Python数组的快速子集 [英] Quick Subsetting of Python Array

问题描述

从R到Python，我明白了为什么这么多人喜欢Python来进行数据科学.R的一个有用功能是快速子集.例如:

Coming from R to Python and I see why so many people love Python for data science. One useful feature of R is the quick subsetting. For example:

my_data = c(11,34,67,134,45,8,99,3543,1)
my_subset = c(3,8,1,6,4)
print(my_data[my_subset])
[1]  67  3543  11  8  134

一个人可以以编程方式生成满足各种条件的子集，并使用一条指令将数据过滤到该子集.如何在python中做到这一点?

One can programmatically generate subsets that satisfy various conditions and filter the data to that subset with a single instruction. How does one accomplish this in python?

推荐答案

我将继续指出明显的一线:

I'll go ahead and point out the obvious one-liner:

data = (11,34,67,134,45,8,99,3543,1)
indices = (3,8,1,6,4)
subset = [data[i] for i in indices]
print(subset)

输出:

[134, 1, 34, 99, 45]

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