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

Alright: NumPy's array shape broadcast adds dimensions to the left of the array shape, not to its right. NumPy can however be instructed to add a dimension to the right of the norms array:

print vectors.T / norms[:, newaxis]

does work!