Let’s see how to inverse matrix in Numpy Python library.
Numpy does have dedicated function which inverses matrices.
import numpy as np my_array = np.array([[11, 2, 3], [3, 6, 7], [6, 7, 22]]) inverted_array = np.linalg.inv(my_array) print(my_array) print(inverted_array)
As you can see it is just one line of code to inverse matrix with Numpy.
You can use inversed matrix to multiply matrices. Thanks to this you will in fact divide matrices. This is a workaround for dividing problem. It is not possible to divide matrices in Numpy but you can multiply by inversed matrix.