python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
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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