Python-100-Days/Day11/json1.py

88 lines
1.8 KiB
Python

"""
读取JSON数据
Version: 0.1
Author: 骆昊
Date: 2018-03-13
"""
import json
import csv2
json_str = '{"name": "骆昊", "age": 38, "title": "叫兽"}'
result = json.loads(json_str)
print(result)
print(type(result))
print(result['name'])
print(result['age'])
# 把转换得到的字典作为关键字参数传入Teacher的构造器
teacher = csv2.Teacher(**result)
print(teacher)
print(teacher.name)
print(teacher.age)
print(teacher.title)
# 请思考如何将下面JSON格式的天气数据转换成对象并获取我们需要的信息
# 稍后我们会讲解如何通过网络API获取我们需要的JSON格式的数据
"""
{
"wendu": "29",
"ganmao": "各项气象条件适宜,发生感冒机率较低。但请避免长期处于空调房间中,以防感冒。",
"forecast": [
{
"fengxiang": "南风",
"fengli": "3-4级",
"high": "高温 32℃",
"type": "多云",
"low": "低温 17℃",
"date": "16日星期二"
},
{
"fengxiang": "南风",
"fengli": "微风级",
"high": "高温 34℃",
"type": "",
"low": "低温 19℃",
"date": "17日星期三"
},
{
"fengxiang": "南风",
"fengli": "微风级",
"high": "高温 35℃",
"type": "",
"low": "低温 22℃",
"date": "18日星期四"
},
{
"fengxiang": "南风",
"fengli": "微风级",
"high": "高温 35℃",
"type": "多云",
"low": "低温 22℃",
"date": "19日星期五"
},
{
"fengxiang": "南风",
"fengli": "3-4级",
"high": "高温 34℃",
"type": "",
"low": "低温 21℃",
"date": "20日星期六"
}
],
"yesterday": {
"fl": "微风",
"fx": "南风",
"high": "高温 28℃",
"type": "",
"low": "低温 15℃",
"date": "15日星期一"
},
"aqi": "72",
"city": "北京"
}
"""