# Python | Numpy np.hypergeometric() method

• Last Updated : 18 Oct, 2019

With the help of `np.hypergeometric()` method, we can get the hypergeometric distribution in the form of an array by using `np.hypergeometric()` method.

Syntax : `np.hypergeometric(ngood, nbad, samples, size)`
Return : Return an array of hypergeometric distribution.

Example #1 :
In this example we can see that by using `np.hypergeometric()` method, we are able to get the hypergeometric distribution in the form of an array.

 `# import numpy``import` `numpy as np`` ` `# using np.hypergeometric() method``gfg ``=` `np.random.hypergeometric(``50``, ``5``, ``5``, ``20``)`` ` `print``(gfg)`

Output :

array([4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 4, 5, 4, 4, 5, 5, 3, 5, 4, 5])

Example #2 :

 `# import numpy``import` `numpy as np`` ` `# using np.hypergeometric() method``gfg ``=` `np.random.hypergeometric(``150``, ``50``, ``50``, ``20``)`` ` `print``(gfg)`

Output :

[37 35 40 33 43 37 38 38 36 41 42 32 36 35 36 38 35 35 36 35]

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