将dict的字符串列表从csv转换为python中的JSON对象 [英] Convert string list of dict from csv into JSON object in python
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问题描述
我有一个csv,其中一列值位于下面的字典列表中
I have a csv where for one column values are in list of dict like below
[{'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,因为当我阅读时来自 CSV
的它的 string
我无法将其转换为 list的原始类型的字典
然后是 json
。
Now because when I am reading this from CSV
its a string
I am not able to convert it to original type of list of dict
and then json
.
我实际上是如何实现的。
How I can actually achieve this .
解决方案:
data = output[output.aspects == aspect]['column1'].tolist()
listData=ast.literal_eval(data[0])
return json.dumps(listData)
推荐答案
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 '}]
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