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 −