如何在 python 中显示 Pandas DataFrame 上的一些数据？

Question

我已经抓取了一些更新的每日数据（只有数字）。 我想在一个好的表格（数据框）中展示它们。我不知道如何使用熊猫。我正在使用 python，最终结果应该看起来像一个带有定义键的表。谢谢

这是我的python代码：

import requests 
from bs4 import BeautifulSoup

url = 'https://www.worldometers.info/coronavirus/country/Austria/'
page = requests.get(url)
soup = BeautifulSoup(page.text , 'html.parser')



#RECOVERD , DEATHS AND TOTAL CASES
Covid_Cases_Array = []
get_Covid_Cases = soup.find_all(class_ = 'maincounter-number')

for item in get_Covid_Cases:
  Covid_Cases_Array.append(item.text)
  print(item.text)

# Active ND CLOSED DATA
Covid_Active_Closed = []
get_Activ_Closed = soup.find_all(class_ = 'number-table-main')
for item in get_Activ_Closed:
  Covid_Active_Closed.append(item.text)
  print(item.text)

以及该代码的结果：

600,089 


9,997


563,256

26,836
573,253

Answer 1

你可以使用这个例子如何从页面获取数据到DataFrame：

import requests
import pandas as pd
from bs4 import BeautifulSoup


url = "https://www.worldometers.info/coronavirus/country/Austria/"
soup = BeautifulSoup(requests.get(url).content, "html.parser")

cases, deaths, recovered = soup.select(".maincounter-number")
active_cases, closed_cases = soup.select(".number-table-main")
active_cases_mild, active_cases_serious, _, _ = soup.select(".number-table")

df = pd.DataFrame(
    {
        "Coronavirus Cases": [cases.get_text(strip=True)],
        "Deaths": [deaths.get_text(strip=True)],
        "Recovered": [recovered.get_text(strip=True)],
        "Currently infected": [active_cases.get_text(strip=True)],
        "Closed cases": [closed_cases.get_text(strip=True)],
        "Active cases (mild)": [active_cases_mild.get_text(strip=True)],
        "Active cases (serious)": [active_cases_serious.get_text(strip=True)],
    }
)
print(df)

打印：

  Coronavirus Cases Deaths Recovered Currently infected Closed cases Active cases (mild) Active cases (serious)
0           600,089  9,997   563,256             26,836      573,253              26,279                    557