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:")
result =  np.linalg.inv(m)
print("Inverse of the said matrix:")

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.
Next: Write a NumPy program to calculate the QR decomposition of a given matrix.

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Python: Tips of the Day

How to sort a Python dict by value


x1 = {'a': 5, 'b': 7, 'c': 9, 'd': 1}

sorted(x1.items(), key=lambda x: x[1])
[('d', 1), ('c', 9), ('b', 7), ('a', 5)]

# Or:

import operator
print(sorted(x1.items(), key=operator.itemgetter(1)))


[('d', 1), ('a', 5), ('b', 7), ('c', 9)]