Complete the function that adds 3 matrices together. The matrices will be numpy type and of the same dimension of 3 x 3. There are several ways to do this, any correct answer will be accepted. # add the matrices a,b,c together, these will have been passed to the function # as standard numpy matrices. Rememeber if you are unsure, just print the # elements to see how to access the matrix values. # there are several ways to do this, anyway you do this is fine import numpy as np def add_matrices(a,b,c): # initiate the matrix based on the assumption that the matrix is 3x3. matrix = np.zeros( [3,3]) # your code here return matrix

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Complete the function that adds 3 matrices together. The matrices will be numpy type and of the same dimension of 3 × 3. There are several ways to do this,
any correct answer will be accepted.
In [ ]: # add the matrices a,b,c together, these will have been passed to the function
# as standard numpy matrices. Rememeber if you are unsure, just print the
# elements to see how to access the matrix values.
# there are several ways to do this, anyway you do this is fine
import numpy as np
def add_matrices(a,b,c):
# initiate the matrix based on the assumption that the matrix is 3x3.
matrix = np.zeros([3,3])
# your code here
return matrix
Transcribed Image Text:Complete the function that adds 3 matrices together. The matrices will be numpy type and of the same dimension of 3 × 3. There are several ways to do this, any correct answer will be accepted. In [ ]: # add the matrices a,b,c together, these will have been passed to the function # as standard numpy matrices. Rememeber if you are unsure, just print the # elements to see how to access the matrix values. # there are several ways to do this, anyway you do this is fine import numpy as np def add_matrices(a,b,c): # initiate the matrix based on the assumption that the matrix is 3x3. matrix = np.zeros([3,3]) # your code here return matrix
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