import numpy as np # X is the matrix to invert X_inverted = numpy.linalg.inv(X)
#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)
>>> 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.]])