PYTHON

inverse matrix python

import numpy as np

# X is the matrix to invert
X_inverted = numpy.linalg.inv(X)

inverse matrix numpy

#You can either use the included inv fucntion
M_inverse = numpy.linalg.inv(M)

#Or use the exponent notation, which is also understood by numpy
M_inverse = M**(-1)

inverse matrix numpy

>>> import numpy as np
>>> A = np.array(([1,3,3],[1,4,3],[1,3,4]))
>>> A
array([[1, 3, 3],
       [1, 4, 3],
       [1, 3, 4]])
>>> A_inv = np.linalg.inv(A)
>>> A_inv
array([[ 7., -3., -3.],
       [-1.,  1.,  0.],
       [-1.,  0.,  1.]])

inverse matrix python numpy

from numpy.linalg import inv
a = np.array([[1., 2.], [3., 4.]])
ainv = inv(a)
np.allclose(np.dot(a, ainv), np.eye(2))
True
np.allclose(np.dot(ainv, a), np.eye(2))
True