Python中是否有一个按数据块对数据进行混洗的函数? [英] Is there a function in Python that shuffle data by data blocks?

问题描述

例如，关于

[1 2 3 4 5 6]

随机播放数据，同时保持数据块(包括2个数据)与以前一样.我们将获得:

Shuffle the data while keeping data blocks(including 2 data) as before. And we'll acquire:

[3 4 1 2 5 6]

Python中有什么方法可以做到这一点?

Any way in Python to do this?

推荐答案

一种简单的方法是使用以下三个步骤:

A straightforward way to do this is using the following three steps:

1. 创建块(二维列表)；
2. 随机播放列表；和
3. 再次合并这些列表.

所以:

import random

# Import data
data = [1,2,3,4,5,6]
blocksize = 2

# Create blocks
blocks = [data[i:i+blocksize] for i in range(0,len(data),blocksize)]
# shuffle the blocks
random.shuffle(blocks)
# concatenate the shuffled blocks
data[:] = [b for bs in blocks for b in bs]

如果您不想将数据存储回data中，则可以简单地使用:

If you do not want to store the data back in data, you can simply use:

data = [b for bs in blocks for b in bs]

对于我获得的这些数据:

For this data I obtained:

>>> data
[3, 4, 1, 2, 5, 6]

第二次:

>>> data
[5, 6, 1, 2, 3, 4]

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