Python–各国冠状病毒病例详情
在本文中，我们将看到如何制作一个脚本，仅通过键入国家的名称就可以获得冠状病毒病例的详细信息，即总病例数、恢复病例数和总死亡人数。 所需模块及安装: 请求:请求让你可以极其轻松地发送 HTTP/1.1 请求。没有必要手动添加查询字符串到你的网址。
pip install requests
美人汤:美人汤是一个库，可以方便的从网页上刮取信息。它位于 HTML 或 XML 解析器之上，为迭代、搜索和修改解析树提供了 Pythonic 习惯用法。
pip install beautifulsoup4
为了制作这个剧本我们要做以下几点: 1。从国家名称创建网址 2。借助请求和靓汤 3 刮数据。将数据转换成 html 代码。 4。找到所需的详细信息并进行筛选。 5。将结果保存在字典中。
下面是实现–
Python 3
# importing libraries
from bs4 import BeautifulSoup as BS
import requests
# method to get the info
def get_info(country_name):
# creating url using country name
url = "https://www.worldometers.info/coronavirus/country/" + country_name + "/"
# getting the request from url
data = requests.get(url)
# converting the text
soup = BS(data.text, 'html.parser')
# finding meta info for cases
cases = soup.find_all("div", class_ = "maincounter-number")
# getting total cases number
total = cases[0].text
# filtering it
total = total[1 : len(total) - 2]
# getting recovered cases number
recovered = cases[2].text
# filtering it
recovered = recovered[1 : len(recovered) - 1]
# getting death cases number
deaths = cases[1].text
# filtering it
deaths = deaths[1 : len(deaths) - 1]
# saving details in dictionary
ans ={'Total Cases' : total, 'Recovered Cases' : recovered,
'Total Deaths' : deaths}
# returning the dictionary
return ans
# setting country name
country_name = "us"
# calling the get_info method
us = get_info(country_name)
# printing the results for us
print("Cases in United States")
for i, j in us.items():
print(i + " : " + j)
print("----------------------------")
# setting country name to india
country_name = "india"
# calling the get_info method
india = get_info(country_name)
# printing the results for us
print("Cases in India")
for i, j in india.items():
print(i + " : " + j)
输出:
Cases in United States
Total Cases : 654,343
Recovered Cases : 56,618
Total Deaths : 33,490
----------------------------
Cases in India
Total Cases : 12,759
Recovered Cases : 1,514
Total Deaths : 423
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