Matplotlib subplots() Function

Matplotlib's pyplot API has a convenient function called subplots(), which acts as a utility wrapper and helps create a common layout for subplots in a single call, including a closed graphics object. The prototype of the function is as follows:

# Filename : example.py
# Copyright :　2020 By w3codebox
# Author by : www.oldtoolbag.com
# Date :　2020-08-08
plt.subplots(nrows, ncols)

This function takes two integer parameters specifying the number of rows and columns of the subplot grid. The function returns a graphics object and a list containing an equal number of rows * ncols tuple of axis objects. Each axis object can be accessed by index. Here, we create a2rows2subplots of columns, and display4different figures.

Refer to the following implementation code:

# Filename : example.py
# Copyright :　2020 By w3codebox
# Author by : www.oldtoolbag.com
# Date :　2020-08-08
#!　/usr/bin/env python
　#coding=utf-8
　import matplotlib.pyplot as plt
　import numpy as np
　import math
　# Display Chinese settings...
　plt.rcParams['font.sans-serif'] = ['SimHei'] # Step one (replace sans-serif font)
　plt.rcParams['axes.unicode_minus'] = False # Step two (solve the problem of displaying negative signs of negative numbers on the coordinate axis)
　fig, a = plt.subplots(2,2)
　x = np.arange(1,5)
　a[0][0].plot(x, x*x)
　a[0][0].set_title('Square')
　a[0][1].plot(x, np.sqrt(x))
　a[0][1].set_title('Square Root')
　a[1][0].plot(x, np.exp(x))
　a[1][0].set_title('Exponential')
　a[1][1].plot(x, np.log10(x))
　a[1][1].set_title('log')
　plt.show()

Execute the above example code to get the following result -