单个CSV文件中有多个定界符 [英] Multiple delimiters in single CSV file
本文介绍了单个CSV文件中有多个定界符的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有一个CSV，它具有三个不同的定界符，即'|'，'，'和';'在不同的列之间.
I have a CSV, which has got three different delimiters namely, '|', ',' and ';' between different columns.
如何使用Python解析此CSV?
How can I using Python parse this CSV ?
我的数据如下:
2017-01-24|05:19:30+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:19:30Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|05:19:30+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1583e83882b8e7Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:19:26Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|05:21:59+0000|TRANSACTIONDelim_secondVIEW_PRIVACY_POLICYDelim_firstCONSUMERIDDelim_secondnullDelim_firstTRANSACTIONDATEDelim_second17-01-24 05:21:59Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|05:59:25+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1586a2aa4bc18fDelim_firstTRANSACTIONDATEDelim_second17-01-24 05:59:21Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|05:59:36+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1583e83882b8e7Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:59:31Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|06:04:25+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:04:24Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second|**
2017-01-24|06:05:07+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:05:07Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|06:05:07+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:05:07Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second|**
推荐答案
使用标准库，re.split()可以在以下任意字符处分割行:
Sticking with the standard library, re.split() can split a line at any of these characters:
import re
with open(file_name) as fobj:
for line in fobj:
line_data = re.split('Delim_first|Delim_second|[|]', line)
print(line_data)
这将在定界符|，Delim_first和Delim_second处分开.
This will split at the delimiters |, Delim_first, and Delim_second.
或与大熊猫一起
import pandas as pd
df = pd.read_csv('multi_delim.csv', sep='Delim_first|Delim_second|[|]',
engine='python', header=None)
结果:
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