Example 1: python numpy multiply matrices
a = np.array([[-6, 1], [1, 1]])
b = np.array([[0], [8]])
c = a.dot(b)
Example 2: matrix multiplication in python
X = [[12,7,3],
[4 ,5,6],
[7 ,8,9]]
Y = [[5,8,1,2],
[6,7,3,0],
[4,5,9,1]]
result = [[0,0,0,0],
[0,0,0,0],
[0,0,0,0]]
for i in range(len(X)):
for j in range(len(Y[0])):
for k in range(len(Y)):
result[i][j] += X[i][k] * Y[k][j]
for r in result:
print(r)
Example 3: how to multiply matrices in python
>>> a = np.ones([9, 5, 7, 4])
>>> c = np.ones([9, 5, 4, 3])
>>> np.dot(a, c).shape
(9, 5, 7, 9, 5, 3)
>>> np.matmul(a, c).shape
(9, 5, 7, 3)
>>>
Example 4: python matrix multiplication
>>> a = np.array([[ 5, 1 ,3],
[ 1, 1 ,1],
[ 1, 2 ,1]])
>>> b = np.array([1, 2, 3])
>>> print a.dot(b)
array([16, 6, 8])