Python爬取2019Cov及基于Flask框架的数据可视化-优快云博客

Python爬取2019Cov及基于Flask框架的数据可视化

项目概述
项目效果
- - 运行项目
  - 项目效果

项目概述

本博客是学习分享
1、基于腾讯提供的API爬取数据，部分涉及百度热搜爬取
2、项目基于Flask框架开发
3、运用百度的Echarts，进行可视化
4、数据存储到MySQL

获取腾讯疫情数据

初步认识腾讯数据的结构

首先了解一下腾讯疫情网站的相关数据结构：
腾讯疫情网站：https://news.qq.com/zt2020/page/feiyan.htm
API数据接口：

在这里插入图片描述
1、当前数据接口：https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5
2、历史数据接口：https://view.inews.qq.com/g2/getOnsInfo?name=disease_other
3、外国数据接口：https://view.inews.qq.com/g2/getOnsInfo?name=disease_foreign
本项目只做国内数据，国外数据可视化同样道理

API数据结构化

先看历史数据结构
	data_history->
				data_history["chinaDayList"] #中国每日数据
								->confirm  确诊人数
								->suspect  疑似人数
								->dead    死亡人数
								->nowConfirm   现有确诊
								->nowSevere    现有重症
								->importedCase  境外输入
								->deadRate    死亡率  
								->healRate    治愈率
								->date       日期
				get_historyAdd["chinaDayAddList"]#每日新增数据
								->confirm  新增确诊人数
								->suspect新增疑似人数
								->dead新增死亡人数
								->heal新增治愈人数
								->importedCase新增境外输入人数
								->deadRate    新增死亡率  
								->healRate    新增治愈率
								->date       日期
当前数据结构
		data_all["lastUpdateTime"] #数据时间
    	data_all["chinaTotal"]  #中国总数据  ，字典
    	data_all["chinaAdd"]  #对比上日， , 字典
    	data_all["areaTree"][0]["total"] #全国现有的数据  ，字典
    	data_all["areaTree"][0]["children"]  #省级

由于太多，不一一二叉展开了

获取数据

基于工具库

import requests
import json

代码

初始化类

class tencent_data():
    def __init__(self):
        url ='https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'#国内数据
        url2 = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other'#国内历史数据
        headers={
   
   
            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36"
        }
        r =requests.get(url,headers)
        res = json.loads(r.text) #json字符串转换字典
        data_all = json.loads(res['data'])
        
        his = requests.get(url2,headers)
        res_history = json.loads(his.text) 
        data_history = json.loads(res_history['data']) #历史数据
                
        self.update_time =data_all["lastUpdateTime"]
        self.data_Total = data_all["chinaTotal"]  #中国总数据  ，字典
        self.data_Add = data_all["chinaAdd"]  #对比上日， , 字典
        self.data_Now = data_all["areaTree"][0]["total"] #全国现有的数据  ，字典
        self.data_province = data_all["areaTree"][0]["children"]  #省级
        
        #历史数据
        self.chinaDayList=data_history["chinaDayList"] #中国每日数据
        self.chinaDayAddList=data_history["chinaDayAddList"]#中国每日新增数据

历史数据：返回字典

    def get_history(self):
        history={
   
   }
        for daylist in self.chinaDayList:
            ds="2020."+daylist["date"]
            tup=time.strptime(ds,"%Y.%m.%d")
            ds=time.strftime("%Y-%m-%d",tup)#改变时间格式
            
            confirm=daylist["confirm"]
            suspect=daylist["suspect"]
            dead=daylist["dead"]
            heal=daylist["heal"]
            nowConfirm=daylist["nowConfirm"]
            nowSevere=daylist["nowSevere"]
            importedCase=daylist["importedCase"]
            deadRate=daylist["deadRate"]
            healRate=daylist["healRate"]
            
            history[ds]={
   
   "confirm":confirm,"suspect":suspect,"dead":dead,"heal":heal,"nowConfirm":nowConfirm,
                         "nowSevere":nowSevere,"importedCase":importedCase,"deadRate":deadRate,"healRate":healRate}
        return history

每日新增历史数据：返回字典

    def get_historyAdd(self):
        historyAdd={
   
   }
        for daylist in self.chinaDayAddList:
            ds="2020."+daylist["date"]
            tup=time.strptime(ds,"%Y.%m.%d")
            ds=time.strftime("%Y-%m-%d",tup)#改变时间格式
            
            confirm=daylist["confirm"]
            suspect=daylist["suspect"]
            dead=daylist["dead"]
            heal=daylist["heal"]
            importedCase=daylist["importedCase"]
            deadRate=daylist["deadRate"]
            healRate=daylist["healRate"]
            
            historyAdd[ds]={
   
   "confirm":confirm,"suspect":suspect,"dead":dead,"heal":heal,
                         "importedCase":importedCase,"deadRate":deadRate,"healRate":healRate}
        return historyAdd

各省及市数据整合（整合没啥用-下面有分开）

    def get_details(self):
        details = []
        for pro_infos in self.data_province:
            province = pro_infos["name"] #省名
            pro_total = pro_infos["total"] #省级累计总数数据
            pro_nowConfirm = pro_total["nowConfirm"]#现有确诊数
            pro_confirm = pro_total["confirm"]  #累计确诊数
            pro_dead = pro_total["dead"] #累计死亡数
            pro_deadRate = pro_total["deadRate"] #死亡率
            pro_heal = pro_total["heal"] #累计治愈
            pro_healRate = pro_total["healRate"] #治愈率

            for city_infos in pro_infos["children"]:  #市级
                city = city_infos["name"] #市名
                city_total = city_infos["total"] #市级累计总数数据
                city_nowConfirm = city_total["nowConfirm"]#现有确诊数
                city_confirm = city_total["confirm"]  #累计确诊数
                city_dead = city_total["dead"] #累计死亡数
                city_deadRate = city_total["deadRate"] #死亡率
                city_healRate = city_total["healRate"] #治愈率

                details.append([self.update_time,province,pro_nowConfirm,pro_confirm,pro_dead,
                               pro_deadRate,pro_heal,pro_healRate,city,city_nowConfirm,
                               city_confirm,city_dead,city_deadRate,city_healRate])
        return detail

省和市分开：

    def get_cityList(self):
        #各市数据
        details = []
        for pro_infos in self.data_province:
            province = pro_infos["name"] #省名
            for city_infos in pro_infos["children"]:  #市级
                city = city_infos["name"] #市名
                city_total = city_infos["total"] #市级累计总数数据
                city_nowConfirm = city_total["nowConfirm"]#现有确诊数
                city_confirm = city_total["confirm"]  #累计确诊数
                city_dead = city_total["dead"] #累计死亡数
                city_deadRate = city_total["deadRate"] #死亡率
                city_heal = city_total["heal"] #累计治愈
                city_healRate = city_total["healRate"] #治愈率

                details.append([self.update_time,province,city,city_nowConfirm,
                               city_confirm,city_dead,city_deadRate,city_heal,city_healRate])
        return details
    
    def get_provinceList(self):
        #各省数据
        details = []
        for pro_infos in self.data_province:
            province = pro_infos["name"] #省名
            pro_total = pro_infos["total"] #省级累计总数数据
            pro_nowConfirm = pro_total["nowConfirm"]#现有确诊数
            pro_confirm = pro_total["confirm"]  #累计确诊数
            pro_dead = pro_total["dead"] #累计死亡数
            pro_deadRate = pro_total["deadRate"] #死亡率
            pro_heal = pro_total["heal"] #累计治愈
            pro_healRate =