Pandas - Detecting duplicate rows in a DataFrame using duplicated()

Last update on December 21 2024 07:41:19 (UTC/GMT +8 hours)

Pandas: Data Cleaning and Preprocessing Exercise-3 with Solution

Write a Pandas program to detect duplicates using duplicated() method.

In this exercise, you will identify duplicate rows in a DataFrame using the duplicated() method.

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]
})

# Detect duplicates in the DataFrame
duplicates = df.duplicated()

# Output the result
print(duplicates)

Output:

0    False
1    False
2    False
3     True
dtype: bool

Explanation:

• Created a DataFrame with some duplicate rows.
• Used duplicated() to detect which rows are duplicates.
• Outputted a Boolean Series indicating whether each row is a duplicate.

Python-Pandas Code Editor:

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