How to count overlap rows among multiple dataframes?

Question

I have a multiple dataframe like below.

df1 = pd.DataFrame({\'Col1\':[\"aaa\",\"ffffd\",\"ggg\"],\'Col2\':[\"bbb\",\"eee\",\"hhh\"],\'Col3\':\"ccc\",\"fff\",\"         


        

Answer 1

Setup:

df1 = pd.DataFrame({'Col1':["aaa","ffffd","ggg"],'Col2':["bbb","eee","hhh"],'Col3':["ccc","fff","iii"]})
df2= pd.DataFrame({'Col1':["aaa","zzz","qqq"],'Col2':["bbb","xxx","eee"],'Col3':["ccc", "yyy","www"]})
df3= pd.DataFrame({'Col1':["rrr","zzz","qqq","ppp"],'Col2':["ttt","xxx","eee","ttt"],'Col3':["yyy","yyy","www","qqq"]})

Solution:

First create a indicate column for each dataframe, then concat, groupby and sum.

df1['df1'] = df2['df2'] = df3['df3'] = 1
(
    pd.concat([df1, df2, df3], sort=False)
    .groupby(by=['Col1', 'Col2', 'Col3'])
    .max().astype(int)
    .reset_index()
)

        Col1    Col2    Col3    df1 df2 df3
0       aaa     bbb     ccc     1   1   0
1       ffffd     eee     fff     1   0   0
2       ggg     hhh     iii     1   0   0
3       ppp     ttt     qqq     0   0   1
4       qqq     eee     www     0   1   1
5       rrr     ttt     yyy     0   0   1
6       zzz     xxx     yyy     0   1   1