The code below allows me to add a vector to each row of a given matrix using Numpy:
import numpy as np
m = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]])
v = np.array([1, 1, 0])
print("Original vector:")
print(v)
print("Original matrix:")
print(m)
result = np.empty_like(m)
for i in range(4):
result[i, :] = m[i, :] + v
print("\nAfter adding the vector v to each row of the matrix m:")
print(result)
How do I perform a similar addition operation, but going column by column? I have tried the following:
import numpy as np
array1 = np.array([[5,5,3],[2,2,3]])
print(array1)
addition = np.array([[1],[1]])
print(addition)
for i in range(3):
array1[:,i] = array1[:,i] + addition
print(array1)
However, I get the following broadcasting error:
ValueError: could not broadcast input array from shape (2,2) into shape (2)
