# Python | Numpy np.multinomial() method

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]]

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