# numpy.random.noncentral_f() in Python

• Last Updated : 15 Jul, 2020

With the help of numpy.random.noncentral_f() method, we can get the random samples from noncentral F distribution and return the random samples by using this method.

Syntax : numpy.random.noncentral_f(dfnum, dfden, nonc, size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using numpy.random.noncentral_f() method, we are able to get the random samples from noncentral F distribution by using this method.

## Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using noncentral_f() method``gfg ``=` `np.random.noncentral_f(``1.24``, ``21``, ``3``, ``1000``)`` ` `count, bins, ignored ``=` `plt.hist(gfg, ``50``, density ``=` `True``)``plt.show()`

Output :

Example #2 :

## Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using noncentral_f() method``gfg ``=` `np.random.noncentral_f(``10.23``, ``12.13``, ``3``, ``10000``)`` ` `count, bins, ignored ``=` `plt.hist(gfg, ``14``, density ``=` `True``)``plt.show()`

Output :

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