在 Python 中规范化数字列表 [英] Normalizing a list of numbers in Python

问题描述

我需要对一系列值进行归一化以适应概率分布，即介于 0.0 和 1.0 之间.

I need to normalize a list of values to fit in a probability distribution, i.e. between 0.0 and 1.0.

我了解如何规范化，但很好奇 Python 是否具有自动执行此操作的功能.

I understand how to normalize, but was curious if Python had a function to automate this.

我想从:

raw = [0.07, 0.14, 0.07]  

到

normed = [0.25, 0.50, 0.25]

推荐答案

使用 :

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

针对总和进行标准化以确保总和始终为 1.0(或尽可能接近).

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

使用

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

针对最大值进行标准化

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