Python | Numpy matrix.dot()

With the help of Numpy matrix.dot() method, we are able to find a product of two given matrix and gives output as new dimensional matrix.

Syntax : matrix.dot()

Return : Return product of two matrix



Example #1 :
In this example we can see that with the help of matrix.dot() method we are able to find the product of two given matrix.

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# import the important module in python
import numpy as np
         
# make matrix with numpy
gfg1 = np.matrix('[6, 2, 3]')
gfg2 = np.matrix('[4; 5; 9]')
         
# applying matrix.dot() method
geeks = gfg1.dot(gfg2)
   
print(geeks)

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Output:

[[61]]

Example #2 :

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# import the important module in python
import numpy as np
         
# make a matrix with numpy
gfg1 = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]')
gfg2 = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]')
         
# applying matrix.dot() method
geeks = gfg1.dot(gfg2)
   
print(geeks)

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Output:

[[ 30  36  42]
 [ 66  81  96]
 [102 126 150]]


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