Update 2020
as requested by @baxxx, here is an update because random.rand is deprecated meanwhile.
This works with matplotlip 3.2.1:
from matplotlib import pyplot as plt
import random
import numpy as np
random = np.random.random ([8,90])
plt.figure(figsize = (20,2))
plt.imshow(random, interpolation='nearest')
This plots:
To change the random number, you can experiment with np.random.normal(0,1,(8,90)) (here mean = 0, standard deviation = 1).