NumPy: Create a 8x8 matrix and fill it with a checkerboard pattern

NumPy: Array Object Exercise-10 with Solution

Write a NumPy program to create an 8x8 matrix and fill it with a checkerboard pattern.

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a 3x3 NumPy array filled with ones
x = np.ones((3, 3))

# Printing a message indicating the checkerboard pattern
print("Checkerboard pattern:")

# Creating an 8x8 NumPy array filled with zeros and setting alternate elements to 1 to create a checkerboard pattern
x = np.zeros((8, 8), dtype=int)
x[1::2, ::2] = 1  # Setting alternate rows starting from the second row with alternate columns to 1
x[::2, 1::2] = 1  # Setting alternate rows starting from the first row with alternate columns to 1

# Printing the resulting checkerboard pattern array
print(x) 

Sample Output:

Checkerboard pattern:                                                   
[[0 1 0 1 0 1 0 1]                                                      
 [1 0 1 0 1 0 1 0]                                                      
 [0 1 0 1 0 1 0 1]                                                      
 [1 0 1 0 1 0 1 0]                                                      
 [0 1 0 1 0 1 0 1]                                                      
 [1 0 1 0 1 0 1 0]                                                      
 [0 1 0 1 0 1 0 1]                                                      
 [1 0 1 0 1 0 1 0]]

Explanation:

In the above code –

x = np.ones((3,3)): Creates a 3x3 NumPy array filled with ones. However, this line is not relevant to the final output and can be ignored.

x = np.zeros((8,8),dtype=int): Creates an 8x8 NumPy array filled with zeros, with an integer data type.

x[1::2,::2] = 1: Assigns the value 1 to every other element in every other row, starting from the second row (index 1).

x[::2,1::2] = 1: Assigns the value 1 to every other element in every other column, starting from the second column (index 1).

print(x): Prints the 8x8 NumPy array.

Python-Numpy Code Editor:

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