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

rename_axis

You can rename the index levels of one and let join do its thing

s1.join(s2.rename_axis(s1.index.names))

                    s1        s2
first second                    
bar   one    -0.696420 -1.040463
      two     0.640891  1.483262
baz   one     1.598837  0.097424
      two     0.003994 -0.948419
foo   one    -0.717401  1.190019
      two    -1.201237 -0.000738
qux   one     0.559684 -0.505640
      two     1.979700  0.186013

---

concat

pd.concat([s1, s2], axis=1)

                    s1        s2
first second                    
bar   one    -0.696420 -1.040463
      two     0.640891  1.483262
baz   one     1.598837  0.097424
      two     0.003994 -0.948419
foo   one    -0.717401  1.190019
      two    -1.201237 -0.000738
qux   one     0.559684 -0.505640
      two     1.979700  0.186013