ADD file via upload

大作业.py

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+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
+# 导入 lxml
+from lxml import etree
+parse = etree.HTMLParser(encoding='utf-8')        # 添加编码
+# 解析 requests 返回的响应结果
+doc = etree.HTML(html)
+# 州名
+country = doc.xpath('//*[@id="main"]/div[2]/div/div/div/div/div[1]/table/tbody/tr/td/span/text()')
+# 确诊人数
+person = doc.xpath('//*[@id="main"]/div[2]/div/div/div/div/div[1]/table/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('//*[@id="main"]/div[2]/div/div/div/div/div[1]/table/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]
+# 打包数据之后将其转换成列表
+message = list(zip(country, person, death))
+message=message[:10]
+# 导入python中的内置模块csv
+import csv
+with open("content.csv", "w",encoding="utf-8") 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="utf-8")
+print(df)
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['SimHei'] 
+plt.rcParams['axes.unicode_minus'] = False  
+plt.rcParams['figure.figsize'] = (10, 5)
+x = df["country"]
+y = df["death"]
+plt.bar(x,y)
+plt.xlabel("美国州名",fontsize=14)
+plt.ylabel("死亡人数",fontsize=14)
+plt.show()
+