熊猫read_csv不服从正则表达式sep

Jar*_*rad 3 python csv pandas

资料

from io import StringIO
import pandas as pd

s = '''ID,Level,QID,Text,ResponseID,responseText,date_key,last
375280046,S,D3M,Which is your favorite?,D5M0,option 1,2012-08-08 00:00:00,ynot
375280046,S,D3M,How often? (at home, at work, other),D3M0,Work,2010-03-31 00:00:00,okkk
375280046,M,A78,Do you prefer a, b, or c?,A78C,a,2010-03-31 00:00:00,abc
376918925,M,A78,Which ONE (select only one),A78E,Milk,2004-02-02 00:00:00,launch Wed., '''

df = pd.read_csv(StringIO(s), sep=r',(?!\s)')
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问题:我在这里问了一个问题。我遇到了一个新问题。请注意,在最后一行的末尾,这是一个逗号和一个空格。正则表达式sep=r',(?!\s)'应该忽略逗号后跟一个空格。

问题:是否有一种方法可以按字面意义读取最后一列,launch Wed.,其中逗号不是分隔符/定界符,而实际上是last列文本中的逗号- pd.read_csv仅使用?

错误

ValueError: Expected 8 fields in line 5, saw 9. Error could possibly be due to quotes being ignored when a multi-char delimiter is used.
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预期/期望输出

          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   
3  376918925     M  A78           Which ONE (select only one)       A78E   

  responseText             date_key           last  
0     option 1  2012-08-08 00:00:00           ynot  
1         Work  2010-03-31 00:00:00           okkk  
2            a  2010-03-31 00:00:00            abc  
3         Milk  2004-02-02 00:00:00  launch Wed.,   
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Sco*_*ton 5

让我们看看这个SO Post

使用上述正则表达式r',(?=\S)'

from io import StringIO
import pandas as pd

s = '''ID,Level,QID,Text,ResponseID,responseText,date_key,last
375280046,S,D3M,Which is your favorite?,D5M0,option 1,2012-08-08 00:00:00,ynot
375280046,S,D3M,How often? (at home, at work, other),D3M0,Work,2010-03-31 00:00:00,okkk
375280046,M,A78,Do you prefer a, b, or c?,A78C,a,2010-03-31 00:00:00,abc
376918925,M,A78,Which ONE (select only one),A78E,Milk,2004-02-02 00:00:00,launch Wed., '''

df = pd.read_csv(StringIO(s), sep=r',(?=\S)')
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输出:

              ID                                 Level   QID      Text  \
375280046 S  D3M               Which is your favorite?  D5M0  option 1   
          S  D3M  How often? (at home, at work, other)  D3M0      Work   
          M  A78             Do you prefer a, b, or c?  A78C         a   
376918925 M  A78           Which ONE (select only one)  A78E      Milk   

                ResponseID  responseText  date_key          last  
375280046 S  2012-08-08 00             0         0          ynot  
          S  2010-03-31 00             0         0          okkk  
          M  2010-03-31 00             0         0           abc  
376918925 M  2004-02-02 00             0         0  launch Wed.,  
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