Question

How do you handle duplicate rows in a Pandas DataFrame?

Answer 1

You can use the drop_duplicates() method to remove duplicate rows from a Pandas DataFrame.

Example Code:

# Remove duplicate rows based on all columns
df.drop_duplicates(inplace=True)

# Remove duplicate rows based on specific columns
df.drop_duplicates(subset=['Column1', 'Column2'], inplace=True)