Numpy Scale Range (a.k.a. Normalisation) #python #numpy

scale_range.py

import numpy as np

# scale an input array-like to a mininum and maximum number
# the input array must be of a floating point array
# if you have a non-floating point array, convert to floating using `astype('float')`
# this works with n-dimensional arrays
# it will mutate in place
# min and max can be integers
def scale_range (input, min, max):
    input += -(np.min(input))
    input /= np.max(input) / (max - min)
    input += min
    return input