Multiplying numpy arrays

I have written a function to multiply two numpy arrays.

def ra(self):
    """Multiply Rotation with initial Values"""
    rva = self.r_array() * self.va_array()
    rva = np.sum(rva, axis=1)  # Sum rows of Matrix
    rva = np.array([[rva[0]],  # Transpose Matrix
                    [rva[1]],
                    [rva[2]]])

where:

• r_array has 3 rows and 3 columns
• va_array has 3 rows and 1 column

I feel like this should be able to be written in one line. However, self.r_array() * self.va_array() always returns a 3 x 3 array.

Any suggestions would be greatly appreciated.

Cheers

 np.sum(r_array*va_array, axis=1, keepdims=True)

import numpy as np

a = np.array([[1,2,3],
    [4,5,6],
    [7,8,9]])

b =  np.array([[1]
    ,[2],
    [3]])
print(a * b)
print(a.dot(b))

[[ 1  2  3]
 [ 8 10 12]
 [21 24 27]]
[[14]
 [32]
 [50]]