Question

How do I remove duplicate rows from a DataFrame based on all columns?

Answer 1

You can use the drop_duplicates() method to remove duplicate rows based on all columns in a Pandas DataFrame. 

Here's an example:

import pandas as pd

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

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

print(df_no_duplicates)