NumPy: Extract all the elements of the first row from a given (4x4) array

Last update on December 21 2024 08:30:21 (UTC/GMT +8 hours)

Extract First Row of 4x4 Array

Write a NumPy program to extract all the elements of the first row from a given (4x4) array.

Pictorial Presentation:

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a NumPy array 'arra_data' containing integers from 0 to 15 and reshaping it into a 4x4 matrix
arra_data = np.arange(0, 16).reshape((4, 4))

# Displaying a message indicating the original array will be printed
print("Original array:")

# Printing the original 4x4 array 'arra_data'
print(arra_data)

# Displaying a message indicating the extracted data (first row)
print("\nExtracted data: First row")

# Printing the first row of the 'arra_data' array using slicing
print(arra_data[0]) 

Sample Output:

Original array:
[[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]
 [12 13 14 15]]

Extracted data: First row
[0 1 2 3]

Explanation:

In the above code -

arra_data = np.arange(0, 16).reshape((4, 4)): It creates a 1-dimensional NumPy array with elements from 0 to 15 (excluding 16) using np.arange(0, 16) and then reshapes it into a 2-dimensional array with 4 rows and 4 columns using .reshape((4, 4)).

print(arra_data[0]): Here print() functiont prints the first row of the array arra_data. In this case, it will print [0, 1, 2, 3]. The index 0 corresponds to the first row in the array.

Python-Numpy Code Editor: