inverse matrix python

1import numpy as np
2
3# X is the matrix to invert
4X_inverted = numpy.linalg.inv(X)

1#You can either use the included inv fucntion
2M_inverse = numpy.linalg.inv(M)
3
4#Or use the exponent notation, which is also understood by numpy
5M_inverse = M**(-1)

1>>> import numpy as np
2>>> A = np.array(([1,3,3],[1,4,3],[1,3,4]))
3>>> A
4array([[1, 3, 3],
5       [1, 4, 3],
6       [1, 3, 4]])
7>>> A_inv = np.linalg.inv(A)
8>>> A_inv
9array([[ 7., -3., -3.],
10       [-1.,  1.,  0.],
11       [-1.,  0.,  1.]])
12