import requests
url = "https://www.bitpush.news/covid19/"
# 设置请求头信息
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"
}
# 使用reqeusts模快发起 GET 请求
response = requests.get(url, headers=headers)
# 获取请求的返回结果
html = response.text
html
# 导入 lxml
from lxml import etree
#  若是本地没有安装 lxml 的同学可以通过“pip install lxml”来安装
# 创建一个 lxml 对象，编码方式设为 utf-8
parse = etree.HTMLParser(encoding='utf-8')        # 添加编码
# 解析 requests 返回的响应结果
doc = etree.HTML(html)
country = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
# 确诊人数
person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
# 由于确诊人数中有逗号，我们使用列表推导式删除
person = [x.replace(",", "") for x in person]
# 死亡人数
death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
# 同样使用列表推导式删除逗号
death = [x.replace(",", "") for x in death]
message = list(zip(country, person, death))
message
import csv
with open("content.csv", "w") as f:
    w = csv.writer(f)
    w.writerows(message)
import pandas as pd

# 读取数据
df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
df.head()
df.info()
df1 = df.drop(0).tail(58)
df2=df1.head(15)
print(df2)
import matplotlib.pyplot as plt

# 在jupyter中直接展示图像
%matplotlib inline
# 设置中文显示
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['figure.figsize'] = (10, 5)  # 设置figure_size尺寸

# x轴坐标
x = df2["country"].values
# y轴坐标
y = df2["death"].values
# 绘制柱状图
plt.bar(x, y)
# 设置x轴名称
plt.xlabel("国家",fontsize=14)
# 设置x轴名称
plt.ylabel("死亡人数",fontsize=14)
plt.show()