diff --git a/疫情数据爬取demo.py b/疫情数据爬取demo.py
new file mode 100644
index 0000000..adcb379
--- /dev/null
+++ b/疫情数据爬取demo.py
@@ -0,0 +1,45 @@
+import requests
+import csv
+from lxml import etree
+import pandas as pd
+import matplotlib.pyplot as plt
+
+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/98.0.4758.82 Safari/537.36",
+}  # 头部，伪装浏览器访问，防反爬虫。
+response = requests.get(url=url, headers=headers)  # request.get请求网址
+html = response.text    # 网址源代码
+parse = etree.HTMLParser(encoding='utf-8')  # 创建HTML解析，格式为"utf-8"
+doc = etree.HTML(html)
+
+# xpath解析网站格式
+country = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div/div[1]/table/tbody/tr/td/span/text()')
+person = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div/div[1]/table/tbody/tr/td[2]/text()')
+person = [x.replace(",", "") for x in person]  # 由于确诊人数中有逗号，我们使用列表推导式删除
+death = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div/div[1]/table/tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]  # 同上
+
+message = list(zip(country, person, death))  # 打包数据之后将其转换成列表
+# csv文件保存
+with open("content.csv", "w", encoding="utf-8", newline="") as f:   # newline=""防止空行
+    w = csv.writer(f)
+    w.writerows(message)
+df = pd.read_csv("content.csv", names=["country", "person", "death"])
+df1 = df.head(15)  # df的前15项
+
+# 绘制条形图
+# 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 = df1["country"].values
+# y轴坐标
+y = df1["person"].values
+# 绘制柱状图
+plt.bar(x, y)
+# 设置x轴名称
+plt.xlabel("城市", fontsize=14)
+# 设置x轴名称
+plt.ylabel("确诊人数", fontsize=14)
+plt.show()   # 显示条形图