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

Using pandas.concat and groupby:

dfs = [df1,df2,df3]
dfs = [d.assign(df='df%s' % n) for n, d in enumerate(dfs, start=1)]
new_df = pd.concat(dfs).groupby(['Col1', 'Col2', 'Col3','df']).size().unstack(fill_value=0)
print(new_df)

Output:

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