diff --git a/2.py b/2.py
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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Jun  6 14:36:59 2024
+
+@author: Asus
+"""
+import requests
+url = "https://top.chinaz.com/gongsi/index_shizhi.html"
+# 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
+
+import re
+# 公司名
+company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
+# 注册资本
+money = re.findall('<em>(.+?)</em>市值</div>', html)
+pageOne = list(zip(company, money))
+# 存储内容
+message = []
+# 总共16个页面的数据
+for page in range(16):
+    # 组装url
+    if page == 0:
+        url = "https://top.chinaz.com/gongsi/index_shizhi.html"
+    else:
+        url = "https://top.chinaz.com/gongsi/index_shizhi_{}.html".format(page + 1)
+    # 使用reqeusts模快发起 GET 请求
+    response = requests.get(url, headers=headers)
+    html = response.text
+    # 使用 findall 函数来获取数据
+    # 公司名
+    company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
+    # 注册资本
+    money = re.findall('<em>(.+?)</em>市值</div>', html)
+    pageOne = list(zip(company, money))
+    # 合并列表
+    message.extend(pageOne)
+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=["company", "money"])
+df.head()
+df.info()
+df1 = df.groupby("money").count()["company"]
+top20=df.sort_values(by='money',ascending=False).head(20)
+    
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['SimHei'] # 步骤一（替换sans-serif字体）
+plt.rcParams['axes.unicode_minus'] = False  # 步骤二（解决坐标轴负数的负号显示问题）
+plt.figure(figsize=(10, 6))  # 设置图像大小
+plt.bar(top20['company'], top20['money'], color='skyblue')  # 绘制条形图
+plt.title('市值最多的公司TOP20')  # 设置标题
+plt.xlabel('公司名称')  # 设置x轴标签
+plt.ylabel('市值')  # 设置y轴标签
+plt.xticks(rotation=45)  # 设置x轴标签旋转角度，以便更好地显示
+plt.tight_layout()  # 调整布局，避免标签重叠
+plt.show()  # 显示图像
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