numpy.random.rayleigh() in python
Last Updated :
18 Aug, 2020
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()
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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()
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Output :
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