# Python | Numpy np.multivariate_normal() method

With the help of `np.multivariate_normal()` method, we can get the array of multivariate normal values by using `np.multivariate_normal()` method.

Syntax : `np.multivariate_normal(mean, matrix, size)`
Return : Return the array of multivariate normal values.

Example #1 :
In this example we can see that by using `np.multivariate_normal()` method, we are able to get the array of multivariate normal values by using this method.

 `# import numpy ` `import` `numpy as np ` ` `  `mean ``=` `[``1``, ``2``] ` `matrix ``=` `[[``5``, ``0``], [``0``, ``5``]] ` `# using np.multinomial() method ` `gfg ``=` `np.random.multivariate_normal(mean, matrix, ``10``) ` ` `  `print``(gfg) `

Output :

[[ 6.24847794 6.57894103]
[ 1.24114594 3.22013831]
[ 3.0660329 2.1442572 ]
[ 0.3239289 2.79949784]
[-1.42964186 1.11846394]
[-0.08521476 0.74518872]
[ 1.42307847 3.27995017]
[ 3.08412374 0.45869097]
[ 2.2158498 2.97014443]
[ 1.77583875 0.57446964]]

Example #2 :

 `# import numpy ` `import` `numpy as np ` ` `  `mean ``=` `[``0``, ``0``, ``0``] ` `matrix ``=` `[[``1``, ``0``, ``0``], [``0``, ``1``, ``0``], [``0``, ``0``, ``1``]] ` `# using np.multinomial() method ` `gfg ``=` `np.random.multivariate_normal(mean, matrix, ``5``) ` ` `  `print``(gfg) `

Output :

[[-2.21792571 -1.04526811 -0.4586839 ]
[ 0.15760965 0.83934119 -0.52943583]
[-0.9978205 0.79594411 -0.00937 ]
[-0.16882821 0.1727549 0.14002367]
[-1.34406079 1.03498375 0.17620708]]

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