Matplotlib’spyplot API has a convenience function called subplots() which acts as a utility wrapper and helps in creating common layouts of subplots, including the enclosing figure object, in a single call.
Plt.subplots(nrows, ncols)
The two integer arguments to this function specify the number of rows and columns of the subplot grid. The function returns a figure object and a tuple containing axes objects equal to nrows*ncols. Each axes object is accessible by its index. Here we create a subplot of 2 rows by 2 columns and display 4 different plots in each subplot.
import matplotlib.pyplot as plt fig,a = plt.subplots(2,2) import numpy as np 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('exp') a[1][1].plot(x,np.log10(x)) a[1][1].set_title('log') plt.show()
The above line of code generates the following output −