#####请在以下代码块填写爬虫代码
import requests
url = "https://www.bitpush.news/covid19/"# 请求的url
headers = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36"}# 设置请求头信息
response = requests.get(url, headers=headers)# 使用reqeusts模快发起 GET 请求
html = response.text# 获取请求的返回结果
from lxml import etree# 导入 lxml
doc = etree.HTML(html)
#XPath 使用路径表达式来选取 XML 文档中的节点或节点集。节点是通过沿着路径 (path) 或者步 (steps) 来选取的。
country = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
person = [x.replace(",", "") for x in person]
death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
death = [x.replace(",", "") for x in death]
message = list(zip(country, person, death))# 打包数据之后将其转换成列表
import csv# 导入python中的内置模块csv，将列表写入文件
with open("content.csv", "w") as f:
    w = csv.writer(f)
    w.writerows(message)
import pandas as pd#导入pandas库，读取数据
df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
df1 = df.drop(0).head(10)# 由于第一行是全球的数据总和，我们先将其删除，我们显示10个国家在图上
import matplotlib.pyplot as plt#导入plt库，作图
plt.rcParams['font.sans-serif'] = ['SimHei']# 设置中文显示
plt.rcParams['figure.figsize'] = (10, 5)  # 设置figure_size尺寸
x = df1["country"].values
y = df1["death"].values
plt.bar(x, y)
plt.xlabel("国家",fontsize=14)
plt.ylabel("死亡人数",fontsize=14)
plt.show()
#练习二如下
import requests
url = "https://www.bitpush.news/covid19/"
headers = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36"}
response = requests.get(url, headers=headers)
html = response.text
from lxml import etree
doc = etree.HTML(html)
country = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
person = [x.replace(",", "") for x in person]
death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
death = [x.replace(",", "") for x in death]
message=[]
for i in range(len(death)):
    a=[country[i],person[i],death[i]]
    message.append(a)
f=lambda x : eval(x[1])
message=sorted(message,key=f,reverse=True)
print(message)
import csv
with open("content.csv", "w") as f:
    w = csv.writer(f)
    w.writerows(message)
import pandas as pd
df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
df1 = df.drop(0).head(15)
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['figure.figsize'] = (15, 5)
x = df1["country"].values
y = df1["person"].values
plt.bar(x, y)
plt.xlabel("国家",fontsize=14)
plt.ylabel("感染人数",fontsize=14)
plt.show()
#练习一如下
import requests
url = "https://www.bitpush.news/covid19/"
headers = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36"}
response = requests.get(url, headers=headers)
html = response.text
from lxml import etree
doc = etree.HTML(html)
country = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td/span/text()')
person = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[2]/text()')
person = [x.replace(",", "") for x in person]
death = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[3]/text()')
death = [x.replace(",", "") for x in death]
message=[]
for i in range(len(death)):
    a=[country[i],person[i],death[i]]
    message.append(a) 
f=lambda x : eval(x[1])
message=sorted(message,key=f,reverse=True)
print(message)
import csv
with open("content.csv", "w") as f:
    w = csv.writer(f)
    w.writerows(message)
import pandas as pd
df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
df1 = df.drop(0).head(15)
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['figure.figsize'] = (15, 5)
x = df1["country"].values
y = df1["person"].values
plt.bar(x, y)
plt.xlabel("地区",fontsize=14)
plt.ylabel("感染人数",fontsize=14)
plt.show()