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.

 # 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)

Output:

[]

Example #2 :

 # 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)

Output:

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

My Personal Notes arrow_drop_up Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.