issue_comments: 258234611

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https://github.com/pydata/xarray/issues/1072#issuecomment-258234611 https://api.github.com/repos/pydata/xarray/issues/1072 258234611 MDEyOklzc3VlQ29tbWVudDI1ODIzNDYxMQ== 5572303 2016-11-03T18:35:13Z 2016-11-03T20:25:12Z CONTRIBUTOR

So I fooled around with Pandas' combine_first:

```

df1 = pd.DataFrame({'x':[1,2,3],'z':[4,5,6]}).set_index('x') df1
z x
1 4 2 5 3 6 df2 = pd.DataFrame({'x':[1,12,13],'y':[0,5,6],'z':[7,8,9]}).set_index(['x','y']) df2 z x y
1 0 7 12 5 8 13 6 9 df1.combine_first(df2) z x y
1 0 4.0 12 5 8.0 13 6 9.0 ```

and was surprised that the indexes were not "outer-joined". Is this the behavior xarray wants to emulate?

As a mockup for xr.combine_first(arr1, arr2), I was thinking about using align([arr1, arr2], join="outer") to set up the template, and then go into the template to set the values right. Is that a sound approach? Muchas gracias.

 
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