2019-nCoV新型肺炎数据一键获取并布置在云服务器上每隔12小时获取一次

windows端

流程：

获得网上免费接口并进行调用
数据清洗
数据导出为表格
使用tkinter进行界面使用

代码：

import requests
import json
import time, datetime
import xlwt
from tkinter import *
from tkinter.messagebox import *
import threading
import os

def cxk():
    url = "https://lab.isaaclin.cn/nCoV/api/area?latest=1"
    response = requests.get(url)
    json_reads = json.loads(response.text)
    ALL=json_reads["results"]
    print(ALL)
    newTime = datetime.datetime.fromtimestamp(ALL[0]["updateTime"]/1000.0).strftime("%Y-%m-%d-%H")

#     print(newTime+"统计完成")
    #创建工作博
    wb  =xlwt.Workbook(encoding='utf-8')


    #括号内参数为表名 ws 为各省份表
    ws = wb.add_sheet('%s时新型肺炎统计表'%newTime)

    #括号内参数为表名 wk 为各市区表
    wk = wb.add_sheet('%s时新型肺炎各省份统计表'%newTime)

#     provinceName=[]#省份
#     cityName=[]#下属城市
#     confirmedCount=[]#确诊人数
#     suspectedCount=[]#疑似病例
#     curedCount=[]#治愈人数
#     deadCount=[]#死亡人数

    ws.write(0,0,label = '国家')
    ws.write(0,1,label = '省份')
    ws.write(0,2,label = '死亡人数')
    ws.write(0,3,label = '治愈人数')
    ws.write(0,4,label = '确诊人数')
    ws.write(0,5,label = '疑似人数')

    wk.write(0,0,label = '省份')
    wk.write(0,1,label = '下属城市')
    wk.write(0,2,label = '死亡人数')
    wk.write(0,3,label = '治愈人数')
    wk.write(0,4,label = '确诊人数')
    wk.write(0,5,label = '疑似人数')
    k=1
    l=1

    for i in ALL:
    #     print(i["provinceName"]+": "+"死亡人数："+str(i["deadCount"])+" 治愈人数："+str(i["curedCount"])+" 确诊人数："+str(i["confirmedCount"])+" 疑似人数："+str(i["suspectedCount"]))
        ws.write(k,0,label = i["country"])
        ws.write(k,1,label = i["provinceName"])
        ws.write(k,2,label = i["deadCount"])
        ws.write(k,3,label = i["curedCount"])
        ws.write(k,4,label = i["confirmedCount"])
        ws.write(k,5,label = i["suspectedCount"])
        if i["country"]=="中国":
            for j in i["cities"]:
                wk.write(l,0,label = i["provinceName"])
                wk.write(l,1,label = j["cityName"])
                wk.write(l,2,label = j["deadCount"])
                wk.write(l,3,label = j["curedCount"])
                wk.write(l,4,label = j["confirmedCount"])
                wk.write(l,5,label = j["suspectedCount"])
                l+=1
    #             print(j["cityName"]+":\n 死亡人数："+str(j["deadCount"])+" 治愈人数："+str(j["curedCount"])+" 确诊人数："+str(j["confirmedCount"])+" 疑似人数："+str(j["suspectedCount"]))
        k+=1
    #     print('\n')
    wb.save('新型肺炎%s时统计表.xls'%newTime)
    showinfo(title='成功', message='今日数据统计完成！') 
    
def fun():
    th=threading.Thread(target=cxk)
    th.setDaemon(True)#守护线程
    th.start()
    showinfo(title='提示', message='后台数据统计已开始\n请稍等，完成后将会有提示！')
    
root = Tk() 
root.title('加油！武汉！') 
winWidth = 250
winHeight = 100
screenWidth = root.winfo_screenwidth()
screenHeight = root.winfo_screenheight()
x = int((screenWidth - winWidth) / 2)
y = int((screenHeight - winHeight) / 2)
# 设置窗口初始位置在屏幕居中
root.geometry("%sx%s+%s+%s" % (winWidth, winHeight, x, y))
Label(root,text="新型肺炎数据一键统计小程序").pack()
Button(text='统计', command=fun).pack()
Label(root,text="文件存储位置").pack()
Label(root,text=os.getcwd()).pack()
root.mainloop()

截图：

服务器端：

流程：

上传源码
crontab进行定时控制
编写配置文件
编写脚本

代码：

py源码：

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2020/2/5 8:40
# @Author  : Cxk
# @File    : cxk.py

import requests
import json
import time, datetime
import xlwt

def cxk():
    url = "https://lab.isaaclin.cn/nCoV/api/area?latest=1"
    response = requests.get(url)
    json_reads = json.loads(response.text)
    ALL=json_reads["results"]
    # print(ALL)
    newTime = datetime.datetime.fromtimestamp(ALL[0]["updateTime"]/1000.0).strftime("%Y-%m-%d-%H-%M")

#     print(newTime+"统计完成")
    #创建工作博
    wb  =xlwt.Workbook(encoding='utf-8')


    #括号内参数为表名 ws 为各省份表
    ws = wb.add_sheet('%s分新型肺炎统计表'%newTime)

    #括号内参数为表名 wk 为各市区表
    wk = wb.add_sheet('%s分新型肺炎各省份统计表'%newTime)

#     provinceName=[]#省份
#     cityName=[]#下属城市
#     confirmedCount=[]#确诊人数
#     suspectedCount=[]#疑似病例
#     curedCount=[]#治愈人数
#     deadCount=[]#死亡人数

    ws.write(0,0,label = '国家')
    ws.write(0,1,label = '省份')
    ws.write(0,2,label = '死亡人数')
    ws.write(0,3,label = '治愈人数')
    ws.write(0,4,label = '确诊人数')
    ws.write(0,5,label = '疑似人数')

    wk.write(0,0,label = '省份')
    wk.write(0,1,label = '下属城市')
    wk.write(0,2,label = '死亡人数')
    wk.write(0,3,label = '治愈人数')
    wk.write(0,4,label = '确诊人数')
    wk.write(0,5,label = '疑似人数')
    k=1
    l=1

    for i in ALL:
    #     print(i["provinceName"]+": "+"死亡人数："+str(i["deadCount"])+" 治愈人数："+str(i["curedCount"])+" 确诊人数："+str(i["confirmedCount"])+" 疑似人数："+str(i["suspectedCount"]))
        ws.write(k,0,label = i["country"])
        ws.write(k,1,label = i["provinceName"])
        ws.write(k,2,label = i["deadCount"])
        ws.write(k,3,label = i["curedCount"])
        ws.write(k,4,label = i["confirmedCount"])
        ws.write(k,5,label = i["suspectedCount"])
        if i["country"]=="中国":
            for j in i["cities"]:
                wk.write(l,0,label = i["provinceName"])
                wk.write(l,1,label = j["cityName"])
                wk.write(l,2,label = j["deadCount"])
                wk.write(l,3,label = j["curedCount"])
                wk.write(l,4,label = j["confirmedCount"])
                wk.write(l,5,label = j["suspectedCount"])
                l+=1
    #             print(j["cityName"]+":\n 死亡人数："+str(j["deadCount"])+" 治愈人数："+str(j["curedCount"])+" 确诊人数："+str(j["confirmedCount"])+" 疑似人数："+str(j["suspectedCount"]))
        k+=1
    #     print('\n')
    wb.save('%s分新型肺炎统计表.xls'%newTime)

cxk()

脚本cron.sh

cd cxk_python
/root/cxk_python/flaskenv/bin/python3 /root/cxk_python/cxk.py > /root/cxk_python/make.out 2>&1 &

crontab -e配置文件

0 */12 * * * /bin/sh /root/cxk_python/cron.sh  ###每隔12小时运行一次脚本

来源：CSDN

作者：半盏清茶℡

链接：https://blog.csdn.net/Cxk___/article/details/104186543

标签

肺炎

大数据