Advanced Boolean indexing in Pandas DataFrame

Last update on December 21 2024 07:40:48 (UTC/GMT +8 hours)

Pandas: Advanced Indexing and Slicing Exercise-13 with Solution

Advanced Boolean Indexing:

Write a Pandas program to select rows where column 'X' > 5 and column 'Y' < 5.

Sample Solution :

Python Code :

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'X': [1, 6, 8, 3, 7],
    'Y': [5, 2, 9, 4, 1]
})

# Advanced Boolean indexing
result = df[(df['X'] > 5) & (df['Y'] < 5)]
print(result)

Output:

   X  Y
1  6  2
4  7  1

Explanation:

• Import pandas library.
• Create a DataFrame.
• Apply advanced Boolean indexing to select rows where column 'X' > 5 and column 'Y' < 5.
• Print the results.

Python-Pandas Code Editor:

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