使用 pandas 将唯一数字转换为 md5 哈希

Convert unique numbers to md5 hash using pandas

大家早上好

我想将我的社会安全号码转换为 md5 哈希十六进制数。结果应该是每个社会保险号的唯一 md5 哈希十六进制数。

我的数据格式如下:

ob = onboard[['regions','lname','ssno']][:10]
ob

    regions lname   ssno
0    Northern Region (R1)    Banderas    123456789
1    Northern Region (R1)    Garfield    234567891
2    Northern Region (R1)    Pacino  345678912
3    Northern Region (R1)    Baldwin     456789123
4    Northern Region (R1)    Brody   567891234
5    Northern Region (R1)    Johnson     6789123456
6    Northern Region (R1)    Guinness    7890123456
7    Northern Region (R1)    Hopkins     891234567
8    Northern Region (R1)    Paul    891234567
9    Northern Region (R1)    Arkin   987654321

我使用 hashlib 尝试了以下代码:

import hashlib

ob['md5'] = hashlib.md5(['ssno'])

这给了我一个错误,它必须是一个字符串而不是一个列表。所以我尝试了以下方法:

ob['md5'] = hashlib.md5('ssno').hexdigest()



regions lname   ssno    md5
0    Northern Region (R1)    Banderas    123456789   a1b3ec3d8a026d392ad551701ad7881e
1    Northern Region (R1)    Garfield    234567891   a1b3ec3d8a026d392ad551701ad7881e
2    Northern Region (R1)    Pacino  345678912   a1b3ec3d8a026d392ad551701ad7881e
3    Northern Region (R1)    Baldwin     456789123   a1b3ec3d8a026d392ad551701ad7881e
4    Northern Region (R1)    Brody   567891234   a1b3ec3d8a026d392ad551701ad7881e
5    Northern Region (R1)    Johnson     678912345   a1b3ec3d8a026d392ad551701ad7881e
6    Northern Region (R1)    Johnson     789123456   a1b3ec3d8a026d392ad551701ad7881e
7    Northern Region (R1)    Guiness     891234567   a1b3ec3d8a026d392ad551701ad7881e
8    Northern Region (R1)    Hopkins     912345678   a1b3ec3d8a026d392ad551701ad7881e
9    Northern Region (R1)    Paul    159753456   a1b3ec3d8a026d392ad551701ad7881e

这与我需要的非常接近,但无论社会保险号是否不同,所有十六进制数字的结果都是一样的。我正在尝试为每个社会安全号码获取一个具有唯一十六进制数字的十六进制数字。

有什么建议吗?

hashlib.md5 将单个字符串作为输入——您不能像某些 NumPy/Pandas 函数那样向它传递一个值数组。因此,您可以使用 list comprehension 构建 md5sums 列表:

ob['md5'] = [hashlib.md5(val).hexdigest() for val in ob['ssno']]

如果您要散列为 SHA256,则需要先将字符串编码为(可能)UTF-8:

ob['sha256'] = [hashlib.sha256(val.encode('UTF-8')).hexdigest() for val in ob['ssno']]