Most efficient way to map function over numpy array

Question

What is the most efficient way to map a function over a numpy array? The way I\'ve been doing it in my current project is as follows:

import numpy as np 

x          


        

Answer 1

Use numpy.fromfunction(function, shape, **kwargs)

See "https://docs.scipy.org/doc/numpy/reference/generated/numpy.fromfunction.html"