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100 lines
2.8 KiB
100 lines
2.8 KiB
# -*- coding: utf-8 -*-
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"""
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Created on Thu Dec 1 11:48:04 2022
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@author: 2602103447
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"""
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##### 代码窗口
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#导入库
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from bs4 import BeautifulSoup
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import requests
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import pandas as pd
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import matplotlib.pyplot as plt
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# 请求的url
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url = 'https://www.bitpush.news/covid19/'
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# 使用reqeusts模快发起 GET 请求
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result = requests.get(url)
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#逐一解析数据
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doc = BeautifulSoup(result.text, 'html.parser')
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tbody = doc.find_all("tbody")
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us = tbody[1]
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table = us.find_all('tr')
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s = []
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c = []
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d = []
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for tr in table:
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#爬取州
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state = tr.find('span').string
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#爬取确诊病例
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cases = tr.find(attrs={'class':'table_card_cell_col_1 table_card_cell_int_type'}).string.replace(',','')
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#爬取死亡人数
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deaths = tr.find(attrs={'class':'table_card_cell_col_2 table_card_cell_float_type'}).string.replace(',','')
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s.append(state)
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c.append(int(cases))
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d.append(int(deaths))
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#查找数据
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df = pd.DataFrame(list(zip(s, c, d)),
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columns =['州', '确诊病例', '死亡人数'])
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df1 = df.sort_values(by=['确诊病例'], ascending=False).head(15)
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df2 = df.sort_values(by=['死亡人数'], ascending=False).head(15)
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print('确诊病例top15排行')
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print(df1)
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print('死亡病例top15排行')
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print(df2)
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#添加搜索州的疫情情况
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state = input("请输入你要查询的州的名称： ")
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for i in df.values:
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if i[0] == state:
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print("查询结果如下：")
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print('州名称：',end =' ')
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print(i[0])
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print('确诊人数：',end =' ')
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print(i[1])
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print('死亡人数：',end =' ')
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print(i[2])
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print('查询完成')
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break
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else:
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print("抱歉，没有查到相关的信息。")
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#数据可视化
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%matplotlib inline
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.rcParams['figure.figsize'] = (16,5)
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#绘制确诊人数柱形图
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x = df1['州'].values
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y = df1['确诊病例'].values
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plt.bar(x,y,width=0.6)
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plt.xlabel('州',fontsize = 14)
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plt.ylabel('确诊病例',fontsize = 14)
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plt.title('疫情确诊人数排名 top15')
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plt.show()
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#绘制死亡人数柱形图
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x = df2['州'].values
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y = df2['死亡人数'].values
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plt.bar(x,y,width=0.6)
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plt.xlabel('州',fontsize = 14)
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plt.ylabel('死亡人数',fontsize = 14)
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plt.title('死亡人数人数排名 top15')
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plt.show()
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#绘制确诊人数top15饼图
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labels = df1['州'].values
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oppcy = df1['确诊病例'].values
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plt.pie(oppcy,labels=labels,autopct='%1.2f%%',radius=2)
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plt.savefig("确诊人数top15饼图.jpg",dpi=200)
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plt.title('确诊人数top15饼图')
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plt.show()
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#绘制死亡人数top15饼图
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labels = df2['州'].values
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oppcy = df2['死亡人数'].values
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plt.pie(oppcy,labels=labels,autopct='%1.2f%%',radius=2)
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plt.savefig("死亡人数top15饼图.jpg",dpi=200)
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plt.title('死亡人数top15饼图')
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plt.show() |