{"id":1018821,"date":"2024-12-27T12:46:37","date_gmt":"2024-12-27T04:46:37","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1018821.html"},"modified":"2024-12-27T12:46:48","modified_gmt":"2024-12-27T04:46:48","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python-%e8%82%a1%e7%a5%a8%e7%ad%9b%e9%80%89","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1018821.html","title":{"rendered":"\u5982\u4f55\u7528python \u80a1\u7968\u7b5b\u9009"},"content":{"rendered":"

\"\u5982\u4f55\u7528python<\/p>\n

\u5229\u7528Python\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u662f\u4e00\u79cd\u6709\u6548\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u7f16\u5199\u811a\u672c\u53ef\u4ee5\u81ea\u52a8\u5316\u5730\u4ece\u5927\u91cf\u80a1\u7968\u6570\u636e\u4e2d\u7b5b\u9009\u51fa\u7b26\u5408\u7279\u5b9a\u6761\u4ef6\u7684\u80a1\u7968\u3002\u901a\u8fc7\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3001\u5b9a\u4e49\u7b5b\u9009\u6761\u4ef6\u3001\u4f7f\u7528Python\u7f16\u5199\u7b5b\u9009\u903b\u8f91\u3001\u4ee5\u53ca\u53ef\u89c6\u5316\u5206\u6790\u7ed3\u679c\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684\u80a1\u7968\u7b5b\u9009<\/strong>\u3002\u5176\u4e2d\uff0c\u83b7\u53d6\u80a1\u7968\u6570\u636e\u662f\u5173\u952e\u7684\u4e00\u6b65\uff0c\u53ef\u4ee5\u901a\u8fc7API\u6216\u8005\u7f51\u7edc\u722c\u866b\u6765\u5b9e\u73b0\u3002\u5728\u7f16\u5199\u7b5b\u9009\u903b\u8f91\u65f6\uff0c\u7ed3\u5408\u81ea\u5df1\u7684\u6295\u8d44\u7b56\u7565\u548c\u5e02\u573a\u5206\u6790\u80fd\u529b\uff0c\u53ef\u4ee5\u5236\u5b9a\u51fa\u4e2a\u6027\u5316\u7684\u7b5b\u9009\u6761\u4ef6\u3002\u4ee5\u4e0b\u5c06\u5bf9\u5176\u4e2d\u7684\u201c\u83b7\u53d6\u80a1\u7968\u6570\u636e\u201d\u8fdb\u884c\u8be6\u7ec6\u63cf\u8ff0\u3002<\/p>\n<\/p>\n

\u83b7\u53d6\u80a1\u7968\u6570\u636e\u53ef\u4ee5\u9009\u62e9\u901a\u8fc7API\u63a5\u53e3\uff0c\u5982Alpha Vantage\u3001Yahoo Finance\u6216\u8005\u56fd\u5185\u7684TuShare\u7b49\u3002\u4f7f\u7528API\u63a5\u53e3\u7684\u597d\u5904\u662f\u53ef\u4ee5\u83b7\u53d6\u5230\u5b9e\u65f6\u7684\u5e02\u573a\u6570\u636e\u548c\u5386\u53f2\u6570\u636e\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u5206\u6790\u548c\u7b5b\u9009\u3002\u4ee5Yahoo Finance\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684yfinance\u5e93\u6765\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5yfinance\u5e93\uff0c\u7136\u540e\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u5373\u53ef\u83b7\u53d6\u5230\u6307\u5b9a\u80a1\u7968\u7684\u5386\u53f2\u6570\u636e\uff0c\u5305\u62ec\u5f00\u76d8\u4ef7\u3001\u6536\u76d8\u4ef7\u3001\u6700\u9ad8\u4ef7\u3001\u6700\u4f4e\u4ef7\u548c\u6210\u4ea4\u91cf\u7b49\u4fe1\u606f\u3002\u8fd9\u4e9b\u6570\u636e\u662f\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u7684\u57fa\u7840\uff0c\u540e\u7eed\u7684\u7b5b\u9009\u903b\u8f91\u5c06\u57fa\u4e8e\u8fd9\u4e9b\u6570\u636e\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n

\u4ee5\u4e0b\u662f\u5173\u4e8e\u5982\u4f55\u7528Python\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n

\u4e00\u3001\u83b7\u53d6\u80a1\u7968\u6570\u636e<\/p>\n<\/p>\n

\u83b7\u53d6\u80a1\u7968\u6570\u636e\u662f\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u7684\u7b2c\u4e00\u6b65\u3002\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u5f0f\u53ef\u4ee5\u83b7\u53d6\u5230\u80a1\u7968\u5e02\u573a\u7684\u6570\u636e\uff0c\u8fd9\u5305\u62ec\u4f7f\u7528API\u63a5\u53e3\u3001\u7f51\u7edc\u722c\u866b\u7b49\u65b9\u6cd5\u3002\u5176\u4e2d\uff0c\u4f7f\u7528API\u63a5\u53e3\u662f\u4e00\u79cd\u8f83\u4e3a\u4fbf\u6377\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u5feb\u901f\u5730\u83b7\u53d6\u5230\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

    \n
  1. \u4f7f\u7528API\u63a5\u53e3\u83b7\u53d6\u6570\u636e<\/li>\n<\/ol>\n

    \u501f\u52a9\u4e8eAPI\u63a5\u53e3\uff0c\u6211\u4eec\u53ef\u4ee5\u4ece\u91d1\u878d\u6570\u636e\u63d0\u4f9b\u5546\u5904\u83b7\u53d6\u5230\u5b9e\u65f6\u5e02\u573a\u6570\u636e\u548c\u5386\u53f2\u6570\u636e\u3002\u5e38\u7528\u7684API\u63a5\u53e3\u5305\u62ecAlpha Vantage\u3001Yahoo Finance\u548cTuShare\u7b49\u3002\u4ee5Yahoo Finance\u4e3a\u4f8b\uff0cPython\u7684yfinance\u5e93\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u63a5\u53e3\u6765\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3002\u901a\u8fc7\u8c03\u7528yfinance\u5e93\u4e2d\u7684download<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u83b7\u53d6\u5230\u6307\u5b9a\u80a1\u7968\u7684\u5386\u53f2\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    import yfinance as yf<\/p>\n
    \u83b7\u53d6\u82f9\u679c\u516c\u53f8\u80a1\u7968\u7684\u5386\u53f2\u6570\u636e<\/strong><\/h2>\n
    data = yf.download('AAPL', start='2020-01-01', end='2023-10-31')<\/p>\n
    print(data.head())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e0a\u8ff0\u4ee3\u7801\u5c06\u4e0b\u8f7d\u82f9\u679c\u516c\u53f8\u81ea2020\u5e741\u67081\u65e5\u81f32023\u5e7410\u670831\u65e5\u7684\u5386\u53f2\u6570\u636e\uff0c\u5e76\u663e\u793a\u524d\u51e0\u884c\u6570\u636e\u3002\u6570\u636e\u5305\u62ec\u65e5\u671f\u3001\u5f00\u76d8\u4ef7\u3001\u6700\u9ad8\u4ef7\u3001\u6700\u4f4e\u4ef7\u3001\u6536\u76d8\u4ef7\u3001\u8c03\u6574\u540e\u6536\u76d8\u4ef7\u548c\u6210\u4ea4\u91cf\u3002<\/p>\n<\/p>\n
      \n
    1. \u4f7f\u7528\u7f51\u7edc\u722c\u866b\u83b7\u53d6\u6570\u636e<\/li>\n<\/ol>\n
      \u9664\u4e86API\u63a5\u53e3\uff0c\u7f51\u7edc\u722c\u866b\u4e5f\u662f\u83b7\u53d6\u80a1\u7968\u6570\u636e\u7684\u4e00\u4e2a\u9014\u5f84\u3002\u901a\u8fc7\u7f16\u5199\u722c\u866b\u811a\u672c\uff0c\u53ef\u4ee5\u4ece\u5404\u5927\u91d1\u878d\u7f51\u7ad9\u4e0a\u6293\u53d6\u6240\u9700\u7684\u80a1\u7968\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u6293\u53d6\u5230\u7f51\u7ad9\u4e0a\u5c55\u793a\u7684\u5404\u79cd\u4fe1\u606f\uff0c\u5305\u62ec\u65b0\u95fb\u3001\u516c\u544a\u7b49\u3002\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4f7f\u7528\u7f51\u7edc\u722c\u866b\u65f6\u8981\u9075\u5faa\u7f51\u7ad9\u7684\u4f7f\u7528\u6761\u6b3e\uff0c\u907f\u514d\u5bf9\u7f51\u7ad9\u9020\u6210\u8fc7\u5927\u7684\u8d1f\u62c5\u3002<\/p>\n<\/p>\n
      \u4f7f\u7528Python\u7684requests\u5e93\u548cBeautifulSoup\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u7f51\u7edc\u722c\u866b\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4ece\u67d0\u4e2a\u91d1\u878d\u7f51\u7ad9\u4e0a\u6293\u53d6\u80a1\u7968\u7684\u57fa\u672c\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
      import requests<\/p>\n
      from bs4 import BeautifulSoup<\/p>\n
      \u8bf7\u6c42\u7f51\u9875<\/strong><\/h2>\n
      url = 'https:\/\/example.com\/stock\/AAPL'<\/p>\n
      response = requests.get(url)<\/p>\n
      soup = BeautifulSoup(response.text, 'html.parser')<\/p>\n
      \u63d0\u53d6\u6240\u9700\u6570\u636e<\/strong><\/h2>\n
      stock_price = soup.find('div', class_='stock-price').text<\/p>\n
      print(stock_price)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e0a\u8ff0\u4ee3\u7801\u4ece\u4e00\u4e2a\u5047\u8bbe\u7684\u7f51\u7ad9\u6293\u53d6\u82f9\u679c\u516c\u53f8\u80a1\u7968\u7684\u4ef7\u683c\u4fe1\u606f\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u5b9a\u4e49\u7b5b\u9009\u6761\u4ef6<\/p>\n<\/p>\n
      \u5728\u83b7\u53d6\u5230\u80a1\u7968\u6570\u636e\u540e\uff0c\u63a5\u4e0b\u6765\u9700\u8981\u5b9a\u4e49\u7b5b\u9009\u6761\u4ef6\u3002\u8fd9\u662f\u80a1\u7968\u7b5b\u9009\u7684\u6838\u5fc3\u6b65\u9aa4\uff0c\u6761\u4ef6\u7684\u8bbe\u5b9a\u5c06\u76f4\u63a5\u5f71\u54cd\u7b5b\u9009\u7ed3\u679c\u3002\u7b5b\u9009\u6761\u4ef6\u7684\u8bbe\u5b9a\u53ef\u4ee5\u57fa\u4e8e\u6280\u672f\u5206\u6790\u3001\u57fa\u672c\u9762\u5206\u6790\u6216\u8005\u7ed3\u5408\u4e24\u8005\u3002<\/p>\n<\/p>\n
        \n
      1. \u57fa\u4e8e\u6280\u672f\u5206\u6790\u7684\u7b5b\u9009\u6761\u4ef6<\/li>\n<\/ol>\n
        \u6280\u672f\u5206\u6790\u662f\u901a\u8fc7\u7814\u7a76\u80a1\u7968\u7684\u5386\u53f2\u4ef7\u683c\u548c\u4ea4\u6613\u91cf\u6570\u636e\uff0c\u9884\u6d4b\u672a\u6765\u4ef7\u683c\u8d70\u52bf\u7684\u4e00\u79cd\u65b9\u6cd5\u3002\u5e38\u89c1\u7684\u6280\u672f\u5206\u6790\u6307\u6807\u5305\u62ec\u79fb\u52a8\u5e73\u5747\u7ebf\u3001\u76f8\u5bf9\u5f3a\u5f31\u6307\u6807\uff08RSI\uff09\u3001\u5e03\u6797\u5e26\u7b49\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u6765\u8ba1\u7b97\u8fd9\u4e9b\u6280\u672f\u6307\u6807\u3002<\/p>\n<\/p>\n
        \u4f8b\u5982\uff0c\u8ba1\u7b97\u80a1\u7968\u7684\u7b80\u5355\u79fb\u52a8\u5e73\u5747\u7ebf\uff08SMA\uff09\uff1a<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        \u8ba1\u7b9720\u65e5\u79fb\u52a8\u5e73\u5747\u7ebf<\/strong><\/h2>\n
        data['SMA_20'] = data['Close'].rolling(window=20).mean()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u53ef\u4ee5\u8bbe\u5b9a\u6761\u4ef6\u4e3a\uff1a\u6536\u76d8\u4ef7\u9ad8\u4e8e20\u65e5\u79fb\u52a8\u5e73\u5747\u7ebf\u5373\u4e3a\u4e70\u5165\u4fe1\u53f7\u3002<\/p>\n<\/p>\n
          \n
        1. \u57fa\u4e8e\u57fa\u672c\u9762\u5206\u6790\u7684\u7b5b\u9009\u6761\u4ef6<\/li>\n<\/ol>\n
          \u57fa\u672c\u9762\u5206\u6790\u662f\u901a\u8fc7\u7814\u7a76\u516c\u53f8\u7684\u8d22\u52a1\u62a5\u8868\u3001\u884c\u4e1a\u72b6\u51b5\u7b49\u57fa\u672c\u60c5\u51b5\uff0c\u8bc4\u4f30\u80a1\u7968\u7684\u5185\u5728\u4ef7\u503c\u3002\u5e38\u7528\u7684\u6307\u6807\u5305\u62ec\u5e02\u76c8\u7387\uff08P\/E\uff09\u3001\u5e02\u51c0\u7387\uff08P\/B\uff09\u3001\u80a1\u672c\u56de\u62a5\u7387\uff08ROE\uff09\u7b49\u3002<\/p>\n<\/p>\n
          \u5047\u8bbe\u6211\u4eec\u4ece\u67d0\u4e2aAPI\u83b7\u53d6\u5230\u4e86\u80a1\u7968\u7684\u57fa\u672c\u9762\u6570\u636e\uff0c\u7b5b\u9009\u6761\u4ef6\u53ef\u4ee5\u8bbe\u5b9a\u4e3a\uff1a\u5e02\u76c8\u7387\u5c0f\u4e8e15\u4e14\u80a1\u672c\u56de\u62a5\u7387\u5927\u4e8e15%\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528Python\u7f16\u5199\u7b5b\u9009\u903b\u8f91<\/p>\n<\/p>\n
          \u5728\u5b9a\u4e49\u597d\u7b5b\u9009\u6761\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7f16\u5199\u7b5b\u9009\u903b\u8f91\uff0c\u904d\u5386\u6240\u6709\u80a1\u7968\u6570\u636e\uff0c\u7b5b\u9009\u51fa\u7b26\u5408\u6761\u4ef6\u7684\u80a1\u7968\u3002\u7b5b\u9009\u903b\u8f91\u7684\u5b9e\u73b0\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u6570\u636e\u6846\u7684\u6bcf\u4e00\u884c\uff0c\u68c0\u67e5\u662f\u5426\u6ee1\u8db3\u6761\u4ef6\u3002<\/p>\n<\/p>\n
            \n
          1. \u904d\u5386\u6570\u636e\u6846\u7b5b\u9009\u80a1\u7968<\/li>\n<\/ol>\n
            \u5047\u8bbe\u6211\u4eec\u5df2\u7ecf\u83b7\u53d6\u4e86\u591a\u53ea\u80a1\u7968\u7684\u6570\u636e\uff0c\u5b58\u50a8\u5728\u4e00\u4e2a\u6570\u636e\u6846\u4e2d\u3002\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u6570\u636e\u6846\u7684\u6bcf\u4e00\u884c\uff0c\u68c0\u67e5\u6bcf\u53ea\u80a1\u7968\u662f\u5426\u6ee1\u8db3\u7b5b\u9009\u6761\u4ef6\uff1a<\/p>\n<\/p>\n
            # \u5047\u8bbedf\u4e3a\u5305\u542b\u591a\u53ea\u80a1\u7968\u6570\u636e\u7684\u6570\u636e\u6846<\/p>\n
            selected_stocks = []<\/p>\n
            for index, row in df.iterrows():<\/p>\n
                # \u68c0\u67e5\u662f\u5426\u6ee1\u8db3\u7b5b\u9009\u6761\u4ef6<\/p>\n
                if row['P\/E'] < 15 and row['ROE'] > 15:<\/p>\n
                    selected_stocks.append(row['Symbol'])<\/p>\n
            print("\u7b26\u5408\u6761\u4ef6\u7684\u80a1\u7968\uff1a", selected_stocks)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u4f7f\u7528\u5411\u91cf\u5316\u64cd\u4f5c\u63d0\u9ad8\u6548\u7387<\/li>\n<\/ol>\n
              \u904d\u5386\u6570\u636e\u6846\u7684\u6548\u7387\u8f83\u4f4e\uff0c\u5c24\u5176\u662f\u5f53\u6570\u636e\u91cf\u8f83\u5927\u65f6\u3002\u53ef\u4ee5\u4f7f\u7528pandas\u7684\u5411\u91cf\u5316\u64cd\u4f5c\u6765\u63d0\u9ad8\u7b5b\u9009\u6548\u7387\u3002\u4f8b\u5982\uff0c\u901a\u8fc7\u5e03\u5c14\u7d22\u5f15\u5b9e\u73b0\u7b5b\u9009\uff1a<\/p>\n<\/p>\n
              # \u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u7b5b\u9009<\/p>\n
              selected_stocks = df[(df['P\/E'] < 15) & (df['ROE'] > 15)]['Symbol'].tolist()<\/p>\n
              print("\u7b26\u5408\u6761\u4ef6\u7684\u80a1\u7968\uff1a", selected_stocks)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u56db\u3001\u53ef\u89c6\u5316\u5206\u6790\u7ed3\u679c<\/p>\n<\/p>\n
              \u5728\u7b5b\u9009\u51fa\u7b26\u5408\u6761\u4ef6\u7684\u80a1\u7968\u540e\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5bf9\u7ed3\u679c\u8fdb\u884c\u53ef\u89c6\u5316\u5206\u6790\u3002\u8fd9\u6709\u52a9\u4e8e\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u7b5b\u9009\u7ed3\u679c\uff0c\u5e76\u505a\u51fa\u66f4\u4e3a\u7406\u6027\u7684\u6295\u8d44\u51b3\u7b56\u3002<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528Matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/li>\n<\/ol>\n
                Python\u4e2d\u7684Matplotlib\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u7ed8\u5236\u5404\u79cd\u56fe\u8868\u3002\u5728\u80a1\u7968\u7b5b\u9009\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7ed8\u5236\u80a1\u4ef7\u8d70\u52bf\u56fe\u3001\u6280\u672f\u6307\u6807\u56fe\u7b49\u3002<\/p>\n<\/p>\n
                \u4f8b\u5982\uff0c\u7ed8\u5236\u67d0\u53ea\u80a1\u7968\u7684\u6536\u76d8\u4ef7\u548c20\u65e5\u79fb\u52a8\u5e73\u5747\u7ebf\uff1a<\/p>\n<\/p>\n
                import matplotlib.pyplot as plt<\/p>\n
                plt.figure(figsize=(12, 6))<\/p>\n
                plt.plot(data['Close'], label='Close Price')<\/p>\n
                plt.plot(data['SMA_20'], label='20 Day SMA', linestyle='--')<\/p>\n
                plt.title('Stock Price and 20 Day SMA')<\/p>\n
                plt.xlabel('Date')<\/p>\n
                plt.ylabel('Price')<\/p>\n
                plt.legend()<\/p>\n
                plt.show()<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u4f7f\u7528Seaborn\u8fdb\u884c\u9ad8\u7ea7\u53ef\u89c6\u5316<\/li>\n<\/ol>\n
                  Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u4e00\u4e2a\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7f8e\u89c2\u7684\u56fe\u8868\u6837\u5f0f\u548c\u66f4\u4e3a\u7b80\u4fbf\u7684\u7ed8\u56fe\u63a5\u53e3\u3002\u5728\u80a1\u7968\u7b5b\u9009\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Seaborn\u7ed8\u5236\u5206\u5e03\u56fe\u3001\u70ed\u529b\u56fe\u7b49\u3002<\/p>\n<\/p>\n
                  \u4f8b\u5982\uff0c\u7ed8\u5236\u80a1\u7968\u7b5b\u9009\u7ed3\u679c\u7684\u5e02\u76c8\u7387\u5206\u5e03\u56fe\uff1a<\/p>\n<\/p>\n
                  import seaborn as sns<\/p>\n
                  sns.histplot(df['P\/E'], bins=20, kde=True)<\/p>\n
                  plt.title('P\/E Ratio Distribution')<\/p>\n
                  plt.xlabel('P\/E Ratio')<\/p>\n
                  plt.ylabel('Frequency')<\/p>\n
                  plt.show()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u53ef\u4ee5\u5229\u7528Python\u5b9e\u73b0\u80a1\u7968\u7684\u9ad8\u6548\u7b5b\u9009\u3002\u6839\u636e\u4e2a\u4eba\u7684\u6295\u8d44\u7b56\u7565\u548c\u5e02\u573a\u5206\u6790\u80fd\u529b\uff0c\u7075\u6d3b\u5730\u8bbe\u5b9a\u7b5b\u9009\u6761\u4ef6\uff0c\u5e76\u7ed3\u5408\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u5e02\u573a\u52a8\u6001\uff0c\u505a\u51fa\u660e\u667a\u7684\u6295\u8d44\u51b3\u7b56\u3002<\/p>\n<\/p>\n
                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                   \u5982\u4f55\u5f00\u59cb\u4f7f\u7528Python\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\uff1f<\/strong>
                  \u8981\u4f7f\u7528Python\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u4e00\u4e9b\u76f8\u5173\u7684\u5e93\uff0c\u6bd4\u5982Pandas\u3001NumPy\u548cMatplotlib\u3002\u8fd9\u4e9b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5904\u7406\u6570\u636e\u3001\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97\u4ee5\u53ca\u53ef\u89c6\u5316\u7ed3\u679c\u3002\u63a5\u7740\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e9bAPI\uff08\u5982Yahoo Finance\u3001Alpha Vantage\u7b49\uff09\u83b7\u53d6\u80a1\u7968\u6570\u636e\u3002\u6700\u540e\uff0c\u901a\u8fc7\u7f16\u5199\u6761\u4ef6\u7b5b\u9009\u4ee3\u7801\uff0c\u7b5b\u9009\u51fa\u7b26\u5408\u7279\u5b9a\u6807\u51c6\u7684\u80a1\u7968\uff0c\u4f8b\u5982\u5e02\u76c8\u7387\u3001\u80a1\u606f\u7387\u7b49\u3002<\/p>\n
                  Python\u80a1\u7968\u7b5b\u9009\u7684\u5e38\u7528\u7b56\u7565\u6709\u54ea\u4e9b\uff1f<\/strong>
                  \u5728\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u591a\u79cd\u7b56\u7565\u3002\u4f8b\u5982\uff0c\u4ef7\u503c\u6295\u8d44\u7b56\u7565\u901a\u5e38\u5173\u6ce8\u4f4e\u5e02\u76c8\u7387\u548c\u9ad8\u80a1\u606f\u6536\u76ca\u7387\u7684\u80a1\u7968\uff1b\u800c\u6210\u957f\u6295\u8d44\u7b56\u7565\u5219\u53ef\u80fd\u5173\u6ce8\u6536\u5165\u548c\u76c8\u5229\u6301\u7eed\u589e\u957f\u7684\u516c\u53f8\u3002\u52a8\u91cf\u7b56\u7565\u5219\u7740\u773c\u4e8e\u90a3\u4e9b\u4ef7\u683c\u6301\u7eed\u4e0a\u6da8\u7684\u80a1\u7968\u3002\u6839\u636e\u4e2a\u4eba\u7684\u6295\u8d44\u76ee\u6807\u548c\u98ce\u9669\u627f\u53d7\u80fd\u529b\uff0c\u9009\u62e9\u5408\u9002\u7684\u7b56\u7565\u81f3\u5173\u91cd\u8981\u3002<\/p>\n
                  \u5982\u4f55\u63d0\u9ad8Python\u80a1\u7968\u7b5b\u9009\u7684\u6548\u7387\uff1f<\/strong>
                  \u63d0\u9ad8\u80a1\u7968\u7b5b\u9009\u6548\u7387\u7684\u65b9\u6cd5\u5305\u62ec\u4f18\u5316\u6570\u636e\u5904\u7406\u6d41\u7a0b\u548c\u4f7f\u7528\u9ad8\u6548\u7684\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u7684\u5411\u91cf\u5316\u64cd\u4f5c\u6765\u52a0\u901f\u6570\u636e\u5904\u7406\uff0c\u6216\u8005\u4f7f\u7528\u6570\u636e\u6846\u67b6\uff08\u5982Dask\uff09\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002\u6b64\u5916\uff0c\u5408\u7406\u8bbe\u5b9a\u7b5b\u9009\u6761\u4ef6\uff0c\u907f\u514d\u8fc7\u4e8e\u590d\u6742\u7684\u903b\u8f91\u5224\u65ad\uff0c\u4e5f\u80fd\u663e\u8457\u63d0\u9ad8\u7b5b\u9009\u901f\u5ea6\u3002\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u5f02\u6b65\u7f16\u7a0b\u4e5f\u662f\u4e00\u79cd\u4f18\u5316\u65b9\u6cd5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5229\u7528Python\u8fdb\u884c\u80a1\u7968\u7b5b\u9009\u662f\u4e00\u79cd\u6709\u6548\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u7f16\u5199\u811a\u672c\u53ef\u4ee5\u81ea\u52a8\u5316\u5730\u4ece\u5927\u91cf\u80a1\u7968\u6570\u636e\u4e2d\u7b5b\u9009\u51fa\u7b26\u5408\u7279\u5b9a\u6761\u4ef6\u7684\u80a1\u7968 […]","protected":false},"author":3,"featured_media":1018844,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1018821"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1018821"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1018821\/revisions"}],"predecessor-version":[{"id":1018845,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1018821\/revisions\/1018845"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1018844"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1018821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1018821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1018821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}