新型冠状病毒实时追踪数据,冠状病毒最新数据 实时
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）
导入请求
进口是
从bs4导入美丽的声音
从时间进入睡眠
导入数据
从漂亮的进口表
从漂亮的桌子进口漂亮的桌子
湖北={}
广东={}
浙江={}
北京={}
上海={}
湖南={}
安徽={}
重庆={}
四川={}
山东={}
广西={}
福建={}
江苏={}
河南={}
海南={}
天津={}
江西={}
山西1={} #陕西
贵州={}
辽宁={}
湘钢={}
黑龙江={}
澳门={}
新疆={}
甘肃={}
云南={}
台湾={}
山西2={} #山西
吉林={}
河北={}
宁夏={}
内蒙古={}
青海={} #无
西藏={} #无
省份_ idx=[湖北，广东，浙江，重庆，湖南，安徽，北京，
上海、河南、广西、山东、江西、江苏、四川、
辽宁、福建、黑龙江、海南、天津、河北、山西、
云南、香港、山西、贵州、吉林、甘肃、台湾、
新疆、宁夏、澳门、内蒙古、青海、西藏]
地图={
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)最后，祝大家百毒不侵，中国加油！！一定能够度过难关！！以上就是Python实时数据采集-新型冠状病毒的详细内容，更多请关注盛行IT软件开发工作室其它相关文章！
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