Pandas: How to concatenate dataframes in the following manner?

Question

I want to concatenate multiple dataframes into one dataframe. The manner I want the concatenation to happen is illustrated in the following example:

Input tables:
   A  B  C  D
0  x  p  2  4
1  y  q  3  5

   A  B  E  F
0  x  p  6  8
1  y  q  9  10

Output table:

   A  B  C  D  E  F
0  x  p  2  4  6  8
1  y  q  3  5  9  10

I want to know if this can be done using the pandas.concat command. I know this can be done through the pd.merge command.
Thanks.

Answer 1

Use set_index with list comprehension for MultiIndex and then concat:

dfs = [df1, df2, df3]

df = pd.concat([x.set_index(['A','B']) for x in dfs], axis=1)