diff --git a/中国500强公司信息爬取.py b/中国500强公司信息爬取.py
index 73e9cd9..b65263f 100644
--- a/中国500强公司信息爬取.py
+++ b/中国500强公司信息爬取.py
@@ -1,30 +1,30 @@
 import requests
 # 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/101.0.4951.64 Safari/537.36 Edg/101.0.1210.47"
+    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.64 Safari/537.36 Edg/101.0.1210.53"
 }
 import re
 # 存储内容
 message = []
-# 总共16个页面的数据
-for page in range(16):
+# 总共17个页面的数据
+for page in range(17):
     # 组装url # 请求的url
     if page == 0:
-        # https://top.chinaz.com/gongsitop/index_500top.html
-        url = "https://top.chinaz.com/gongsitop/index_500top.html"
+        # https://top.chinaz.com/gongsi/index_zhuce.html
+        url = "https://top.chinaz.com/gongsi/index_zhuce.html"
     else:
-        # https://top.chinaz.com/gongsitop/index_500top_2.html
-        url = "https://top.chinaz.com/gongsitop/index_500top_{}.html".format(page + 1)
+        # https://top.chinaz.com/gongsi/index_zhuce_2.html
+        url = "https://top.chinaz.com/gongsi/index_zhuce_{}.html".format(page + 1)
     # 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
     # 使用 findall 函数来获取数据
     # 公司名
-    # <a href="/company/ZhongGuoShiYouHuaGongGuFen.html" target="_blank">中国石油化工股份有限公司</a></h3>
+    # <a href="/company/ZhongGuoTieLu.html" target="_blank">中国铁路总公司</a></h3>
     company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
     # 注册资本
-    # 注册资本：</span>1210.71亿元</p>
+    # 注册资本：</span>103600000万人民币</p>
     money = re.findall('注册资本：</span>(.*?)</p>', html)
     # 对应项目的信息进行打包
     pageOne = list(zip(company, money))
@@ -40,10 +40,10 @@ df = pd.read_csv("content01.csv", names=["company", "money"], encoding='gbk')
 # 填充空元素
 df = df.fillna('0')
 # 注册资本单位转换
-company_all=list(df['company'])
-money_all=list(df['money'])
+company_all_top500=list(df.loc[0:499,'company'])
+money_all_top500=list(df.loc[0:499,'money'])
 money_all_number=[]
-for i in money_all:
+for i in money_all_top500:
     p=''
     for j in i:
         if j in '0123456789.':
@@ -59,7 +59,7 @@ for i in money_all:
     if '港' in i:
         p=int(p*0.8585+0.5)
     money_all_number.append(p)
-data={'company':company_all,'money':money_all_number}
+data={'company':company_all_top500,'money':money_all_number}
 df=pd.DataFrame(data)
 df=df.sort_values(by=['money'],ascending=False)
 # 取注册资本最多的前二十公司名称和注册资本
@@ -87,7 +87,7 @@ plt.rcParams['font.sans-serif'] = ['SimHei']
 plt.rcParams['axes.unicode_minus'] = False
 plt.bar(range(20),money_top20)
 plt.xticks(range(20),company_top20_y)
-plt.yticks([5e10,10e10,15e10,20e10,25e10,30e10,35e10],['500亿','1000亿','1500亿','2000亿','2500亿','3000亿','3500亿'])
-plt.ylabel('注册资金')
+plt.yticks([2000e8,4000e8,6000e8,8000e8,10000e8],['2000','4000','6000','8000','10000'])
+plt.ylabel('注册资本/亿元')
 plt.title('中国500强公司注册资金前二十的公司及注册资金示意图')
 plt.show()
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