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
import re
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
    signfunds = re.findall('注册资本：</span>(.+?)</p>', html)
    pageOne = list(zip(company,signfunds))
    # 合并列表
    message.extend(pageOne)
import csv
with open("content.csv", "w") as f:
    w = csv.writer(f)
    w.writerows(message)
import pandas as pd
# 读取数据
df = pd.read_csv("content.csv", names=["company","signfunds"])
y_funds = df.loc[df['signfunds'].str.contains('亿')]
y_funds['signfunds'] = y_funds['signfunds'].str.replace('亿元', '')
y_funds['signfunds'] = y_funds['signfunds'].astype(float)
y_funds_sorted = y_funds.sort_values(by=['signfunds'],ascending=False)
import matplotlib.pyplot as plt
%matplotlib inline
# 绘制横向条形图
funds_top_20 = y_funds_sorted.head(20)
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.barh(funds_top_20['company'], funds_top_20['signfunds'])
plt.xlabel('注册资金（亿元）')  # 添加x轴标签
plt.ylabel('公司')  # 添加y轴标签
plt.title('注册资金最多的公司 top20 ')  # 添加标题
plt.gca().invert_yaxis()  # 反转y轴，使得最高条形在顶部
plt.show()