# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
 
np.random.seed(19)
data = np.random.random((5, 10, 10))

 
for i in range(len(data)):
    plt.cla()
    plt.title('matplotlib.pyplot.pause() function Example\n\n Window {}'.format(i), fontweight ="bold")
    plt.imshow(data[i])
    plt.pause(0.1)

# Implementation of matplotlib function
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
 
fig = plt.figure()
ax = fig.add_subplot(111, projection ='3d')
 
X, Y, Z = axes3d.get_test_data(0.1)
ax.plot_wireframe(X, Y, Z, rstride = 5, cstride = 5)
 
for angle in range(0, 360):
    ax.view_init(30, angle)
    plt.draw()
    plt.pause(.001)
    ax.set_title('matplotlib.pyplot.pause() function Example', fontweight ="bold")