将 dict 的字符串列表从 csv 转换为 python 中的 JSON 对象

Question

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 阅读此内容时，它是 string 我无法将其转换为 list of dict 的原始类型，然后是 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)

Answer 1

转成json文件：

>>> import json
>>> json.dump(obj,open(path + '/txt.json','w+'))

Answer 2

您可以使用ast 模块

例如：

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 '}]