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[英]How to read csv field with comma and split string in the field to a list?
[英]Split string on comma when field contains a comma
考慮以下字符串:
'538.48,0.29,"533.59 - 540.00","AZO",102482,"+0.05%","N/A",0.00,535.09,"AutoZone, Inc. Co",538.77,"N/A"'
我需要將其拆分為一個列表,如下所示:
[538.48, 0.29, "533.59 - 540.00", "AZO", 102482, "+0.05%" , "N/A", 0.00, 535.09, "AutoZone, Inc. Co", 538.77, "N/A"]
問題是我不能使用list.split(',')
因為第10個字段中包含逗號。 問題是,當任意字段可能帶有逗號時,如何最好地將原始字符串拆分為列表?
使用csv
模塊而不是嘗試自己拆分它,它可以立即處理帶引號的值,包括包含定界符的帶引號的值:
>>> import csv
>>> from pprint import pprint
>>> data = '538.48,0.29,"533.59 - 540.00","AZO",102482,"+0.05%","N/A",0.00,535.09,"AutoZone, Inc. Co",538.77,"N/A"'
>>> reader = csv.reader(data.splitlines())
>>> pprint(next(reader))
['538.48',
'0.29',
'533.59 - 540.00',
'AZO',
'102482',
'+0.05%',
'N/A',
'0.00',
'535.09',
'AutoZone, Inc. Co',
'538.77',
'N/A']
注意'AutoZone, Inc. Co'
列的值。
如果要從文件讀取此數據,請直接將文件對象傳遞給csv.reader()
對象,而不是將其傳遞給字符串序列。
通過設置quoting=csv.QUOTE_NONNUMERIC
,您甚至可以將數字值(任何未引用的值)解釋為浮點值:
>>> reader = csv.reader(data.splitlines(), quoting=csv.QUOTE_NONNUMERIC)
>>> pprint(next(reader))
[538.48,
0.29,
'533.59 - 540.00',
'AZO',
102482.0,
'+0.05%',
'N/A',
0.0,
535.09,
'AutoZone, Inc. Co',
538.77,
'N/A']
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