diff --git a/#pachong.py b/#pachong.py
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index 0000000..67041d5
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+++ b/#pachong.py
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+#pachong
+import requests
+# 请求的url
+url = "https://top.chinaz.com/gongsitop/index_500top.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
+# 使用 findall 函数来获取数据
+# 公司名
+company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
+# 法定代表人
+person = re.findall('法定代表人：</span>(.+?)</p>', html)
+# 注册时间
+signDate = re.findall('注册时间：</span>(.+?)</p>', html)
+# 证券类别
+category = re.findall('证券类别：</span>(.+?)</p>', html)
+pageOne = list(zip(company, person, signDate, category))
+message = []
+message2=[]
+# 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/gongsitop/index_500top.html"
+    else:
+        url = "https://top.chinaz.com/gongsitop/index_500top_{}.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)
+    # 法定代表人
+    person = re.findall('法定代表人：</span>(.*?)</p>', html)
+    # 注册时间
+    signDate = re.findall('注册时间：</span>(.*?)</p>', html)
+    # 证券类别
+    category = re.findall('证券类别：</span>(.*?)</p>', html)
+    pageOne = list(zip(company, person, signDate, category))
+    money = re.findall('注册资本：</span(.*?)</p>',html)
+    pageTwo=list(zip(company,money))
+    # 合并列表
+    message.extend(pageOne)
+    message2.extend(pageTwo)
+import csv
+with open("content.csv", "w",encoding='utf-8') as f:
+    w = csv.writer(f)
+    w.writerows(message)
+with open("content2.csv", "w",encoding='utf-8') as f:
+    w = csv.writer(f)
+    w.writerows(message2)
+import pandas as pd
+import chardet
+with open('content.csv','rb') as f:
+    rawdata=f.read()
+    result=chardet.detect(rawdata)
+    print(result['encoding'])
+    encoding=result['encoding']
+# 读取数据
+df = pd.read_csv("content.csv", names=["company", "person", "signDate", "category"], encoding=encoding)
+df.head()
+df.info()
+df1 = df.groupby("category").count()["company"]
+import pandas as pd
+import chardet
+with open('content2.csv','rb') as f:
+    rawdata2=f.read()
+    result2=chardet.detect(rawdata)
+    print(result2['encoding'])
+    encoding=result2['encoding']
+# 读取数据2
+df = pd.read_csv("content2.csv", names=["company",'money'], encoding=encoding)
+df.head()
+df.info()
+sorted_data=df.sort_values(by='money',ascending=False)
+top_20=sorted_data.head(20)
+df2 = top_20.groupby("money").count()["company"]
+import matplotlib.pyplot as plt
+
+# 用黑体显示中文
+plt.rcParams['font.sans-serif'] = ['SimHei']  
+
+labels=df2.index
+sizes=df2.values
+fig1,ax2=plt.subplots()
+ax2.pie(sizes,labels=labels,autopct='%d%%',radius=2,textprops={'fontsize': 20},
+        shadow=False, startangle=90)
+ax2.axis()
+plt.title("top20")
+plt.show()
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