【441】JSON format

 

Ref: json -- JSON encoder and decoder

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

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

# 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