Python实现实时数据采集新型冠状病毒数据实例

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>(.*?)</span>', TitleTime) return TitleTime[0] def getAllCountry(text): AllCountry = str(text) AllCountry = AllCountry.replace("[<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，感谢对软件开发网的支持。

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冠状病毒 数据采集 数据 Python