How can you handle duplicate values in a Pandas DataFrame?
Use the df.drop_duplicates() method
Use the df.remove_duplicates() method
Use the df.drop_duplicate_rows() method
Use the df.eliminate_duplicates() method
This question is part of this quiz :
Python Numpy Quiz