Chess Board Using MatPlotLib Python
In this article, we are going to learn how to make a chessboard using Matplotlib in Python programming language.
Prerequisites
- Basic knowledge of Python, NumPy, and Matplotlib.
- NumPy and Matplotlib should be installed in our working requirement.
Installing required libraries
To install NumPy and Matplotlib run the following commands in the command prompt.
pip install numpy pip install matplotlib
To install Numpy in Linux refer to this article How to Install Numpy on Linux? and for Matplotlib refer to this How to Install Matplotlib on Linux?
NumPy
Numpy is a package in python used for array processing. It offers a multidimensional array object with great speed and tools for working with arrays. This package is used for scientific computing with Python.
Matplotlib
Python’s Matplotlib package comes up with a complete tool for building static, animated, and interactive visualizations. It is constructed using NumPy arrays, intended to operate with the larger SciPy stack, and includes a number of graphs, including line, bar, scatter, histograms, and others.
Step-by-Step Implementation of creating a chessboard
Step 1: Importing required modules.
- Python3
Python3
# Importing Numpy import numpy as np # Importing Matplotlib import matplotlib.pyplot as plt # Importing LogNorm from matplotlib from matplotlib.colors import LogNorm |
Step 2: Assign the size of the interval dx, dy.
- Python3
Python3
# Importing required packages import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import LogNorm # Assign the size of the interval dx, dy. dx, dy = 0.015, 0.05 |
Step 3: Create an array P and Q that stores all values from the range -5 to 5 with intervals dx and dy. Then using NumPy inbuilt function arrange() to return the array of the objects.
- Python3
Python3
# Importing required packages import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import LogNorm dx, dy = 0.015, 0.05 # Create an array P and Q that store all # values from range -5 to 5 with interval # dx and dy. P = np.arange(-5.0, 5.0, dx) Q = np.arange(-5.0, 5.0, dy) |
Step 4: np.meshgrid() function is used to plot a rectangle grid with vector coordinates, So we use np.meshgrid() function to plot a rectangle grid with vector coordinates.
X, Y = np.meshgrid(x,y)
Step 5: Calculating the alternating position for coloring we are going to use an outer function. this function returns the product of two vectors and modulus the result by 2.
res = np.add.outer(range(8), range(8))%2
Step 6: Use imshow() function to plot.title() function used to set the title of the plot.
plt.imshow(res, cmap="binary_r")
Complete Code:
- Python3
Python3
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import LogNorm dx, dy = 0.016, 0.06P = np.arange(-5.0, 5.0, dx) print(P, "\n"*3) Q = np.arange(-5.0, 5.0, dy) print(Q, "\n"*3) P, Q = np.meshgrid(P, Q) print(P, "\n"*3, Q) min_max = np.min(P), np.max(P), np.min(Q), np.max(Q) res = np.add.outer(range(8), range(8)) % 2plt.imshow(res, cmap="binary_r") plt.xticks([]) plt.yticks([]) plt.title("Using Matplotlib Python to Create chessboard") plt.show() |
Output:
