﻿ NumPy: Calculate the Frobenius norm and the condition number of a given array - w3resource # 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(a)
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:
16.8819430161
4.56177073661e+17
```

Python Code Editor:

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## 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
```