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

NumPy: Array Object Exercise-135 with Solution

Write a NumPy program to extract all the elements of the second 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 (second row)
print("\nExtracted data: Second row")

# Printing the second row of the 'arra_data' array using row indexing
print(arra_data[1, :])

Sample Output:

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

Extracted data: Second row
[4 5 6 7]

Explanation:

In the above code -

arra_data = np.arange(0, 16).reshape((4, 4)): This line 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[1, :]): Here print() function prints the second row of the array arra_data. In this case, it will print [4, 5, 6, 7]. The index 1 corresponds to the second row in the array, and the colon : indicates that all columns should be included.

Python-Numpy Code Editor:

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