# Python | Numpy np.multinomial() method

• Last Updated : 13 Oct, 2019

With the help of `np.multinomial()` method, we can get the array of multinomial distribution by using `np.multinomial()` method.

Syntax : `np.multinomial(n, nval, size)`
Return : Return the array of multinomial distribution.

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

 `# import numpy``import` `numpy as np`` ` `# using np.multinomial() method``gfg ``=` `np.random.multinomial(``8``, [``0.1``, ``0.22``, ``0.333``, ``0.4444``], ``2``)`` ` `print``(gfg)`

Output :

[[1 4 2 1]
[0 0 3 5]]

Example #2 :

 `# import numpy``import` `numpy as np`` ` `# using np.multinomial() method``gfg ``=` `np.random.multinomial(``12``, [``0.1``, ``0.12``, ``0.123``, ``0.1234``, ``0.12345``], ``3``)`` ` `print``(gfg)`

Output :

[[2 0 1 1 8]
[0 1 1 1 9]
[1 1 1 0 9]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

My Personal Notes arrow_drop_up