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# 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``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()`

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