python-scipyHow can I use python scipy to calculate the norm of a vector?

Using Python Scipy, the norm of a vector can be calculated using the la.norm function. This function takes in three parameters, the vector, the order of the norm (default is 2) and an axis (default is None).

Example code

import scipy.linalg as la

vector = [1,2,3,4]
result = la.norm(vector)

print(result)

Output example

5.477225575051661

The code consists of the following parts:

1. Importing the scipy.linalg module as la - This imports the module and gives it the alias la, which will be used to call the norm function.
2. Creating the vector - This creates a vector of 4 elements.
3. Calculating the norm - This uses the la.norm function to calculate the norm of the vector. This function takes in three parameters, the vector, the order of the norm (default is 2) and an axis (default is None).
4. Printing the result - This prints the result of the calculation.

Helpful links

• Scipy Documentation

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