我有一个CSV,其中一列中的值是像下面字典的名单
[{'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,因为当我从阅读这个CSV
它是一个string
,我不能将它转换成原始类型的list of dict
,然后json
。
如何其实我可以做到这一点。
解决方案:
data = output[output.aspects == aspect]['column1'].tolist()
listData=ast.literal_eval(data[0])
return json.dumps(listData)
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 '}]
要转换成JSON文件:
>>> import json
>>> json.dump(obj,open(path + '/txt.json','w+'))