API · NumPy
Python Numpy.linalg.inv() - Inverse Matrix
Python numpy.linalg.inv() function computes the inverse of the given matrix.
Numpy.linalg.inv() computes the inverse of the given matrix.
Syntax of numpy.linalg.inv()
numpy.linalg.inverse(arr)
Parameters
arr |
input array |
Return
It returns the inverse of the given matrix.
It raises the error if the given matrix is not square or inversion fails.
Example Codes: numpy.linalg.inv() Method
import numpy as np
arr = np.array([[1, 3], [5, 7]])
arr_inv = np.linalg.inv(arr)
print(arr_inv)
Output:
[[-0.875 0.375]
[ 0.625 -0.125]]
Example Codes: numpy.linalg.inv() Method With matrix Input
If the given input is a numpy matrix, then inv() also returns a matrix.
import numpy as np
arr = np.matrix([[1, 3], [5, 7]])
arr_inv = np.linalg.inv(arr)
print(arr_inv, type(arr_inv))
Output:
[[-0.875 0.375]
[ 0.625 -0.125]] <class 'numpy.matrix'>
Example Codes: numpy.linalg.inv() With matrix Array
import numpy as np
arr = np.array([[[1, 3], [5, 7]], [[2, 5], [4, 6]]])
arr_inv = np.linalg.inv(arr)
print(arr_inv)
Output:
[[[-0.875 0.375]
[ 0.625 -0.125]]
[[-0.75 0.625]
[ 0.5 -0.25 ]]]
If the input array consists of multiple matrices, the numpy linalg.inv() method computes the inverse of them at once.
