Pandas Dataframe Multiindex Merge

Question

I wanted to ask a questions regarding merging multiindex dataframe in pandas, here is a hypothetical scenario:

arrays = [[\'bar\', \'bar\', \'baz\', \'baz\'         


        

Answer 1

Other than using the indexes names as pointed by @ALollz, you can simply use loc, which will match indexes automatically

s1.loc[:, 's2'] = s2   # Or explicitly, s2['s2']

                s1           s2
first   second      
bar     one     -0.111384   -2.341803
        two     -1.226569    1.308240
baz     one      1.880835    0.697946
        two     -0.008979   -0.247896
foo     one      0.103864   -1.039990
        two      0.836931    0.000811
qux     one     -0.859005   -1.199615
        two     -0.321341   -1.098691

A general formula would be

s1.loc[:, s2.columns] = s2