pandas merge df many to many without duplicates

Question

suppose i have two df like below:

import pandas as pd

data_dic = {
    \"a\": [0,0,1,2],
    \"b\": [3,3,4,5],
    \"c\": [6,7,8,9]
}
df1 = pd.DataFrame(dat         


        

Answer 1

You can remove the duplicated rows before merging

df = pd.merge(
    df1.drop_duplicates(), 
    df2.drop_duplicates(), 
    on=['a', 'b'], how='inner'
)
print(df)

#    a  b  c   d
# 0  0  3  6  10
# 1  0  3  7  10
# 2  1  4  8  12
# 3  2  5  9  13