将加密的csv导入Python 3 [英] Import encrypted csv into Python 3

问题描述

所以我打算使用Jupyter notbook（Python 3）进行一些数据分析，出于协作原因，我想将数据存储在github repo上，但数据集是敏感的。

So I am planning to do some data analysis using a Jupyter notbook (Python 3), for collaborative reasons I want to store the data on a github repo, however the data set is sensitive.

因此，我想将数据（当前.csv）作为加密文件存储在repo上，然后在运行时将其解密（使用密码提示我猜）。

As such I would like to store the data (currently .csv) as an encrypted file on the repo and then decrypt it at runtime (with a password prompt I guess).

最好的方法是什么？

推荐答案

最后我用了python 3.6并 SimpleCrypt 加密该文件，然后将其上传。

In the end, I used python 3.6 and SimpleCrypt to encrypt the file and then uploaded it.

我认为这是我用来加密文件的代码：

I think this is the code I used to encrypt the file:

f = open('file.csv','r').read()
ciphertext = encrypt('USERPASSWORD',f.encode('utf8'))#this .encode('utf8') is the bit im unsure about
e = open('file.enc','wb') # file.enc doesn't need to exist, python will create it
e.write(ciphertext)
e.close

这是我用来解密的代码运行时，我运行 getpass（password：）作为参数，所以我不必存储密码变量内存

This is the code I use to decrypt at runtime, I run getpass("password: ") as an argument so I don't have to store a password variable in memory

from io import StringIO
import pandas as pd
from simplecrypt import encrypt, decrypt
from getpass import getpass

# opens the file
f = open('file.enc','rb').read()

print('Please enter the password and press the enter key \n Decryption may take some time')

# Decrypts the data, requires a user-input password
CSVplaintext = decrypt(getpass("password: "), f).decode('utf8')
print('Data have been Decrypted')

#create a temp csv-like file to pass to pandas.read_csv()
DATA=StringIO(CSVplaintext)

# Makes a panda dataframe with the data
df = pd.read_csv(DATA)

注意，UTF-8编码行为在python 2.7中是不同的，所以代码将略不同的。

Note, the UTF-8 encoding behaviour is different in python 2.7 so the code will be slightly different.

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