pandas - 州缩写和州名的快速人行横道

Question

今天我第 100 万次拥有一个列出完整州名的数据集。但是，我需要它来列出州邮政编码缩写。这是我编写的代码片段，它使用来自通用网站的数据为我映射了更改。

1）有人知道或想到更好的解决方案吗？

2a）有人知道更好的网络参考吗？使用 USPS 网站（如下所示）似乎无法使用pd.read_html()

2b) 我也很难从pd.read_html()以下 wiki 页面中分离出正确的表格：https ://en.wikipedia.org/wiki/List_of_U.S._state_abbreviations

import pandas as pd


# Make Generic Data For Demonstration Purpose
data = {'StName':['Wisconsin','Minnesota','Minnesota',
                     'Wisconsin','Florida','New York']}
df = pd.DataFrame(data)

# Get State Crosswalk From Generic Website
crosswalk = 'http://app02.clerk.org/menu/ccis/Help/CCIS%20Codes/state_codes.html'
states = pd.read_html(crosswalk)[0]

# Demo Crosswalking State Name to State Abbreviation
df['StAbbr'] = df['StName'].map(dict(zip(states['Description'], 
                                         states['Code'])))

# Demo Reverse Crosswalking Back to State Name
df['StNameAgain'] = df['StName'].map(dict(zip(states['Code'], 
                                              states['Description'])))