Python3.x utf8编解码器无法解码位置 18 中的字节 0x92：无效的起始字节

数据确实没有编码为UTF-8；除了一个0x92字节外，所有内容都是ASCII:

b'Korea, Dem. People\x92s Rep.'

将其解码为Windows codepage 1252，其中0x92是一个花哨的引号，’:

df1 = pd.read_csv("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv",
                  sep=";", encoding='cp1252')

演示:

>>> import pandas as pd
>>> df1 = pd.read_csv("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv",
...                   sep=";", encoding='cp1252')
>>> df1.head()
                   2000  2001  2002  2003  2004  2005  2006  2007  2008  2009  \
0     Afghanistan  55.1  55.5  55.9  56.2  56.6  57.0  57.4  57.8  58.2  58.6
1         Albania  74.3  74.7  75.2  75.5  75.8  76.1  76.3  76.5  76.7  76.8
2         Algeria  70.2  70.6  71.0  71.4  71.8  72.2  72.6  72.9  73.2  73.5
3  American Samoa    ..    ..    ..    ..    ..    ..    ..    ..    ..    ..
4         Andorra    ..    ..    ..    ..    ..    ..    ..    ..    ..    ..

   2010  2011  2012  2013  Unnamed: 15  2014  2015
0  59.0  59.3  59.7  60.0          NaN  60.4  60.7
1  77.0  77.2  77.4  77.6          NaN  77.8  78.0
2  73.8  74.1  74.3  74.6          NaN  74.8  75.0
3    ..    ..    ..    ..          NaN    ..    ..
4    ..    ..    ..    ..          NaN    ..    ..

然而，我注意到，Pandas似乎以面值too接受HTTP头，并在从URL加载数据时生成Mojibake.当我将数据直接保存到磁盘时，then用pd.read_csv()加载数据.数据被正确解码，但从URL加载会产生重新编码的数据:

>>> df1[' '][102]
'Korea, Dem. People’s Rep.'
>>> df1[' '][102].encode('cp1252').decode('utf8')
'Korea, Dem. People’s Rep.'

这是known bug in Pandas美元.您可以通过使用urllib.request加载URL并将其传递给pd.read_csv()来解决这个问题:

>>> import urllib.request
>>> with urllib.request.urlopen("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv") as resp:
...     df1 = pd.read_csv(resp, sep=";", encoding='cp1252')
...
>>> df1[' '][102]
'Korea, Dem. People’s Rep.'