使用 Pandas 读取带有额外逗号且没有 quotechar 的 CSV？

Data:

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))

收到错误：

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

我收到此错误的原因非常明显。数据包含文本，例如How often? (at home, at work, other) and Do you prefer a, b, or c?.

如何将这种类型的数据读入 pandas DataFrame 中？

当然，当我写下这个问题时，我就明白了。当我忘记如何执行此操作时，我不会将其删除，而是与未来的自己分享。

显然，pandas默认sep=','也可以是正则表达式。

解决方案是添加sep=r',(?!\s)' to read_csv像这样：

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

The (?!\s)部分是一个负前瞻仅匹配后面没有空格的逗号。

Result:

          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