How to calculate the euclidian norm of each vector in a list and add to a new list using numpy in python?

Question

I have a list L that is full of vectors, I want to calculate the norm of each of these vectors And add the values to a new list N.

I did the following (problem is it returns a single value.. instead of a list of values with all the different norms ) what should i add?

N = list() 
from numpy import linalg as LA
N.append(LA.linalg.norm(L,ord=None))
print(N)

Answer 1

Your current code LA.linalg.norm(L,ord=None) calculates a single norm value for the entire list of vectors. To calculate separate norms for each vector in your L list, you should loop over that list and append each result to the N list, eg,

N = list() 
from numpy import linalg as LA
for vector in L:
   N.append(LA.linalg.norm(vector,ord=None))
print(N)