Python实现实时数据采集新型冠状病毒数据实例

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Python实时数据采集-新型冠状病毒

源代码来源：https://github.com/Programming-With-Love/2019-nCoV

疫情数据时间为：2020.2.1

项目相关截图：

全国数据展示

国内数据展示

国外数据展示

查看指定区域详细数据

源代码，注意安装所需模块（例如 pip install 模块名）

import requests

import re

from bs4 import BeautifulSoup

from time import sleep

import json

from prettytable import ALL

from prettytable import PrettyTable

 

hubei = {}

guangdong = {}

zhejiang = {}

beijing = {}

shanghai = {}

hunan = {}

anhui = {}

chongqing = {}

sichuan = {}

shandong = {}

guangxi = {}

fujian = {}

jiangsu = {}

henan = {}

hainan = {}

tianjin = {}

jiangxi = {}

shanxi1 = {} # 陕西

guizhou = {}

liaoning = {}

xianggang = {}

heilongjiang = {}

aomen = {}

xinjiang = {}

gansu = {}

yunnan = {}

taiwan = {}

shanxi2 = {} # 山西

jilin = {}

hebei = {}

ningxia = {}

neimenggu = {}

qinghai = {} # none

xizang = {} # none

provinces_idx = [hubei, guangdong, zhejiang, chongqing, hunan, anhui, beijing,

         shanghai, henan, guangxi, shandong, jiangxi, jiangsu, sichuan,

         liaoning, fujian, heilongjiang, hainan, tianjin, hebei, shanxi2,

         yunnan, xianggang, shanxi1, guizhou, jilin, gansu, taiwan,

         xinjiang, ningxia, aomen, neimenggu, qinghai, xizang]

map = {

  '湖北':0, '广东':1, '浙江':2, '北京':3, '上海':4, '湖南':5, '安徽':6, '重庆':7,

  '四川':8, '山东':9, '广西':10, '福建':11, '江苏':12, '河南':13, '海南':14,

  '天津':15, '江西':16, '陕西':17, '贵州':18, '辽宁':19, '香港':20, '黑龙江':21,

  '澳门':22, '新疆':23, '甘肃':24, '云南':25, '台湾':26, '山西':27, '吉林':28,

  '河北':29, '宁夏':30, '内蒙古':31, '青海':32, '西藏':33

}

 

 

def getTime(text):

  TitleTime = str(text)

  TitleTime = re.findall('<span>(.*"[<p class=\"confirmedNumber___3WrF5\"><span class=\"content___2hIPS\">", "")

  AllCountry = AllCountry.replace("<span style=\"color: #4169e2\">", "")

  AllCountry = re.sub("</span>", "", AllCountry)

  AllCountry = AllCountry.replace("</p>]", "")

   

  AllCountry = AllCountry.replace("<span style=\"color: rgb(65, 105, 226);\">", "")

  AllCountry = re.sub("<span>", "", AllCountry)

  AllCountry = re.sub("<p>", "", AllCountry)

  AllCountry = re.sub("</p>", "", AllCountry)

  return AllCountry 

 

def query(province):

  table = PrettyTable(['地区', '确诊', '死亡', '治愈'])

 

  for (k, v) in province.items():

    name = k

    table.add_row([name, v[0] if v[0] != 0 else '-', v[1] if v[1] != 0 else '-', v[2] if v[2] != 0 else '-'])

  if len(province.keys()) != 0:

    print(table)

  else:

    print("暂无")

 

def getInfo(text):

  text = str(text)

  text = re.sub("<p class=\"descText___Ui3tV\">", "", text)

  text = re.sub("</p>", "", text)

  return text

 

def is_json(json_str):

  try:

    json.loads(json_str)

  except ValueError:

    return False

  return True

 

def ff(str, num):

  return str[:num] + str[num+1:]

     

 

def main():

  url = "https://3g.dxy.cn/newh5/view/pneumonia"

 

  try:

    headers = {}

    headers['user-agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36' #http头大小写不敏感

    headers['accept'] = 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8'

    headers['Connection'] = 'keep-alive'

    headers['Upgrade-Insecure-Requests'] = '1'

 

    r = requests.get(url, headers=headers)

    r.raise_for_status()

    r.encoding = r.apparent_encoding

    soup = BeautifulSoup(r.text,'lxml')

    table = PrettyTable(['地区', '确诊', '死亡', '治愈'])

    table.hrules = ALL

 

    #### 截至时间

    # TitleTime = getTime(soup.select('.title___2d1_B'))

     

    print()

    # print("       ",TitleTime + "\n")

 

    while True:

      r = requests.get("https://service-f9fjwngp-1252021671.bj.apigw.tencentcs.com/release/pneumonia")

      json_str = json.loads(r.text)

      if json_str['error'] == 0:

        break

 

    print("==================================全国数据==================================")

    print()

     

    print("   确诊 " + str(json_str['data']['statistics']['confirmedCount']) + " 例"

      + "    " + "疑似 " + str(json_str['data']['statistics']['suspectedCount']) + " 例"

      + "    " + "死亡" + str(json_str['data']['statistics']['deadCount']) + " 例"

      + "    " + "治愈" + str(json_str['data']['statistics']['curedCount']) + " 例\n")

 

    print("==================================相关情况==================================")

    print()

 

    print("传染源：" + json_str['data']['statistics']['infectSource'])

    print("病毒：" + json_str['data']['statistics']['virus'])

    print("传播途径：" + json_str['data']['statistics']['passWay'])

    print(json_str['data']['statistics']['remark1'])

    print(json_str['data']['statistics']['remark2'] + "\n")

       

    print("==================================国内情况==================================")

    print()

     

    json_provinces = re.findall("{\"provinceName\":(.*", str(soup))

 

    idx = 0

    for province in json_provinces:

      if is_json(province):

        pass

 

      else:

        province = "{\"provinceName\":" + province + "]}"

        province = json.loads(province)

         

      province_name = province['provinceShortName'] if province['provinceShortName'] != 0 else '-'

      confirmed = province['confirmedCount'] if province['confirmedCount'] != 0 else '-'

      suspected = province['suspectedCount'] if province['suspectedCount'] != 0 else '-'

      cured = province['curedCount'] if province['curedCount'] != 0 else '-'

      dead = province['deadCount'] if province['deadCount'] != 0 else '-'

      table.add_row([province_name, confirmed, dead, cured])

      map[province_name] = idx

      idx = idx + 1

      for city in province['cities']:

        provinces_idx[map[province_name]][city['cityName']] = [city['confirmedCount'], city['deadCount'], city['curedCount']]

 

    print(table)

     

     

    print()

    print("==================================国外情况==================================")

    print()

 

    json_provinces = str(re.findall("\"id\":949(.*", str(soup)))

    json_provinces = json_provinces[:1] + "{\"id\":949" + json_provinces[2:]

    json_provinces = json_provinces[:len(json_provinces) - 2] + json_provinces[len(json_provinces) - 1:]

    provinces = json.loads(json_provinces)

 

    table = PrettyTable(['地区', '确诊', '死亡', '治愈'])

    for province in provinces:

      confirmed = province['confirmedCount'] if province['confirmedCount'] != 0 else '-'

      dead = province['deadCount'] if province['deadCount'] != 0 else '-'

      cured = province['curedCount'] if province['curedCount'] != 0 else '-'

      table.add_row([province['provinceName'], confirmed, dead, cured])

     

    print(table)

    print()

     

    print("==================================最新消息==================================")

    print()

     

       

    idx = 0

    for news in json_str['data']['timeline']:

      if idx == 5:

        break

      print(news['pubDateStr'] + " " + news['title'])

      idx = idx + 1

     

 

    print()

    key = input("请输入您想查询详细信息的省份，例如 湖北\n")

    print()

    if key in map.keys():

      query(provinces_idx[map[key]])

    else:

      print("暂无相关信息")

       

    print("\n欢迎提出各种意见")

  except:

    print("连接失败")

 

if __name__ == '__main__':

  main()

  sleep(30)

以上就是Python实时数据采集-新型冠状病毒的详细内容，大家出门要做好安全措施，感谢对的支持。

Python,数据采集,新型冠状病毒