NumPy: Shuffle specific rows of a given array

Last update on April 26 2025 12:40:20 (UTC/GMT +8 hours)

Shuffle specific rows in a 11x3 student data array.

Write a NumPy program to create a 11x3 array filled with student information (id, class and name) and shuffle the said array rows starting from 3^rd to 9^th.

Sample Solution:

Python Code:

# Importing NumPy library
import numpy as np

# Setting seed for reproducibility
np.random.seed(42) 

# Creating a NumPy array containing student data
student = np.array([
    ['stident_id', 'Class', 'Name'],
    ['01', 'V', 'Debby Pramod'],
    ['02', 'V', 'Artemiy Ellie'],
    ['03', 'V', 'Baptist Kamal'],
    ['04', 'V', 'Lavanya Davide'],
    ['05', 'V', 'Fulton Antwan'],
    ['06', 'V', 'Euanthe Sandeep'],
    ['07', 'V', 'Endzela Sanda'],
    ['08', 'V', 'Victoire Waman'],
    ['09', 'V', 'Briar Nur'],
    ['10', 'V', 'Rose Lykos']
])

# Displaying the original array
print("Original array:")
print(student)

# Shuffling rows from index 2 to 7 (3rd to 8th rows)
np.random.shuffle(student[2:8])

# Displaying the shuffled array
print("Shuffle the said array rows starting from 3rd to 9th")
print(student) 

Sample Output:

Original array:
[['stident_id' 'Class' 'Name']
 ['01' 'V' 'Debby Pramod']
 ['02' 'V' 'Artemiy Ellie']
 ['03' 'V' 'Baptist Kamal']
 ['04' 'V' 'Lavanya Davide']
 ['05' 'V' 'Fulton Antwan']
 ['06' 'V' 'Euanthe Sandeep']
 ['07' 'V' 'Endzela Sanda']
 ['08' 'V' 'Victoire Waman']
 ['09' 'V' 'Briar Nur']
 ['10' 'V' 'Rose Lykos']]
Shuffle the said array rows starting from 3rd to 9th
[['stident_id' 'Class' 'Name']
 ['01' 'V' 'Debby Pramod']
 ['02' 'V' 'Artemiy Ellie']
 ['03' 'V' 'Baptist Kamal']
 ['07' 'V' 'Endzela Sanda']
 ['04' 'V' 'Lavanya Davide']
 ['06' 'V' 'Euanthe Sandeep']
 ['05' 'V' 'Fulton Antwan']
 ['08' 'V' 'Victoire Waman']
 ['09' 'V' 'Briar Nur']
 ['10' 'V' 'Rose Lykos']]

For more Practice: Solve these Related Problems:

• Write a NumPy program to randomly shuffle a subset of rows in a 2D array using np.random.shuffle on a view.
• Create a function that accepts start and end indices to shuffle only that block of rows while leaving other rows intact.
• Implement a solution using advanced indexing to extract, shuffle, and then reinsert the specified rows into the original array.
• Test the row-shuffling function on an array with mixed data types (e.g., strings and numbers) to ensure the integrity of the data is maintained.

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