如何使用解密密钥对 pandas 数据帧进行加密和解密?

问题描述

我有一个包含300列的df，但是我想加密一列 ID ，并且如果我将df作为csv的话，则允许其他人使用密钥解密.

I have a df with 300 columns but there is one column ID that I want to encrypt and allow anyone else with a key to decrypt if I give them the df as a csv.

这可能吗?

我知道如何对列进行哈希处理，但是据我所知，我无法对其进行哈希处理，也无法为某人提供对其进行哈希处理的密钥.

I know how to hash a column, but as far as I have read I can not unhash it or give someone a key to unhash it.

先谢谢您.

df

id
1
2
3

@Wen是一个很好的例子:

@Wen is this a good example:

(1:2), (2:3),(3:4)

新df

id
2
3
4

推荐答案

我建议使用python itsdangerous 库.这是一个简单的示例:

I'd recommend the python itsdangerous library. Here is a quick example:

from itsdangerous import URLSafeSerializer

s = URLSafeSerializer('secret-key')

print(s.dumps([1, 2, 3, 4]))

# 'WzEsMiwzLDRd.wSPHqC0gR7VUqivlSukJ0IeTDgo'

print(s.loads('WzEsMiwzLDRd.wSPHqC0gR7VUqivlSukJ0IeTDgo'))

# [1, 2, 3, 4]

秘密密钥可以在您和另一信任方之间共享，以解密字符串或列.

The secret-key can be shared between you and the other trusted party to decrypt the strings or columns.

这确实依赖于序列化，但是有些python数据类型不容易序列化，但是如果您只需要列名或类似的名称，则可以很好地工作.

This does rely on serialization however and some python data types aren't easily serialized, but if you just need a column name or something like that, this could work well.

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