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天气预报在MongoDB中的天气预报的存储方式是：
/* 1 */
{
"_id" : ObjectId("5a72ae6e6bd36a9f61e8ce3d"),
"city" : "北京",
"info" : [
{
"index_of_living" : [
{
"assess" : "最弱",
"content" : "辐射弱，涂擦SPF8-12防晒护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "较易波动",
"content" : "血糖较易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "温差较大，较易感冒，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "5℃",
"weather" : "晴转多云转晴",
"time" : "1日（今天）",
"wind" : "<3级转3-4级",
"V" : "-7℃"
},
{
"index_of_living" : [
{
"assess" : "弱",
"content" : "辐射较弱，涂擦SPF12-15、PA+护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "易波动",
"content" : "气温多变，血糖易波动，请注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "极易发",
"content" : "强降温，天气寒冷，极易发生感冒。",
"name" : "感冒指数"
},
{
"assess" : "寒冷",
"content" : "建议着厚羽绒服等隆冬服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "良",
"content" : "气象条件有利于空气污染物扩散。",
"name" : "空气污染扩散指数"
}
],
"K" : "-1℃",
"weather" : "晴",
"time" : "2日（明天）",
"wind" : "3-4级转<3级",
"V" : "-9℃"
},
{
"index_of_living" : [
{
"assess" : "最弱",
"content" : "辐射弱，涂擦SPF8-12防晒护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "易波动",
"content" : "血糖易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "天较凉，增加衣服，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "0℃",
"weather" : "多云",
"time" : "3日（后天）",
"wind" : "<3级",
"V" : "-9℃"
},
{
"index_of_living" : [
{
"assess" : "弱",
"content" : "辐射较弱，涂擦SPF12-15、PA+护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "易波动",
"content" : "血糖易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "天较凉，增加衣服，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "1℃",
"weather" : "晴",
"time" : "4日（周日）",
"wind" : "<3级",
"V" : "-8℃"
},
{
"index_of_living" : [
{
"assess" : "弱",
"content" : "辐射较弱，涂擦SPF12-15、PA+护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "易波动",
"content" : "血糖易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "天较凉，增加衣服，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "0℃",
"weather" : "晴",
"time" : "5日（周一）",
"wind" : "<3级",
"V" : "-10℃"
},
{
"index_of_living" : [
{
"assess" : "弱",
"content" : "辐射较弱，涂擦SPF12-15、PA+护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "较易波动",
"content" : "血糖较易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "天较凉，增加衣服，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "2℃",
"weather" : "晴",
"time" : "6日（周二）",
"wind" : "<3级",
"V" : "-8℃"
},
{
"index_of_living" : [
{
"assess" : "弱",
"content" : "辐射较弱，涂擦SPF12-15、PA+护肤品。",
"name" : "紫外线指数"
},
{
"assess" : "较易波动",
"content" : "血糖较易波动，注意监测。",
"name" : "健臻·血糖指数"
},
{
"assess" : "较易发",
"content" : "天较凉，增加衣服，注意防护。",
"name" : "感冒指数"
},
{
"assess" : "冷",
"content" : "建议着棉衣加羊毛衫等冬季服装。",
"name" : "穿衣指数"
},
{
"assess" : "较适宜",
"content" : "无雨且风力较小，易保持清洁度。",
"name" : "洗车指数"
},
{
"assess" : "中",
"content" : "易感人群应适当减少室外活动。",
"name" : "空气污染扩散指数"
}
],
"K" : "3℃",
"weather" : "晴转多云",
"time" : "7日（周三）",
"wind" : "<3级",
"V" : "-8℃"
}
]
}
就是每个地方的未来的七天的天气
import json
import pymongo
#建立连接
client = pymongo.MongoClient("mongodb://root:root@IP:端口")
#指定数据库
db = client['weather']
#指定集合
collection= db['weather_tian']
#指定要查询的内容
result= collection.find()
print('type result===',type(result)) fp = open('./output_weather.json','a+')
cal_index =0
for i in result:
cal_index = cal_index +1
if cal_index == 4: #先打个三个地区出来看看情况
break
#print('type i =',type(i))
i.pop('_id') #不如这个key和value不去掉的话，会报ObjectId错误的问题，因为这个是MongoDB里面的类，json不认识，你的自定定义这个类来处理
j = json.dumps(i,ensure_ascii=False)
fp.write(j)
fp.write('\n') #这样每个地区的未来七天的天气情况就写为一行了 fp.close()
这样就在本地存了个json文件了。有三个地区的天气。
接下来我们是从这个json文件读入，变成dict，代码如下
import json
import time def json_file_to_dict():
ofile = open('./output_weather.json')
for line in ofile.readlines():
#print(line)
print(type(line))
afterjson = json.loads(line)
print(afterjson['city']) #其中city是dict中的某个key if __name__ == '__main__':
json_file_to_dict()