Python | Numpy np.multivariate_normal() method
Last Updated :
13 Oct, 2019
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 as np
mean = [ 1 , 2 ]
matrix = [[ 5 , 0 ], [ 0 , 5 ]]
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 as np
mean = [ 0 , 0 , 0 ]
matrix = [[ 1 , 0 , 0 ], [ 0 , 1 , 0 ], [ 0 , 0 , 1 ]]
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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