From 53416c82ea73bf6e759a9b24c7822045d314a7ba Mon Sep 17 00:00:00 2001
From: hnu201807010805 <hnu201807010805@qq.com>
Date: Sat, 10 Dec 2022 17:25:14 +0800
Subject: [PATCH] Update README.md

---
 README.md | 50 +++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 49 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 57fc8e0..9adcb61 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,50 @@
 # index_500top
-
+import requests
+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
+import re
+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 = []
+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)
+import csv
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+!cat content.csv
+import pandas as pd
+df = pd.read_csv("content.csv", names=["company", "person", "signDate", "category"])
+df.head()
+df.info()
+df1 = df.groupby("category").count()["company"]
+df1
+%matplotlib inline
+import matplotlib.pyplot as plt
+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()