Drop Duplicate Values in a Pandas DataFrame Column
Python
1| # Will drop any rows that contain duplicate values in the Name column 2| # but will keep the first row that contains a duplicated value 3| df.drop_duplicates(subset=['Name'], inplace=True) 4| 5| # Will drop any rows that contain duplicate values in the Name column 6| # but will keep the last row that contains a duplicated value 7| df.drop_duplicates(subset=['Name'], keep='last', inplace=True) 8| 9| # Will drop any rows that contain duplicate values in the Name column 10| df.drop_duplicates(subset=['Name'], keep=False, inplace=True)
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