Pandas - Removing duplicate rows in a DataFrame using drop_duplicates()

Pandas: Data Cleaning and Preprocessing Exercise-4 with Solution

Write a Pandas program to remove duplicates rows from a DataFrame.

This exercise demonstrates how to remove duplicate rows from a DataFrame using drop_duplicates().

Sample Solution :

Code :

import pandas as pd

# Create a sample DataFrame with duplicate rows
df = pd.DataFrame({
    'Name': ['David', 'Annabel', 'Charlie', 'David'],
    'Age': [25, 30, 22, 25],
    'Salary': [50000, 60000, 70000, 50000]
})

# Remove duplicate rows from the DataFrame
df_no_duplicates = df.drop_duplicates()

# Output the result
print(df_no_duplicates)

Output:

      Name  Age  Salary
0    David   25   50000
1  Annabel   30   60000
2  Charlie   22   70000

Explanation:

• Created a DataFrame with duplicate rows.
• Used drop_duplicates() to remove duplicate rows from the DataFrame.
• Returned the DataFrame without duplicates.

Python-Pandas Code Editor:

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