diff --git a/疫情爬虫.py b/疫情爬虫.py
new file mode 100644
index 0000000..94e9bd6
--- /dev/null
+++ b/疫情爬虫.py
@@ -0,0 +1,31 @@
+#####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()
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