【441】JSON format

 

Ref: json -- JSON encoder and decoder

JSON(JavaScript Object Notation) can help us to see data more intuitive. Example:

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import json >>> a = {"hobbies":{"balls":"basketball, volleyball", "others":"watching movies"},"name":{"first_name":"Alex", "last_name":"Lee"}, "age":20, "height":183}               >>> print(json.dumps(a, indent = 4))               {     "hobbies": {         "balls": "basketball, volleyball",         "others": "watching movies"     },     "name": {         "first_name": "Alex",         "last_name": "Lee"     },     "age": 20,     "height": 183 }

　　快速读取相应的 str，转为 json 格式，类似字典，不过可以存储在字符串里面

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# 从 pandas.dataframe 里面读取对应的字符串 str2 = df_road.loc[0]['tag'] str2   # 将字符串解析，类似字典的形式 import json str_json = json.loads(str2) str_json