How to encrypt and decrypt pandas dataframe with decryption key?

问题

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.

Is this possible?

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.

Thank you in advance.

edit:

df

id
1
2
3

@Wen is this a good example:

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

new df

id
2
3
4

回答1:

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]

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

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.

回答2:

I think you can do this way

key=dict(zip(np.arange(len(df)),df.id))
df.id=np.arange(len(df))
**# for the person do not have the key**

df
Out[640]:
   id
0   0
1   1
2   2


**# for the person who havde the key**

df.id=df.id.map(key.get)

df
Out[642]: 
   id
0   1
1   2
2   3

回答3:

You could use AES from the Crypto.Cipher library. I wrote some helper functions to encrypt sets of columns in a pandas dataframe. Examples here if helpful: https://github.com/bennywij/junk-drawer/blob/master/secret_pandas.py

来源：https://stackoverflow.com/questions/52116171/how-to-encrypt-and-decrypt-pandas-dataframe-with-decryption-key