Python-加权平均列表 [英] Python - Weighted averaging a list

问题描述

感谢您的回复.是的，我正在寻找加权平均值.

Thanks for your responses. Yes, I was looking for the weighted average.

rate = [14.424, 14.421, 14.417, 14.413, 14.41]

amount = [3058.0, 8826.0, 56705.0, 30657.0, 12984.0]

我想要基于底部列表中每个项目的顶部列表的加权平均值.

I want the weighted average of the top list based on each item of the bottom list.

因此，如果排名第一的下一项很小(例如3,058，而总数为112,230)，那么排名第一的第一项对榜首平均值的影响应较小.

So, if the first bottom-list item is small (such as 3,058 compared to the total 112,230), then the first top-list item should have less of an effect on the top-list average.

这是我尝试过的一些方法.它给了我看似正确的答案，但是我不确定它是否符合我的要求.

Here is some of what I have tried. It gives me an answer that looks right, but I am not sure if it follows what I am looking for.

for g in range(len(rate)):
    rate[g] = rate[g] * (amount[g] / sum(amount))
rate = sum(rate)

在将其他响应与我的代码进行比较之后，我决定使用邮政编码以使其尽可能短.

After comparing other responses with my code, I decided to use the zip code to keep it as short as possible.

推荐答案

for g in range(len(rate)):
   rate[g] = rate[g] * amount[g] / sum(amount)
rate = sum(rate)

与以下相同:

sum(rate[g] * amount[g] / sum(amount) for g in range(len(rate)))

与以下相同:

sum(rate[g] * amount[g] for g in range(len(rate))) / sum(amount)

与以下相同:

sum(x * y为x，y为zip(比率，金额))/sum(金额)

sum(x * y for x, y in zip(rate, amount)) / sum(amount)

结果:

14.415602815646439

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