import requests
import pandas as pd
import matplotlib.pyplot as plt
import re
plt.rcParams['font.sans-serif'] = ["SimHei"]
def crawl_data():

    response = requests.get("https://top.chinaz.com/gongsitop/index_500top.html")  
    data = response.text
    company_names = re.findall('<a.*?target="_blank">(.+?)</a></h3>', data)
    legal_representatives = re.findall('法定代表人：</span>(.+?)</p>',data)
    registration_times = re.findall('注册时间：</span>(.+?)</p>', data)
    securities =  re.findall('证券类别：</span>(.+?)</p>', data)

    df = pd.DataFrame({
        "公司名": company_names,
        "法定代表人": legal_representatives,
        "注册时间": registration_times,
        "证券类别": securities
    })

    df.to_csv("500qiang.csv", index=False)

def analyze_data():
    df = pd.read_csv("500qiang.csv")
    securities_counts = df["证券类别"].value_counts()
    total = len(df)
    proportions = securities_counts / total

    labels = securities_counts.index
    sizes = proportions * 100

    plt.pie(sizes, labels=labels, autopct='%1.1f%%')
    plt.axis('equal')
    plt.title("500 强公司证券占比")
    plt.show()

crawl_data()
analyze_data()