'utf-8'编解码器无法解码位置18的字节0x92：无效的起始字节

Question

我正在尝试读取名为df1的数据集，但它不起作用

import pandas as pd
df1=pd.read_csv("https://raw.githubusercontent.com/tuyenhavan/Statistics/Dataset/World_Life_Expectancy.csv",sep=";")

df1.head()

这是上述代码中的重大错误，但这是最相关的

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 18: invalid start byte

Answer 1

事实证明，在 mac os 中创建的 csv 正在 Windows 机器上解析，我得到了 UnicodeDecodeError。要消除此错误，请尝试将参数encoding ='mac-roman'传递给pandas库的read_csv方法。

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

输出：

    2000    2001    2002    2003    2004    2005    2006    2007    2008    2009    2010    2011    2012    2013    Unnamed: 15 2014    2015
0   Afghanistan 55.1    55.5    55.9    56.2    56.6    57.0    57.4    57.8    58.2    58.6    59.0    59.3    59.7    60.0    NaN 60.4    60.7
1   Albania 74.3    74.7    75.2    75.5    75.8    76.1    76.3    76.5    76.7    76.8    77.0    77.2    77.4    77.6    NaN 77.8    78.0
2   Algeria 70.2    70.6    71.0    71.4    71.8    72.2    72.6    72.9    73.2    73.5    73.8    74.1    74.3    74.6    NaN 74.8    75.0
3   American Samoa  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  NaN ..  ..
4   Andorra ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  NaN ..  ..

Answer 2

数据确实未编码为UTF-8。一切都是ASCII，除了那个0x92字节：

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

改为将其解码为Windows代码页1252，其中0x92是引号’：

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    ..    ..

但我注意到，大熊猫似乎采取按面值的HTTP头太大，当你从一个URL加载数据产生变为乱码。当我将数据直接保存到磁盘时，然后使用pd.read_csv()正确解码的数据加载它，但是从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.'

这是熊猫中的一个已知错误。您可以通过使用urllib.request加载URL并将其传递给它来解决此问题pd.read_csv()：

>>> 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.'