Compute the condition number of a given matrix using NumPy

In this article, we will use the cond() function of the NumPy package to calculate the condition number of a given matrix. cond() is a function of linear algebra module in NumPy package.

Syntax: 

numpy.linalg.cond(x, p=None)

Example 1: Condition Number of 2X2 matrix

Output:

Original matrix:
[[4 2]
 [3 1]]
Condition number of the matrix:
14.933034373659256

Example 2: Condition Number of 3X3 matrix

Output:

Original matrix:
[[4 2 0]
 [3 1 2]
 [1 6 4]]
Condition number of the matrix:
5.347703616656448

Example 3: Condition Number of 4X4 matrix

Output:

Original matrix:
[[4 1 4 2]
 [3 1 2 0]
 [3 5 7 1]
 [0 6 8 4]]
Condition number of the matrix:
57.34043866386226