如何执行两个列表的逐元素乘法? [英] How to perform element-wise multiplication of two lists?

问题描述

我想执行元素乘法，在 Python 中将两个列表按值相乘，就像我们在 Matlab 中可以做到的那样.

I want to perform an element wise multiplication, to multiply two lists together by value in Python, like we can do it in Matlab.

这就是我在 Matlab 中的做法.

This is how I would do it in Matlab.

a = [1,2,3,4]
b = [2,3,4,5]
a .* b = [2, 6, 12, 20]

列表推导式将给出 16 个列表条目，对于 a 和 y 的 x 的每个组合 x * y来自 b 的代码>.不确定如何映射.

A list comprehension would give 16 list entries, for every combination x * y of x from a and y from b. Unsure of how to map this.

如果有人感兴趣为什么，我有一个数据集，并且想将它乘以 Numpy.linspace(1.0, 0.5, num=len(dataset)) =).

If anyone is interested why, I have a dataset, and want to multiply it by Numpy.linspace(1.0, 0.5, num=len(dataset)) =).

推荐答案

使用与 zip(): 混合的列表推导式.

Use a list comprehension mixed with zip():.

[a*b for a,b in zip(lista,listb)]

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