NumPy: Create a random 10x4 array and extract the first five rows of the array and store them into a variable

Last update on August 30 2025 12:29:03 (UTC/GMT +8 hours)

5. Extract First 5 Rows of 10x4 Array

Write a NumPy program to create a random 10x4 array and extract the first five rows of the array and store them into a variable.

Sample Solution :

Python Code :

# Importing the NumPy library as np
import numpy as np

# Generating a 10x4 NumPy array 'x' filled with random floats between 0 and 1 using np.random.rand()
x = np.random.rand(10, 4)

# Printing the original array 'x'
print("Original array:")
print(x)

# Selecting the first 5 rows of the array 'x' and storing it in variable 'y' using array slicing
y = x[:5, :]

# Printing the first 5 rows of the original array 'x' stored in 'y'
print("First 5 rows of the above array:")
print(y)

Sample Output:

Original array:                                                        
[[ 0.38593391  0.52823544  0.8994567   0.22097238]                     
 [ 0.16639229  0.74964167  0.58102198  0.2811601 ]                     
 [ 0.56447627  0.42575759  0.71297527  0.91099347]                     
 [ 0.00261548  0.0064798   0.66096109  0.54514293]                     
 [ 0.7216008   0.95815426  0.53370551  0.28116107]                     
 [ 0.16252081  0.26191659  0.40883164  0.60653848]                     
 [ 0.55934457  0.37814126  0.63287808  0.01856616]                     
 [ 0.03788236  0.22705078  0.82024426  0.83019741]                     
 [ 0.31140166  0.43926341  0.38685152  0.92402934]                     
 [ 0.00581032  0.83925377  0.95246879  0.28570894]]                    
First 5 rows of the above array:                                       
[[ 0.38593391  0.52823544  0.8994567   0.22097238]                     
 [ 0.16639229  0.74964167  0.58102198  0.2811601 ]                     
 [ 0.56447627  0.42575759  0.71297527  0.91099347]                     
 [ 0.00261548  0.0064798   0.66096109  0.54514293]                     
 [ 0.7216008   0.95815426  0.53370551  0.28116107]]

Explanation:

In the above code –

x = np.random.rand(10, 4): This line generates a 2-dimensional array (10x4) of random floating-point numbers using the np.random.rand() function. The input arguments 10 and 4 specify the shape of the array, which has 10 rows and 4 columns.

y = x[:5, :]: This line uses slicing to extract the first 5 rows (rows 0 to 4) of the x array. The colon : before 5 in the row slicing [:5] denotes the start of the range, which is the first row (0). The colon in the column slicing [:, :] means that all columns will be included.

print(y): This line prints the new array y, which contains the first 5 rows of the original array x

Pictorial Presentation:

NumPy Random: Create a random 10x4 array and extract the first five rows of the array and store them into a variable.

For more Practice: Solve these Related Problems:

Create a function that extracts the first n rows from a 2D array and test it on a 10x4 array.
Extract the last five rows of a 10x4 array and compare them with the first five rows for symmetry.
Split a 10x4 array into two arrays: one containing the first five rows and the other containing the rest.
Transpose the 10x4 array, extract the first five columns, and then transpose back to obtain the desired rows.

Go to:

PREV : 5x5 Array Min/Max.
NEXT : Shuffle Numbers 0-10.

Python-Numpy Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.