NumPy: Calculate the Frobenius norm and the condition number of a given array

NumPy: Linear Algebra Exercise-19 with Solution

Write a NumPy program to calculate the Frobenius norm and the condition number of a given array.

Sample Solution:

Python Code :

import numpy as np
a = np.arange(1, 10).reshape((3, 3))
print("Original array:")
print("Frobenius norm and the condition number:")
print(np.linalg.norm(a, 'fro'))
print(np.linalg.cond(a, 'fro'))

Sample Output:

Original array:
[[1 2 3]
 [4 5 6]
 [7 8 9]]
Frobenius norm and the condition number:

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a NumPy program to compute the factor of a given array by Singular Value Decomposition.
Next: NumPy Random Exercises Home

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz

Python: Tips of the Day

Python: Use Enumerate() In for Loops

>>> students = ('John', 'Mary',  'Mike')
>>> for i, student in enumerate(students):
  ...     print(f'Iteration:  {i}, Student: {student}')
Iteration: 0, Student: John
Iteration: 1, Student: Mary
Iteration: 2, Student: Mike
>>> for i, student in enumerate(students,  35001):
  ...      print(f'Student Name: {student}, Student ID #: {i}')
Student Name: John, Student ID #: 35001
Student Name: Mary, Student ID #: 35002
Student Name: Mike, Student ID #: 35003