How can I dynamically update my Matplotlib figure as the data file changes?

To update a Matplotlib figure as the data file changes, we can take the following steps −

Set the figure size and adjust the padding between and around the subplots.
Initialize variables m and n, to get a set of subplots.
Create a list of colors, to plot color dynamically.
Plot dynamic data points using plot() method with random data points.
To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt
import random

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

m = 2
n = 4

fix, axes = plt.subplots(nrows=m, ncols=n)
hexadecimal_alphabets = '0123456789ABCDEF'

color = ["#" + ''.join([random.choice(hexadecimal_alphabets)
                        for j in range(6)]) for i in range(m*n)]

for i in range(m):
   for j in range(n):
      axes[i][j].clear()
      axes[i][j].plot(np.random.rand(10), np.random.rand(10),
                     color=color[100 % np.random.randint(1, len(color))])
      plt.pause(0.1)

plt.show()