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NumPy: Compute the inverse of a given matrix

NumPy: Linear Algebra Exercise-12 with Solution

Write a NumPy program to compute the inverse of a given matrix.

Sample Solution :

Python Code :

import numpy as np
m = np.array([[1,2],[3,4]])
print("Original matrix:")
print(m)
result =  np.linalg.inv(m)
print("Inverse of the said matrix:")
print(result)

Sample Output:

Original matrix:
[[1 2]
 [3 4]]
Inverse of the said matrix:
[[-2.   1. ]
 [ 1.5 -0.5]]

Python Code Editor:


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Previous: Write a NumPy program to compute the determinant of an array.
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Python: Tips of the Day

Getting the last element of a list:

some_list[-1] is the shortest and most Pythonic.

In fact, you can do much more with this syntax. The some_list[-n] syntax gets the nth-to-last element. So some_list[-1] gets the last element, some_list[-2] gets the second to last, etc, all the way down to some_list[-len(some_list)], which gives you the first element.

You can also set list elements in this way. For instance:

>>> some_list = [1, 2, 3]
>>> some_list[-1] = 5 # Set the last element
>>> some_list[-2] = 3 # Set the second to last element
>>> some_list
[1, 3, 5]

Note that getting a list item by index will raise an IndexError if the expected item doesn't exist. This means that some_list[-1] will raise an exception if some_list is empty, because an empty list can't have a last element.

Ref: https://bit.ly/3d8TfFP