{"id":944294,"date":"2024-12-26T23:03:20","date_gmt":"2024-12-26T15:03:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/944294.html"},"modified":"2024-12-26T23:03:23","modified_gmt":"2024-12-26T15:03:23","slug":"python-%e5%a6%82%e4%bd%95%e8%ae%a1%e7%ae%97%e6%af%94%e4%be%8b","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/944294.html","title":{"rendered":"python \u5982\u4f55\u8ba1\u7b97\u6bd4\u4f8b"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u4e2d\u8ba1\u7b97\u6bd4\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u5b9e\u73b0\u3001\u4f7f\u7528\u5e93\u51fd\u6570\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3001\u901a\u8fc7\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5904\u7406\u590d\u6742\u7684\u6bd4\u4f8b\u8ba1\u7b97\u3002<\/strong>\u5728\u8fd9\u4e09\u4e2a\u65b9\u6cd5\u4e2d\uff0c\u6700\u57fa\u672c\u4e14\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u76f4\u63a5\u4f7f\u7528\u6570\u5b66\u8fd0\u7b97\u7b26\u6765\u8ba1\u7b97\u6bd4\u4f8b\u3002\u63a5\u4e0b\u6765\uff0c\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u8fd9\u51e0\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u57fa\u7840\u6570\u5b66\u8fd0\u7b97\u5b9e\u73b0\u6bd4\u4f8b\u8ba1\u7b97<\/p>\n<\/p>\n

Python\u662f\u4e00\u79cd\u975e\u5e38\u9002\u5408\u8fdb\u884c\u6570\u5b66\u8fd0\u7b97\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u56e0\u4e3a\u5176\u8bed\u6cd5\u7b80\u5355\u4e14\u76f4\u89c2\u3002\u8ba1\u7b97\u6bd4\u4f8b\u7684\u57fa\u672c\u65b9\u5f0f\u662f\u901a\u8fc7\u9664\u6cd5\u8fd0\u7b97\uff0c\u5c06\u4e00\u4e2a\u503c\u9664\u4ee5\u53e6\u4e00\u4e2a\u503c\uff0c\u5f97\u5230\u6bd4\u4f8b\u3002\u4f8b\u5982\uff0c\u8981\u8ba1\u7b97A\u5728A+B\u4e2d\u7684\u6bd4\u4f8b\uff0c\u53ef\u4ee5\u7528\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n

A = 30<\/p>\n
B = 70<\/p>\n
proportion = A \/ (A + B)<\/p>\n
print(proportion)  # \u8f93\u51fa\uff1a0.3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5c06A\u7684\u503c\u9664\u4ee5A\u548cB\u7684\u603b\u548c\uff0c\u5f97\u5230A\u6240\u5360\u7684\u6bd4\u4f8b\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u4e14\u76f4\u63a5\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u57fa\u672c\u7684\u6bd4\u4f8b\u8ba1\u7b97\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5e93\u51fd\u6570\u8fdb\u884c\u7edf\u8ba1\u5206\u6790<\/p>\n<\/p>\n
\u5f53\u9700\u8981\u8fdb\u884c\u66f4\u590d\u6742\u7684\u6bd4\u4f8b\u8ba1\u7b97\u6216\u8005\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0cPython\u7684\u5e93\u51fd\u6570\u53ef\u4ee5\u5927\u5927\u7b80\u5316\u5de5\u4f5c\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecNumPy\u548cPandas\uff0c\u5b83\u4eec\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002<\/p>\n<\/p>\n
    \n
  1. \u4f7f\u7528NumPy\u8ba1\u7b97\u6bd4\u4f8b<\/li>\n<\/ol>\n
    NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528NumPy\u8ba1\u7b97\u6bd4\u4f8b\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
    import numpy as np<\/p>\n
    data = np.array([30, 70, 100])<\/p>\n
    proportions = data \/ np.sum(data)<\/p>\n
    print(proportions)  # \u8f93\u51fa\uff1a[0.15 0.35 0.5]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u6570\u636e\u5b58\u50a8\u5728\u4e00\u4e2aNumPy\u6570\u7ec4\u4e2d\uff0c\u7136\u540e\u901a\u8fc7\u9664\u4ee5\u6570\u7ec4\u7684\u603b\u548c\u6765\u8ba1\u7b97\u6bcf\u4e2a\u5143\u7d20\u7684\u6bd4\u4f8b\u3002<\/p>\n<\/p>\n
      \n
    1. \u4f7f\u7528Pandas\u8ba1\u7b97\u6bd4\u4f8b<\/li>\n<\/ol>\n
      Pandas\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u5c24\u5176\u9002\u5408\u5904\u7406\u5e26\u6709\u6807\u7b7e\u7684\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pandas\u8ba1\u7b97\u6bd4\u4f8b\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      data = pd.Series([30, 70, 100], index=['A', 'B', 'C'])<\/p>\n
      proportions = data \/ data.sum()<\/p>\n
      print(proportions)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      Pandas\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5904\u7406\u6570\u636e\u8868\u683c\u7684\u80fd\u529b\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u96c6\u65f6\u8868\u73b0\u7a81\u51fa\u3002<\/p>\n<\/p>\n
      \u4e09\u3001\u81ea\u5b9a\u4e49\u51fd\u6570\u5904\u7406\u590d\u6742\u6bd4\u4f8b\u8ba1\u7b97<\/p>\n<\/p>\n
      \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u6839\u636e\u7279\u5b9a\u7684\u4e1a\u52a1\u903b\u8f91\u8ba1\u7b97\u6bd4\u4f8b\uff0c\u8fd9\u65f6\u53ef\u4ee5\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u81ea\u5b9a\u4e49\u51fd\u6570\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
      def calculate_proportion(part, total):<\/p>\n
          if total == 0:<\/p>\n
              return 0<\/p>\n
          return part \/ total<\/p>\n
      A = 30<\/p>\n
      B = 70<\/p>\n
      proportion_A = calculate_proportion(A, A + B)<\/p>\n
      print(proportion_A)  # \u8f93\u51fa\uff1a0.3<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u7684\u597d\u5904\u662f\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u8f7b\u677e\u8c03\u6574\u8ba1\u7b97\u903b\u8f91\uff0c\u4f8b\u5982\u5904\u7406\u96f6\u9664\u3001\u820d\u5165\u7ed3\u679c\u7b49\u3002<\/p>\n<\/p>\n
      \u56db\u3001\u5904\u7406\u6bd4\u4f8b\u8ba1\u7b97\u4e2d\u7684\u7279\u6b8a\u60c5\u51b5<\/p>\n<\/p>\n
      \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6bd4\u4f8b\u8ba1\u7b97\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u7279\u6b8a\u60c5\u51b5\uff0c\u5982\u96f6\u9664\u3001\u6570\u636e\u7f3a\u5931\u7b49\u3002\u4ee5\u4e0b\u5c06\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\u3002<\/p>\n<\/p>\n
        \n
      1. \u5904\u7406\u96f6\u9664\u95ee\u9898<\/li>\n<\/ol>\n
        \u5728\u6bd4\u4f8b\u8ba1\u7b97\u4e2d\uff0c\u96f6\u9664\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u95ee\u9898\u3002\u53ef\u4ee5\u901a\u8fc7\u5728\u8ba1\u7b97\u524d\u68c0\u67e5\u5206\u6bcd\u662f\u5426\u4e3a\u96f6\u6765\u907f\u514d\u8fd9\u79cd\u60c5\u51b5\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        def SAFe<\/a>_divide(numerator, denominator):<\/p>\n
            if denominator == 0:<\/p>\n
                return 0  # \u6216\u8005\u8fd4\u56de\u5176\u4ed6\u5408\u9002\u7684\u9ed8\u8ba4\u503c<\/p>\n
            return numerator \/ denominator<\/p>\n
        result = safe_divide(10, 0)<\/p>\n
        print(result)  # \u8f93\u51fa\uff1a0<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u5904\u7406\u6570\u636e\u7f3a\u5931<\/li>\n<\/ol>\n
          \u5728\u5927\u6570\u636e\u5904\u7406\u4e2d\uff0c\u6570\u636e\u7f3a\u5931\u662f\u53e6\u4e00\u4e2a\u5e38\u89c1\u95ee\u9898\u3002\u53ef\u4ee5\u4f7f\u7528NumPy\u6216Pandas\u63d0\u4f9b\u7684\u51fd\u6570\u6765\u5904\u7406\u7f3a\u5931\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          import numpy as np<\/p>\n
          import pandas as pd<\/p>\n
          data = pd.Series([30, np.nan, 70, 100])<\/p>\n
          data.fillna(0, inplace=True)  # \u75280\u586b\u5145\u7f3a\u5931\u503c<\/p>\n
          proportions = data \/ data.sum()<\/p>\n
          print(proportions)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u901a\u8fc7\u4f7f\u7528fillna<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u586b\u5145\u7f3a\u5931\u503c\uff0c\u4ece\u800c\u907f\u514d\u8ba1\u7b97\u9519\u8bef\u3002<\/p>\n<\/p>\n
          \u4e94\u3001\u5e94\u7528\u573a\u666f\u4e2d\u7684\u6bd4\u4f8b\u8ba1\u7b97<\/p>\n<\/p>\n
          \u4e86\u89e3\u5982\u4f55\u5728\u4e0d\u540c\u5e94\u7528\u573a\u666f\u4e2d\u4f7f\u7528\u6bd4\u4f8b\u8ba1\u7b97\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u8fd9\u4e00\u6982\u5ff5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
            \n
          1. \u5e02\u573a\u4efd\u989d\u8ba1\u7b97<\/li>\n<\/ol>\n
            \u5728\u5546\u4e1a\u5206\u6790\u4e2d\uff0c\u5e02\u573a\u4efd\u989d\u662f\u4e00\u4e2a\u5e38\u7528\u6307\u6807\u3002\u53ef\u4ee5\u4f7f\u7528\u6bd4\u4f8b\u8ba1\u7b97\u6765\u786e\u5b9a\u67d0\u4e2a\u4ea7\u54c1\u5728\u5e02\u573a\u4e2d\u7684\u5360\u6bd4\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
            total_market = 1000<\/p>\n
            product_sales = 200<\/p>\n
            market_share = product_sales \/ total_market<\/p>\n
            print(f"Market Share: {market_share * 100}%")  # \u8f93\u51fa\uff1a20.0%<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u6570\u636e\u53ef\u89c6\u5316\u4e2d\u7684\u6bd4\u4f8b<\/li>\n<\/ol>\n
              \u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u6bd4\u4f8b\u7528\u4e8e\u751f\u6210\u997c\u56fe\u3001\u6761\u5f62\u56fe\u7b49\u3002\u901a\u8fc7\u6bd4\u4f8b\u8ba1\u7b97\uff0c\u53ef\u4ee5\u786e\u5b9a\u6bcf\u4e2a\u7c7b\u522b\u5728\u56fe\u4e2d\u7684\u5360\u6bd4\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Matplotlib\u7ed8\u5236\u997c\u56fe\uff1a<\/p>\n<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              sizes = [15, 30, 45, 10]<\/p>\n
              labels = ['A', 'B', 'C', 'D']<\/p>\n
              plt.pie(sizes, labels=labels, autopct='%1.1f%%')<\/p>\n
              plt.axis('equal')  # \u4fdd\u8bc1\u997c\u56fe\u662f\u4e00\u4e2a\u6b63\u5706<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cautopct<\/code>\u53c2\u6570\u7528\u4e8e\u663e\u793a\u6bcf\u4e2a\u90e8\u5206\u7684\u6bd4\u4f8b\u3002<\/p>\n<\/p>\n
              \u516d\u3001\u63d0\u9ad8\u6bd4\u4f8b\u8ba1\u7b97\u7cbe\u5ea6\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
              \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u63d0\u9ad8\u6bd4\u4f8b\u8ba1\u7b97\u7684\u7cbe\u5ea6\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u5c24\u5176\u662f\u5728\u91d1\u878d\u3001\u79d1\u5b66\u8ba1\u7b97\u7b49\u9886\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63d0\u9ad8\u8ba1\u7b97\u7cbe\u5ea6\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528Python\u7684Decimal\u6a21\u5757<\/li>\n<\/ol>\n
                Python\u7684\u5185\u7f6e\u6d6e\u70b9\u8fd0\u7b97\u53ef\u80fd\u4f1a\u5bfc\u81f4\u7cbe\u5ea6\u635f\u5931\uff0c\u53ef\u4ee5\u4f7f\u7528Decimal\u6a21\u5757\u6765\u63d0\u9ad8\u7cbe\u5ea6\uff1a<\/p>\n<\/p>\n
                from decimal import Decimal<\/p>\n
                A = Decimal('30.00')<\/p>\n
                B = Decimal('70.00')<\/p>\n
                proportion = A \/ (A + B)<\/p>\n
                print(proportion)  # \u8f93\u51fa\uff1a0.3<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u63a7\u5236\u6d6e\u70b9\u6570\u7684\u663e\u793a\u7cbe\u5ea6<\/li>\n<\/ol>\n
                  \u53ef\u4ee5\u901a\u8fc7\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u6765\u63a7\u5236\u6d6e\u70b9\u6570\u7684\u663e\u793a\u7cbe\u5ea6\uff1a<\/p>\n<\/p>\n
                  proportion = 0.3333333333333333<\/p>\n
                  print(f"{proportion:.2f}")  # \u8f93\u51fa\uff1a0.33<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u62a5\u544a\u4e2d\uff0c\u786e\u4fdd\u7ed3\u679c\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
                  \u4e03\u3001\u603b\u7ed3\u4e0e\u6700\u4f73\u5b9e\u8df5<\/p>\n<\/p>\n
                  \u5728Python\u4e2d\u8ba1\u7b97\u6bd4\u4f8b\u662f\u4e00\u9879\u57fa\u672c\u4e14\u91cd\u8981\u7684\u64cd\u4f5c\uff0c\u6db5\u76d6\u4e86\u4ece\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u5230\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u603b\u7ed3\u548c\u6700\u4f73\u5b9e\u8df5\uff1a<\/p>\n<\/p>\n
                    \n
                  • \u9009\u62e9\u9002\u5408\u7684\u5de5\u5177<\/strong>\uff1a\u6839\u636e\u4efb\u52a1\u7684\u590d\u6742\u6027\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u5e93\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u8ba1\u7b97\uff0c\u4f7f\u7528\u57fa\u7840\u7684\u6570\u5b66\u8fd0\u7b97\u5373\u53ef\uff1b\u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u5206\u6790\uff0c\u8003\u8651\u4f7f\u7528NumPy\u6216Pandas\u3002<\/li>\n
                  • \u5904\u7406\u7279\u6b8a\u60c5\u51b5<\/strong>\uff1a\u5728\u8ba1\u7b97\u524d\u68c0\u67e5\u5206\u6bcd\u662f\u5426\u4e3a\u96f6\uff0c\u5e76\u5904\u7406\u7f3a\u5931\u6570\u636e\uff0c\u4ee5\u907f\u514d\u8ba1\u7b97\u9519\u8bef\u3002<\/li>\n
                  • \u786e\u4fdd\u7ed3\u679c\u7684\u7cbe\u5ea6\u548c\u53ef\u8bfb\u6027<\/strong>\uff1a\u5728\u9700\u8981\u9ad8\u7cbe\u5ea6\u7684\u573a\u5408\uff0c\u4f7f\u7528Decimal\u6a21\u5757\uff0c\u5e76\u901a\u8fc7\u683c\u5f0f\u5316\u63a7\u5236\u7ed3\u679c\u7684\u663e\u793a\u7cbe\u5ea6\u3002<\/li>\n
                  • \u81ea\u5b9a\u4e49\u51fd\u6570\u4fbf\u4e8e\u590d\u7528<\/strong>\uff1a\u5728\u9700\u8981\u91cd\u590d\u4f7f\u7528\u7684\u573a\u5408\uff0c\u5b9a\u4e49\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5c01\u88c5\u6bd4\u4f8b\u8ba1\u7b97\u903b\u8f91\uff0c\u4f7f\u4ee3\u7801\u66f4\u7b80\u6d01\u548c\u53ef\u7ef4\u62a4\u3002<\/li>\n<\/ul>\n
                    \u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u5404\u79cd\u5e94\u7528\u573a\u666f\u4e2d\u9ad8\u6548\u5730\u8fdb\u884c\u6bd4\u4f8b\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                     \u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u4e24\u4e2a\u6570\u7684\u6bd4\u4f8b\uff1f<\/strong>
                    \u5728Python\u4e2d\uff0c\u8ba1\u7b97\u4e24\u4e2a\u6570\u7684\u6bd4\u4f8b\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u9664\u6cd5\u5b9e\u73b0\u3002\u5047\u8bbe\u6709\u4e24\u4e2a\u6570a\u548cb\uff0c\u6bd4\u4f8b\u53ef\u4ee5\u901a\u8fc7\u8868\u8fbe\u5f0fa \/ b<\/code>\u5f97\u5230\u3002\u5982\u679c\u9700\u8981\u5c06\u7ed3\u679c\u683c\u5f0f\u5316\u4e3a\u767e\u5206\u6bd4\uff0c\u53ef\u4ee5\u5c06\u8fd9\u4e2a\u503c\u4e58\u4ee5100\u5e76\u6dfb\u52a0\u201c%\u201d\u7b26\u53f7\u3002\u4f8b\u5982\uff1a<\/p>\n
                    a = 25\nb = 100\nratio = (a \/ b) * 100\nprint(f"\u6bd4\u4f8b\u4e3a: {ratio}%")\n<\/code><\/pre>\n
                    \u8fd9\u6837\u53ef\u4ee5\u5f97\u5230a\u4e0eb\u7684\u6bd4\u4f8b\u3002<\/p>\n
                    \u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u6bd4\u4f8b\u8ba1\u7b97\u4e2d\u7684\u96f6\u503c\uff1f<\/strong>
                    \u5f53\u8ba1\u7b97\u6bd4\u4f8b\u65f6\uff0c\u5982\u679c\u5206\u6bcd\u4e3a\u96f6\uff0c\u5219\u4f1a\u5bfc\u81f4\u9519\u8bef\u3002\u4e3a\u4e86\u907f\u514d\u8fd9\u79cd\u60c5\u51b5\uff0c\u5efa\u8bae\u5728\u8ba1\u7b97\u524d\u8fdb\u884c\u68c0\u67e5\u3002\u4f8b\u5982\uff1a<\/p>\n
                    a = 25\nb = 0  # \u53ef\u80fd\u4f1a\u5bfc\u81f4\u9519\u8bef\nif b != 0:\n    ratio = (a \/ b) * 100\n    print(f"\u6bd4\u4f8b\u4e3a: {ratio}%")\nelse:\n    print("\u5206\u6bcd\u4e0d\u80fd\u4e3a\u96f6\uff0c\u65e0\u6cd5\u8ba1\u7b97\u6bd4\u4f8b\u3002")\n<\/code><\/pre>\n
                    \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5b89\u5168\u5730\u5904\u7406\u53ef\u80fd\u51fa\u73b0\u7684\u96f6\u503c\u3002<\/p>\n
                    \u5982\u4f55\u4f7f\u7528Python\u4e2d\u7684\u5e93\u6765\u8ba1\u7b97\u6bd4\u4f8b\uff1f<\/strong>
                    \u9664\u4e86\u57fa\u672c\u7684\u6570\u5b66\u8fd0\u7b97\uff0cPython\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5e93\uff0c\u6bd4\u5982NumPy\uff0c\u80fd\u591f\u5e2e\u52a9\u8fdb\u884c\u66f4\u590d\u6742\u7684\u6bd4\u4f8b\u8ba1\u7b97\u3002\u4f7f\u7528NumPy\u7684np.divide()<\/code>\u51fd\u6570\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u6570\u7ec4\u4e2d\u7684\u6bd4\u4f8b\u8ba1\u7b97\u3002\u4f8b\u5982\uff1a<\/p>\n
                    import numpy as np\n\na = np.array([25, 50, 75])\nb = np.array([100, 200, 300])\nratios = np.divide(a, b) * 100\nprint(f"\u6bd4\u4f8b\u4e3a: {ratios}%")\n<\/code><\/pre>\n
                    \u8fd9\u6837\u53ef\u4ee5\u5feb\u901f\u8ba1\u7b97\u591a\u4e2a\u6570\u7684\u6bd4\u4f8b\uff0c\u9002\u5408\u5904\u7406\u5927\u91cf\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8ba1\u7b97\u6bd4\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u5b9e\u73b0\u3001\u4f7f\u7528\u5e93\u51fd\u6570\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3001\u901a\u8fc7\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5904\u7406\u590d\u6742\u7684\u6bd4\u4f8b\u8ba1 […]","protected":false},"author":3,"featured_media":944297,"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\/944294"}],"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=944294"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944294\/revisions"}],"predecessor-version":[{"id":944298,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944294\/revisions\/944298"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/944297"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=944294"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=944294"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=944294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}