{"id":982469,"date":"2024-12-27T07:11:07","date_gmt":"2024-12-26T23:11:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/982469.html"},"modified":"2024-12-27T07:11:09","modified_gmt":"2024-12-26T23:11:09","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%ae%a1%e7%ae%97%e6%8c%87%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/982469.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8ba1\u7b97\u6307\u6570"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u8ba1\u7b97\u6307\u6570\"<\/p>\n

\u5728Python\u4e2d\u8ba1\u7b97\u6307\u6570\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u5e42\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528math\u5e93\u7684exp\u51fd\u6570\u4ee5\u53ca\u4f7f\u7528NumPy\u5e93\u7684\u76f8\u5173\u51fd\u6570\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u5e42\u8fd0\u7b97\u7b26\u7b80\u5355\u6613\u7528\u3001math\u5e93\u7684exp\u51fd\u6570\u9002\u5408\u5904\u7406\u6570\u5b66\u8ba1\u7b97\u3001NumPy\u5e93\u5219\u9002\u7528\u4e8e\u5927\u91cf\u6570\u636e\u7684\u79d1\u5b66\u8ba1\u7b97<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\u2014\u2014\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\uff08\uff09\u6765\u8ba1\u7b97\u6307\u6570\u3002<\/p>\n<\/p>\n

Python\u4e2d\u7684\u5e42\u8fd0\u7b97\u7b26\uff08\uff09\u662f\u6700\u76f4\u63a5\u7684\u8ba1\u7b97\u6307\u6570\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u8fd9\u4e2a\u8fd0\u7b97\u7b26\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u4efb\u610f\u6b21\u5e42\u3002\u6bd4\u5982\uff0c\u8981\u8ba1\u7b972\u76843\u6b21\u65b9\uff0c\u6211\u4eec\u53ef\u4ee5\u7b80\u5355\u5730\u7f16\u5199\u4ee3\u7801\uff1aresult = 2 <\/strong> 3<\/code>\uff0c\u8fd9\u4e2a\u8868\u8fbe\u5f0f\u5c06\u8fd4\u56de\u7ed3\u679c8\u3002\u5e42\u8fd0\u7b97\u7b26\u7684\u4f18\u70b9\u5728\u4e8e\u5176\u6613\u8bfb\u6027\u548c\u76f4\u89c2\u6027\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u6307\u6570\u8fd0\u7b97\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecdPython\u4e2d\u5176\u4ed6\u8ba1\u7b97\u6307\u6570\u7684\u65b9\u6cd5\uff0c\u5e76\u8ba8\u8bba\u5728\u4e0d\u540c\u60c5\u51b5\u4e0b\u7684\u9002\u7528\u6027\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\uff08\uff09<\/p>\n<\/p>\n

\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\uff08\uff09\u662fPython\u4e2d\u8ba1\u7b97\u6307\u6570\u7684\u6700\u57fa\u672c\u65b9\u5f0f\u3002\u5b83\u4e0d\u4ec5\u7b80\u5355\u660e\u4e86\uff0c\u800c\u4e14\u9002\u7528\u4e8e\u5927\u591a\u6570\u65e5\u5e38\u8ba1\u7b97\u9700\u6c42\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n

    \u5e42\u8fd0\u7b97\u7b26\uff08\uff09\u7528\u4e8e\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e42\u3002\u4f8b\u5982\uff0ca <\/strong> b<\/code>\u4f1a\u8fd4\u56dea\u7684b\u6b21\u5e42\u3002\u5728Python\u4e2d\uff0c\u8fd9\u79cd\u8868\u8fbe\u65b9\u5f0f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u3002\u4f8b\u5982\uff0c\u8ba1\u7b975\u76844\u6b21\u65b9\u53ef\u4ee5\u5199\u4f5c\uff1a<\/p>\n<\/p>\n

    result = 5  4<\/p>\n
    print(result)  # \u8f93\u51fa\uff1a625<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u6307\u6570\u8ba1\u7b97\uff0c\u5c24\u5176\u662f\u5728\u5199\u811a\u672c\u6216\u6267\u884c\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u65f6\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u5904\u7406\u8d1f\u6307\u6570<\/strong><\/p>\n<\/p>\n
    \u5e42\u8fd0\u7b97\u7b26\u540c\u6837\u652f\u6301\u8d1f\u6307\u6570\u3002\u8d1f\u6307\u6570\u7684\u8fd0\u7b97\u7ed3\u679c\u662f\u5176\u5012\u6570\u3002\u4f8b\u5982\uff0c2 <strong> -3<\/code>\u76f8\u5f53\u4e8e1 \/ (2 <\/strong> 3)<\/code>\uff0c\u7ed3\u679c\u4e3a0.125\uff1a<\/p>\n<\/p>\n
    result = 2  -3<\/p>\n
    print(result)  # \u8f93\u51fa\uff1a0.125<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u7279\u6027\u5bf9\u4e8e\u8ba1\u7b97\u5c0f\u6570\u5e42\u975e\u5e38\u5b9e\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u8ba1\u7b97\u6d6e\u70b9\u6570\u6307\u6570<\/strong><\/p>\n<\/p>\n
    \u5e42\u8fd0\u7b97\u7b26\u8fd8\u53ef\u4ee5\u5904\u7406\u6d6e\u70b9\u6570\u6307\u6570\u3002\u4f8b\u5982\uff0c\u8ba1\u7b972\u76842.5\u6b21\u65b9\uff1a<\/p>\n<\/p>\n
    result = 2  2.5<\/p>\n
    print(result)  # \u8f93\u51fa\uff1a5.656854249492381<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    Python\u7684\u52a8\u6001\u7c7b\u578b\u7279\u6027\u4f7f\u5176\u80fd\u591f\u7075\u6d3b\u5904\u7406\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u6df7\u5408\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u4f7f\u7528math\u5e93\u7684exp\u51fd\u6570<\/p>\n<\/p>\n
    Python\u7684math\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u5f3a\u5927\u7684\u6570\u5b66\u51fd\u6570\uff0c\u5176\u4e2dexp\u51fd\u6570\u7528\u4e8e\u8ba1\u7b97e\u7684\u6307\u6570\uff0c\u9002\u5408\u5904\u7406\u81ea\u7136\u6307\u6570\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
      math.exp(x)\u7528\u4e8e\u8ba1\u7b97e\u7684x\u6b21\u5e42\uff0c\u5176\u4e2de\u662f\u81ea\u7136\u5bf9\u6570\u7684\u5e95\uff0c\u5927\u7ea6\u4e3a2.71828\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
      import math<\/p>\n
      result = math.exp(2)<\/p>\n
      print(result)  # \u8f93\u51fa\uff1a7.38905609893065<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u5408\u5904\u7406\u9700\u8981\u81ea\u7136\u6307\u6570\u8ba1\u7b97\u7684\u6570\u5b66\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u5e94\u7528\u573a\u666f<\/strong><\/p>\n<\/p>\n
      math.exp\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u7edf\u8ba1\u5b66\u548c\u91d1\u878d\u5206\u6790\u4e2d\u6709\u5e7f\u6cdb\u5e94\u7528\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u590d\u5229\u3001\u6982\u7387\u548c\u6b63\u6001\u5206\u5e03\u65f6\u7ecf\u5e38\u9700\u8981\u4f7f\u7528exp\u51fd\u6570\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97<\/p>\n<\/p>\n
      NumPy\u662fPython\u4e2d\u5904\u7406\u5927\u578b\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u5b66\u51fd\u6570\uff0c\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
        NumPy\u7684numpy.exp()<\/code>\u51fd\u6570\u7528\u4e8e\u8ba1\u7b97\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u6570\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        arr = np.array([1, 2, 3])<\/p>\n
        result = np.exp(arr)<\/p>\n
        print(result)  # \u8f93\u51fa\uff1a[ 2.71828183  7.3890561  20.08553692]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u6307\u6570\u8ba1\u7b97\uff0c\u7279\u522b\u662f\u5728\u8fdb\u884c\u6279\u91cf\u6570\u636e\u5904\u7406\u65f6\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u6027\u80fd\u4f18\u52bf<\/strong><\/p>\n<\/p>\n
        \u76f8\u6bd4\u4e8ePython\u5185\u7f6e\u51fd\u6570\uff0cNumPy\u7684\u8ba1\u7b97\u901f\u5ea6\u66f4\u5feb\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u8fd0\u7b97\u3002\u5b83\u7684\u5e95\u5c42\u5b9e\u73b0\u5229\u7528\u4e86C\u8bed\u8a00\u7684\u9ad8\u6548\u8ba1\u7b97\u80fd\u529b\uff0c\u4f7f\u5176\u5728\u5904\u7406\u6570\u767e\u4e07\u4e2a\u6570\u636e\u65f6\u8868\u73b0\u5c24\u4e3a\u51fa\u8272\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
        \u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u8ba1\u7b97\u65b9\u6cd5\u662f\u63d0\u9ad8\u4ee3\u7801\u6548\u7387\u548c\u51c6\u786e\u6027\u7684\u5173\u952e\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u7b80\u5355\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
          \u5bf9\u4e8e\u7b80\u5355\u7684\u6307\u6570\u8ba1\u7b97\uff0c\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\uff08\uff09\u65e2\u65b9\u4fbf\u53c8\u76f4\u89c2\u3002\u5b83\u4e0d\u9700\u8981\u5bfc\u5165\u989d\u5916\u7684\u5e93\uff0c\u975e\u5e38\u9002\u5408\u5feb\u901f\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u6570\u5b66\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
          \u5728\u9700\u8981\u8ba1\u7b97\u81ea\u7136\u6307\u6570\u65f6\uff0c\u4f7f\u7528math\u5e93\u7684exp\u51fd\u6570\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002\u5b83\u4e13\u4e3a\u6570\u5b66\u8fd0\u7b97\u8bbe\u8ba1\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u79d1\u5b66\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
          \u5982\u679c\u9700\u8981\u8fdb\u884c\u5927\u89c4\u6a21\u7684\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\uff0cNumPy\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002\u5176\u9ad8\u6548\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u4e30\u5bcc\u7684\u51fd\u6570\u5e93\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u603b\u7ed3\u6765\u8bf4\uff0cPython\u4e3a\u8ba1\u7b97\u6307\u6570\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u548c\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u4e2d\u5b9e\u73b0\u9ad8\u6548\u3001\u51c6\u786e\u7684\u6307\u6570\u8ba1\u7b97\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u8fd8\u662f\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\uff0cPython\u90fd\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u8ba1\u7b97\u6307\u6570\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684pow()<\/code>\u51fd\u6570\u6765\u8ba1\u7b97\u6307\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u53ef\u4ee5\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff0c\u7b2c\u4e00\u4e2a\u662f\u5e95\u6570\uff0c\u7b2c\u4e8c\u4e2a\u662f\u6307\u6570\u3002\u4f8b\u5982\uff0cpow(2, 3)<\/code>\u5c06\u8fd4\u56de8\uff0c\u56e0\u4e3a2\u76843\u6b21\u65b9\u7b49\u4e8e8\u3002\u6b64\u5916\uff0cpow()<\/code>\u51fd\u6570\u4e5f\u53ef\u4ee5\u63a5\u53d7\u7b2c\u4e09\u4e2a\u53c2\u6570\uff0c\u7528\u4e8e\u8ba1\u7b97\u6a21\u8fd0\u7b97\uff0c\u5373pow(base, exp, mod)<\/code>\u3002<\/p>\n
          \u4f7f\u7528NumPy\u5e93\u8ba1\u7b97\u6307\u6570\u6709\u4ec0\u4e48\u4f18\u52bf\uff1f<\/strong>
          NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u5b66\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\u3002\u4f7f\u7528NumPy\u4e2d\u7684numpy.power()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\u3002\u8fd9\u5bf9\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u975e\u5e38\u6709\u7528\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u8ba1\u7b97\u901f\u5ea6\u548c\u6548\u7387\u3002\u4f8b\u5982\uff0cnumpy.power(array, 2)<\/code>\u4f1a\u5c06\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e73\u65b9\u3002<\/p>\n
          \u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u8d1f\u6307\u6570\u548c\u5c0f\u6570\u6307\u6570\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u8d1f\u6307\u6570\u548c\u5c0f\u6570\u6307\u6570\u7684\u5904\u7406\u975e\u5e38\u7b80\u5355\u3002\u8d1f\u6307\u6570\u53ef\u4ee5\u901a\u8fc7\u5c06\u5e95\u6570\u53d6\u5012\u6570\u5e76\u4f7f\u7528\u6b63\u6307\u6570\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c2<strong>-3<\/code>\u7b49\u4ef7\u4e8e1\/(2<\/strong>3)<\/code>\uff0c\u7ed3\u679c\u4e3a0.125\u3002\u5bf9\u4e8e\u5c0f\u6570\u6307\u6570\uff0cPython\u540c\u6837\u652f\u6301\uff0c4**0.5<\/code>\u5c06\u8fd4\u56de2.0\uff0c\u56e0\u4e3a\u8fd9\u662f4\u7684\u5e73\u65b9\u6839\u3002\u65e0\u8bba\u662f\u8d1f\u6570\u8fd8\u662f\u5c0f\u6570\u6307\u6570\uff0cPython\u90fd\u4f1a\u8fd4\u56de\u4e00\u4e2a\u6d6e\u70b9\u6570\u7ed3\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8ba1\u7b97\u6307\u6570\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u5e42\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528math\u5e93\u7684exp\u51fd\u6570\u4ee5 […]","protected":false},"author":3,"featured_media":982477,"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\/982469"}],"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=982469"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/982469\/revisions"}],"predecessor-version":[{"id":982481,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/982469\/revisions\/982481"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/982477"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=982469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=982469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=982469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}