Question

How can you remove all occurrences of duplicate rows in a Pandas DataFrame?

Answer 1

You can remove all occurrences of duplicate rows using the keep parameter with the value 'False' in the drop_duplicates() method.

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)

# Remove all occurrences of duplicates
df_no_duplicates = df.drop_duplicates(keep=False)
print(df_no_duplicates)