Python – Divide each row by a vector

I have a 10×10 matrix and I want to divide each row of the matrix with the elements of a vector.

For eg:
Suppose I have a 3×3 matrix

1 1 1
2 2 2
3 3 3

and a vector [1, 2, 3]

Then this is the operation I wish to do:

1/1 1/2 1/3
2/1 2/1 2/3
3/1 3/2 3/3

i.e, divide the elements of a row by the elements of a vector(A python list)

I can do this using for loops. But, is there a better way to do this operation in python?

>Solution :

You should look into broadcasting in numpy. For your example this is the solution:

a = np.array([[1, 1, 1], [2, 2, 2], [3, 3, 3]])
b = np.array([1, 2, 3]).reshape(1, 3)
c = a / b 
print(c)
>>> [[1.         0.5        0.33333333]
     [2.         1.         0.66666667]
     [3.         1.5        1.        ]]