读CSV有额外的逗号，没有与潘达商城？

Question

数据：

from io import StringIO
import pandas as pd

s = '''ID,Level,QID,Text,ResponseID,responseText,date_key
375280046,S,D3M,Which is your favorite?,D5M0,option 1,2012-08-08 00:00:00
375280046,S,D3M,How often? (at home, at work, other),D3M0,Work,2010-03-31 00:00:00
375280046,M,A78,Do you prefer a, b, or c?,A78C,a,2010-03-31 00:00:00'''

df = pd.read_csv(StringIO(s))

收到的错误：

pandas.io.common.CParserError: Error tokenizing data. C error: Expected 7 fields in line 3, saw 9

这是非常明显的原因，我收到这个错误。数据包含文本，如How often? (at home, at work, other)和Do you prefer a, b, or c?。

如何将这类数据读入熊猫DataFrame？

Answer 1

当然，当我写这个问题的时候，我想明白了。与其删除它，我将与我未来的自我分享，当我忘记如何做这件事。

显然，熊猫默认的sep=','也可以是一个正则表达式。

解决方案是将sep=r',(?!\s)'添加到read_csv中，如下所示：

df = pd.read_csv(StringIO(s), sep=r',(?!\s)')

(?!\s)部分是一个负前瞻，只匹配后面没有后续空格的逗号。

结果：

          ID Level  QID                                  Text ResponseID  \
0  375280046     S  D3M               Which is your favorite?       D5M0   
1  375280046     S  D3M  How often? (at home, at work, other)       D3M0   
2  375280046     M  A78             Do you prefer a, b, or c?       A78C   

  responseText             date_key  
0     option 1  2012-08-08 00:00:00  
1         Work  2010-03-31 00:00:00  
2            a  2010-03-31 00:00:00