NumPy: how to quickly normalize many vectors?

Question

How can a list of vectors be elegantly normalized, in NumPy?

Here is an example that does not work:

from numpy import *

vectors = array([arange         


        

Answer 1

there is already a function in scikit learn:

import sklearn.preprocessing as preprocessing
norm =preprocessing.normalize(m, norm='l2')*

More info at:

http://scikit-learn.org/stable/modules/preprocessing.html