Question

How can you check for duplicate rows in a Pandas DataFrame?

Answer 1

You can check for duplicate rows in a Pandas DataFrame using the duplicated() method. This method returns a boolean Series that indicates whether each row is a duplicate or not.

Example Code :

import pandas as pd

# Create a sample DataFrame
data = {'A': [1, 2, 2, 3, 4],
        'B': ['X', 'Y', 'Y', 'Z', 'X']}
df = pd.DataFrame(data)

# Check for duplicate rows
duplicates = df.duplicated()
print(duplicates)