I have a matrix of size nxm and a vector of size nx1. For example:
import numpy as np
matrix = np.array([[1, 2, 3],[4,5,6]])
vector = np.array([[10],[20]])
I want to obtain result = [[1+10, 2+10, 3+10],[4+20,5+20,6+20]] = [[11, 12, 13],[24,25,26]]
I am a little bit confused about matrix operations in python. I couldn't find the correct one to do that.
I believe you can just add themnumpy.add
import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
vector = np.array([[10], [20]])
print(vector + matrix)
Output:
[[11 12 13]
[24 25 26]]
This will give you the output when added.
matrix = [[1, 2, 3],[4,5,6]]
vector = [10,20]
result = []
x = 0
for elem in matrix:
for nums in elem:
result.append(nums+vector[x])
x += 1
print(result)
Output
[11, 12, 13, 24, 25, 26]
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