0

我有一个 csv,其中一列的值在 dict 列表中,如下所示

[{'10': 'i ve been with what is now comcast since 2001 the company has really grown and improved and delivers a great service along with great customer service ', 'aspects':['service']}, 
{'20': 'good service but lack of options to allow it be more affordable allowing individual channel choices would be great ', 'aspects':['lack', 'service']}, 
{'30': 'it a good service but very expensive', 'aspects':['service']}, {'40': 'good service', 'aspects':['service']}, 
{'50': 'good service but over priced ', 'aspects':['service']}] 

现在因为当我从CSV它的 a中读取它时,string我无法将它转换为原始类型的list of dictthen json

我如何才能真正做到这一点。

解决方案 :

  data = output[output.aspects == aspect]['column1'].tolist()
  listData=ast.literal_eval(data[0])

  return json.dumps(listData)
4

2 回答 2

3

您可以使用该ast模块

前任:

import ast
s = """[{'10': 'i ve been with what is now comcast since 2001 the company has really grown and improved and delivers a great service along with great customer service ', 'aspects':['service']}, 
{'20': 'good service but lack of options to allow it be more affordable allowing individual channel choices would be great ', 'aspects':['lack', 'service']}, 
{'30': 'it a good service but very expensive', 'aspects':['service']}, {'40': 'good service', 'aspects':['service']}, 
{'50': 'good service but over priced ', 'aspects':['service']}]"""

print(ast.literal_eval(s))

输出:

[{'10': 'i ve been with what is now comcast since 2001 the company has really grown and improved and delivers a great service along with great customer service ', 'aspects': ['service']}, {'aspects': ['lack', 'service'], '20': 'good service but lack of options to allow it be more affordable allowing individual channel choices would be great '}, {'30': 'it a good service but very expensive', 'aspects': ['service']}, {'aspects': ['service'], '40': 'good service'}, {'aspects': ['service'], '50': 'good service but over priced '}]
于 2018-03-21T11:59:37.803 回答
-1

要转换为 json 文件:

>>> import json
>>> json.dump(obj,open(path + '/txt.json','w+'))
于 2018-03-21T12:36:37.027 回答