View Discussion Improve Article Save Article View Discussion Improve Article Save Article With the help of numpy.random.rayleigh[] method, we can get the random samples from Rayleigh distribution and return the random samples.
Rayleigh distribution function
Syntax : numpy.random.rayleigh[scale=1.0, size=None]
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.rayleigh[] method, we are able to get the rayleigh distribution and return the random samples.
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.rayleigh[3.4, 50000]
plt.figure[]
plt.hist[gfg, bins = 50, density = True]
plt.show[]
Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.rayleigh[2 * np.sqrt[np.pi], 100000]
plt.figure[]
plt.hist[gfg, bins = 50, density = True]
plt.show[]
Output :