地穴泡菜

加密的python对象序列化

CryptPickle 允许您轻松地将 python 对象加密到文件中并解密，而不管它们的内容如何。它可以是任何 python 对象，包括例如 Pandas DataFrame。

安装

pip install cryptpickle

例子

使用示例 1（使用一些敏感数据加密和解密 dict）：

import cryptpickle

# Create a dictionary with some data
# It could be any other python object. ie: a Pandas Dataframe 
ej1 = { 'name1': 'John Doe',
        'name2': 'Lisa Doe'}

# Print the data
print(ej1)

# Serialice the data in an encrypted file with a password (file.crypt)
cryptpickle.obj_to_encrypted(ej1,password="SecretPassword",path='./file.crypt')

# Load the serialiced data in other python object. Password is needed to unencrypt the data
ej2 =cryptpickle.obj_from_encrypted(password="SecretPassword",path='./file.crypt')

# Print the data
print(ej2)

使用示例 2（使用一些敏感数据加密和解密 Pandas DataFrame）：

import cryptpickle
import pandas as pd

# Create a dictionary with some data
df1 = pd.DataFrame({'A': [1, 2, 3],
                   'B': ['one', 'one', 'four']})

# Print the data
print(df1)

# Serialice the data in an encrypted file (path) with a password (password)
cryptpickle.obj_to_encrypted(df11,password="SecretPassword",path='./pd_data.crypt')

# Load the serialiced data in other Pandas DataFrame.
df2 =cryptpickle.obj_from_encrypted(password="SecretPassword",path='./pd_data.crypt')

# Print the data
print(df2)

安装并试用 (Linux)

1. 克隆此存储库并进入目录：

git clone https://github.com/privtools/CryptPickle.git
cd CryptPickle

2. 创建虚拟环境：

python3 -m venv .venv

3. 激活虚拟环境：

source .venv/bin/activate

4. 安装包：

pip install -r requirements.txt

5. 运行示例 1：

python sample1.py

5. 运行示例 2：

python sample2.py