pandas读文件时中UnicodeDecodeError常用解决方案

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如果我们遇到UnicodeDecodeError，一般而言是因为编码错误。所以尝试其他编码是个不错的选择。

但一一尝试速度较慢，我们不妨使用chardet库和pandas读文件时encoding_errors='ignore'共同解决问题。

chardet库可以帮我们检测可能的编码。

import pandas as pd
import numpy as np
import chardet# look at the first ten thousand bytes to guess the character encoding
with open("ks-projects-201801.csv", 'rb') as rawdata:result = chardet.detect(rawdata.read(10000))# check what the character encoding might be
print(result)

结果为

{'encoding': 'Windows-1252', 'confidence': 0.73, 'language': ''}

可以看出，编码为Windows-1252。

但当我们非常高兴地读文件时：

kickstarter_2016 = pd.read_csv("ks-projects-201801.csv", encoding='Windows-1252')
# look at the first few lines
kickstarter_2016.head()

高置信度的Windows-1252编码好像出了问题：

---------------------------------------------------------------------------
UnicodeDecodeError                        Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_12864/300630660.py in <module>1 # read in the file with the encoding detected by chardet2 # kickstarter_2016 = pd.read_csv("ks-projects-201801.csv", encoding='Windows-1252',encoding_errors='ignore')
----> 3 kickstarter_2016 = pd.read_csv("ks-projects-201801.csv", encoding='Windows-1252')4 # look at the first few lines5 kickstarter_2016.head()

所以，我们继续改代码，把为数较少的错误ignore掉：

kickstarter_2016 = pd.read_csv("ks-projects-201801.csv", encoding='Windows-1252',encoding_errors='ignore')
# look at the first few lines
kickstarter_2016.head()

结果为