我正在获取这种CSV数据,同时向CSV文件发出Http请求.格式错误的字符串

response = '"Subject";"Start Date";"Start Time";"End Date";"End Time";"All day event";"Description""Play football";"16/11/2009";"10:00 PM";"16/11/2009";"11:00 PM";"false";"""Watch 2012";"20/11/2009";"07:00 PM";"20/11/2009";"08:00 PM";"false";""'

我想将其转换为字典列表

[{"Subject": "Play football", "Start Date": "16/11/2009", "Start Time": "10:00 PM", "End Date": "16/11/2009", "End Time": "11:00 PM", "All day event", false, "Description": ""},
 {"Subject": "Watch 2012", "Start Date": "20/11/2009", "Start Time": "07:00 PM", "End Date": "20/11/2009", "End Time": "08:00 PM", "All day event", false, "Description": ""}]

我尝试使用python csv模块解决这个问题但是没有用.

import csv
from cStringIO import StringIO

>>> str_obj = StringIO(response)
>>> reader = csv.reader(str_obj, delimiter=';')
>>> [x for x in reader] 
    [['Subject',
      'Start Date',
      'Start Time',
      'End Date',
      'End Time',
      'All day event',
      'Description"Play football',
      '16/11/2009',
      '10:00 PM',
      '16/11/2009',
      '11:00 PM',
      'false',
      '"Watch 2012',
      '20/11/2009',
      '07:00 PM',
      '20/11/2009',
      '08:00 PM',
      'false',
      '']]

我得到了上面的结果.

任何形式的帮助将不胜感激.提前致谢.

from pyparsing import QuotedString, Group, delimitedList, OneOrMore

# a row of headings or data is a list of quoted strings, delimited by ';'s
qs = QuotedString('"')
datarow = Group(delimitedList(qs, ';'))

# an entire data set is a single data row containing the headings, followed by
# one or more data rows containing the data
dataset_parser = datarow("headings") + OneOrMore(datarow)("rows")

# parse the returned response
data = dataset_parser.parseString(response)

# create dict by zipping headings with each row's data values
datadict = [dict(zip(data.headings, row)) for row in data.rows]

print datadict

打印：

[{'End Date': '16/11/2009', 'Description': '', 'All day event': 'false', 
  'Start Time': '10:00 PM', 'End Time': '11:00 PM', 'Start Date': '16/11/2009', 
  'Subject': 'Play football'}, 
 {'End Date': '20/11/2009', 'Description': '', 'All day event': 'false', 
  'Start Time': '07:00 PM', 'End Time': '08:00 PM', 'Start Date': '20/11/2009', 
  'Subject': 'Watch 2012'}]

如果引用的字符串包含嵌入的分号,这也将处理这种情况.