diff --git a/README.md b/README.md
index 036313e..1cf5233 100644
--- a/README.md
+++ b/README.md
@@ -1,50 +1 @@
-#https://top.chinaz.com/gongsitop/index_500top.
-import requests
-import re
-import csv
-import pandas as pd
-import matplotlib.pyplot as plt
-url = "https://top.chinaz.com/gongsitop/index_500top.html"
-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"
-}
-response = requests.get(url, headers=headers)
-html = response.text
-html
-company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
-person = re.findall('法定代表人：</span>(.+?)</p>', html)
-signDate = re.findall('注册时间：</span>(.+?)</p>', html)
-category = re.findall('证券类别：</span>(.+?)</p>', html)
-category
-message = []
-for page in range(16):
-    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)
-    response = requests.get(url, headers=headers)
-    html = response.text
-    company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
-    person = re.findall('法定代表人：</span>(.*?)</p>', html)
-    signDate = re.findall('注册时间：</span>(.*?)</p>', html)
-    category = re.findall('证券类别：</span>(.*?)</p>', html)
-    pageOne = list(zip(company, person, signDate, category))
-    message.extend(pageOne)
-message
-with open("content.csv", "w") as f:
-    w = csv.writer(f)
-    w.writerows(message)
-!cat content.csv
-df = pd.read_csv("content.csv", names=["company", "person", "signDate", "category"])
-df.head()
-df.info()
-df1 = df.groupby("category").count()["company"]
-%matplotlib inline
-plt.rcParams['font.sans-serif'] = ['SimHei']  
-labels = df1.index
-sizes = df1.values
-fig1, ax1 = plt.subplots()
-ax1.pie(sizes, labels=labels, autopct='%d%%',radius=2,textprops={'fontsize': 20},
-        shadow=False, startangle=90)
-ax1.axis()
-plt.show()
\ No newline at end of file
+https://top.chinaz.com/gongsitop/index_500top.