Normalizing a list of numbers in Python

python probability

Use :

norm = [float(i)/sum(raw) for i in raw]

to normalize against the sum to ensure that the sum is always 1.0 (or as close to as possible).

use

norm = [float(i)/max(raw) for i in raw]

to normalize against the maximum

python probability

if your list has negative numbers, this is how you would normalize it

a = range(-30,31,5)norm = [(float(i)-min(a))/(max(a)-min(a)) for i in a]

python probability

try:

normed = [i/sum(raw) for i in raw]normed[0.25, 0.5, 0.25]

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