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 import numpy as np
import matplotlib.pyplot as plt
# Using rayleigh() method gfg = np.random.rayleigh(3.4, 50000)
plt.figure() plt.hist(gfg, bins = 50, density = True)
plt.show() |
Output :
Example #2 :
Python3
# import numpy import numpy as np
import matplotlib.pyplot as plt
# Using rayleigh() method gfg = np.random.rayleigh(2 * np.sqrt(np.pi), 100000)
plt.figure() plt.hist(gfg, bins = 50, density = True)
plt.show() |
Output :