对来自不同列表的相同索引的元素求和 [英] Sum elements of same index from different lists

问题描述

我有一个列表列表，其中每个内部列表代表电子表格中的一行.使用我当前的数据结构，如何对具有相同索引的内部列表中的每个元素执行操作(这基本上相当于在电子表格中的一列下执行操作.)

这是我正在寻找的示例(在加法方面)

<预><代码>>>>lisolis = [[1,2,3], [4,5,6], [7,8,9]]>>>sumindex = [1+4+7, 2+5+8, 3+6+9]>>>sumindex = [12, 15, 18]

这个问题可能可以通过切片来解决，但我无法清楚地看到如何做到这一点.有没有一个漂亮的工具/库可以为我完成这个任务?

解决方案

只需使用 zip:

sumindex = [sum(elts) for elts in zip(*lisolis)]

I have a list of lists, where each inner list represents a row in a spreadsheet. With my current data structure, how can I perform an operation on each element on an inner list with the same index ( which amounts to basically performing operations down a column in a spreadsheet.)

Here is an example of what I am looking for (in terms of addition)

>>> lisolis = [[1,2,3], [4,5,6], [7,8,9]]

>>> sumindex = [1+4+7, 2+5+8, 3+6+9]

>>> sumindex = [12, 15, 18]

This problem can probably be solved with slicing, but I'm unable to see how to do that cleanly. Is there a nifty tool/library out there that can accomplish this for me?

解决方案

Just use zip:

sumindex = [sum(elts) for elts in zip(*lisolis)]

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