Chess Board and Fancy Manipulation in Python using Matplotlib

In this tutorial, we are going to learn how to draw a chess board using a matrix in Python?
Submitted by Anuj Singh, on August 12, 2020

Chess Board and Fancy Manipulation (1)

Matplotlib provides an inbuilt function for plotting matrices i.e. matplotlib.pyplot.matshow(). We first define a matrix with entries 0 and 1 using numpy library function numpy.array([]) and then plot it using matplotlib. There are a number of cool manipulations we can do just for fun and experimental purposes.

The following plots are a few examples of the chess board and some other manipulations.

Chess Board and Fancy Manipulation (2)

Chess Board and Fancy Manipulation (3)

Chess Board and Fancy Manipulation (4)

Chess Board and Fancy Manipulation (5)

Chess Board and Fancy Manipulation (6)

Python code for chess board and fancy manipulation using matplotlib

import matplotlib.pyplot as plt
import numpy as np

chess = np.array([[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],
                  [0,1,0,1,0,1,0,1]])

plt.figure(figsize=(10,10))
plt.imshow(chess, cmap='gray')
plt.axis(False)
plt.show()


#Chessboard Art
#Example 1
chess = np.array([[1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1]])

plt.figure(figsize=(10,10))
plt.imshow(chess, cmap='gray')
plt.axis(False)
plt.show()

#Example 2
chess = np.array([[1,0,1,0,1,0,1,0, 0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0, 0,1,0,1,0,1,0,1]])

plt.figure(figsize=(10,10))
plt.imshow(chess, cmap='gray')
plt.axis(False)
plt.show()


#Example 3
chess = np.array([[1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1],
                  [1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0, 1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1, 0,1,0,1,0,1,0,1]])

plt.figure(figsize=(10,10))
plt.imshow(chess, cmap='gray')
plt.axis(False)
plt.show()

#Example 3
chess = np.array([[1,0,1,0,1,0,1,0],
                  [0,1,0,1,0,1,0,0],
                  [1,0,1,0,1,0,0,0],
                  [0,1,0,1,0,0,0,0],
                  [1,0,1,0,0,0,0,0],
                  [0,1,0,0,0,0,0,0],
                  [1,0,0,0,0,0,0,0],
                  [0,0,0,0,0,0,0,0]])

plt.figure(figsize=(10,10))
plt.imshow(chess, cmap='gray')
plt.axis(False)
plt.show()

Output:

Output is as Figure





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