diff --git a/pcdm.py b/pcdm.py
new file mode 100644
index 0000000..66bff23
--- /dev/null
+++ b/pcdm.py
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+#首先我们需要导入 requests 库
+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
+# 导入 re 模快
+import re
+# 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/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)
+    #注册资本
+    registered=re.findall('注册资本：</span>(.*?)</p>',html)
+    pageOne = list(zip(company,registered))
+    # 合并列表
+    message.extend(pageOne)
+# 导入python中的内置模块csv
+import csv
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+!cat content.csv
+import pandas as pd
+
+# 读取数据
+df = pd.read_csv("content.csv", names=["company", "registered"])
+df.head()
+df.info()
+# 在jupyter中直接展示图像
+%matplotlib inline
+import matplotlib.pyplot as plt
+
+# 用黑体显示中文
+plt.rcParams['font.sans-serif'] = ['SimHei']  
+
+#
+df['registered']=df['registered'].astype(str)
+df['registered'] = df['registered'].str.extract('(\d+(?:\.\d+)?)',expand=False).astype(float)
+
+#降序
+df_sorted=df.sort_values(by='registered',ascending=False)
+
+#提取前20位
+top_20=df_sorted.head(20)
+
+#柱状图
+plt.bar(top_20['company'],top_20['registered'])
+plt.xticks(rotation=45)
+plt.xlabel('公司名字')
+plt.ylabel('注册资本')
+
+#
+plt.show