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

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Python: Tips of the Day

Python: The Zip() Function

>>> students = ('John', 'Mary', 'Mike')
>>> ages = (15, 17, 16)
>>> scores = (90, 88, 82, 17, 14)
>>> for student, age, score in zip(students, ages, scores):
...     print(f'{student}, age: {age}, score: {score}')
... 
John, age: 15, score: 90
Mary, age: 17, score: 88
Mike, age: 16, score: 82
>>> zipped = zip(students, ages, scores)
>>> a, b, c = zip(*zipped)
>>> print(b)
(15, 17, 16)