differences in floats are the most common source of this issue.

Try using `second.reindex_like(first, method='nearest')` instead of `xarray.align(first, second)`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329438885