使用Python绘制各国冠状病毒的增长曲线

在本文中，我们将收集有关全球和特定国家冠状病毒病例的最新更新信息。我们将绘制图表以可视化过去 20 天的病例总数和总死亡人数的增长。最新数据来自Our World in Data。

需要Python模块

• 要求：
  requests 库用于在Python中发出 HTTP 请求。

  pip install requests
  

• matplotlib：
  matplotlib 是一个综合库，用于在Python中创建各种类型的图形和交互式可视化。

  pip install matplotlib
  

解释：

从网站上抓取的数据（使用请求）被转换为类似 csv 的格式。然后过滤这些数据以获得过去 20 天所需的统计数据，并绘制可视化（使用 matplotlib）。

下面是实现。

from matplotlib import pyplot as plt
import requests
   
  
# function to plot data for country 
# and world
def Plot(country):
   
    # getting request from the url
    req = requests.get('https://covid.ourworldindata.org / data / ecdc / full_data.csv')
    req.raise_for_status()
       
    # converting to text and splitting 
    # the rows of the csv data
    cf = req.text.split('\n')
   
    # converting to 2 dimensional list
    for i in range(len(cf)):
        cf[i]= cf[i].split(', ')  
       
       
    dates =[]
    total =[]
    total_w =[]
    deaths =[]
    deaths_w =[]
    l =[]
    f = 0
   
       
    for i in range(len(cf)-1):
        l = cf[i]
        c = l[1]
          
        # filtering data for a particular country
        if c == country:
            f = 1
              
            # getting the dates, total cases and
            # deaths for the particular country
            dates.append(l[0][5:])      
            total.append(int(l[4]))
            deaths.append(int(l[5]))
               
                  
        # filtering data for the world
        if c =='World':
   
            # getting total cases and deaths for
            # the world
            total_w.append(int(l[4]))
            deaths_w.append(int(l[5]))
               
    if f == 0:
        print("Invalid country name.")
        return
   
        
    # Plotting country data
    total_ax = plt.subplot(2, 2, 1)
    total_ax.set_title(country+' (Total Cases)')
       
    # plotting the curve for total cases
    total_ax.plot(dates[-20:], total[-20:])
       
    # plotting the bars for total cases
    total_ax.bar(dates[-20:], total[-20:], alpha = 0.5)
       
    total_ax.set_xlabel("Date")
    plt.xticks(rotation = 45)
   
   
   
   
   
    death_ax = plt.subplot(2, 2, 2)
    death_ax.set_title(country+' (Total Deaths)')
   
    # plotting the curve for deaths
    death_ax.plot(dates[-20:], deaths[-20:], color ='red')
       
    # plotting the bars for deaths
    death_ax.bar(dates[-20:], deaths[-20:], color ='red', alpha = 0.5)
       
    death_ax.set_xlabel("Date")
    plt.xticks(rotation = 45)
   
   
    
    # Plotting world data
    total_w_ax = plt.subplot(2, 2, 3)
    total_w_ax.set_title('World (Total Cases)')
   
    # plotting the curve for total cases
    total_w_ax.plot(dates[-20:], total_w[-20:])
   
    # plotting the bar for total cases
    total_w_ax.bar(dates[-20:], total_w[-20:], alpha = 0.5)
   
    total_w_ax.set_xlabel("Date")
    plt.xticks(rotation = 45)
   
   
   
       
       
    death_w_ax = plt.subplot(2, 2, 4)
    death_w_ax.set_title('World (Total Deaths)')
   
    # plotting the curve for deaths
    death_w_ax.plot(dates[-20:], deaths_w[-20:], color ='red')
   
    # plotting the curve for deaths
    death_w_ax.bar(dates[-20:], deaths_w[-20:], color ='red', alpha = 0.5)
   
    death_w_ax.set_xlabel("Date")
    plt.xticks(rotation = 45)
       
   
    plt.tight_layout()
         
  
print("Enter country name...")
country = input().title()
Plot(country)
plt.show()

输入 ：

Enter country name...
India

输出 ：

输入 ：

Enter country name...
Italy

输出 ：