concatenate dataframes pandas without duplicates
>>> df1
A B
0 1 2
1 3 1
>>> df2
A B
0 5 6
1 3 1
>>> pandas.concat([df1,df2]).drop_duplicates().reset_index(drop=True)
A B
0 1 2
1 3 1
2 5 6
concatenate dataframes pandas without duplicates
>>> df1
A B
0 1 2
1 3 1
>>> df2
A B
0 5 6
1 3 1
>>> pandas.concat([df1,df2]).drop_duplicates().reset_index(drop=True)
A B
0 1 2
1 3 1
2 5 6
pd.merge duplicate columns remove
#Create test data
df1 = pd.DataFrame(np.random.randint(100,size=(1000, 3)),columns=['A','B','C'])
df2 = pd.DataFrame(np.random.randint(100,size=(1000, 3)),columns=['B','C','D'])
pd.merge(df1, df2, how='inner', left_on=['B','C'], right_on=['B','C'])
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