{"id":938365,"date":"2024-12-26T20:09:56","date_gmt":"2024-12-26T12:09:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/938365.html"},"modified":"2024-12-26T20:09:58","modified_gmt":"2024-12-26T12:09:58","slug":"python%e5%a6%82%e4%bd%95%e6%89%93%e6%a0%b9%e5%8f%b7","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/938365.html","title":{"rendered":"python\u5982\u4f55\u6253\u6839\u53f7"},"content":{"rendered":"

\"python\u5982\u4f55\u6253\u6839\u53f7\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
\u5728Python\u4e2d\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u6709math\u5e93\u3001\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u3001numpy\u5e93\u3001scipy\u5e93\u3001sympy\u5e93<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528math<\/code>\u5e93\u7684sqrt<\/code>\u51fd\u6570\u662f\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u5b83\u63d0\u4f9b\u4e86\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u7b80\u5355\u63a5\u53e3\u3002\u5982\u679c\u9700\u8981\u5904\u7406\u66f4\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0cnumpy<\/code>\u5e93\u7684sqrt<\/code>\u51fd\u6570\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u5bf9\u6570\u7ec4\u8fdb\u884c\u64cd\u4f5c\u3002\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\uff0cscipy<\/code>\u5e93\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u7684\u8ba1\u7b97\u80fd\u529b\u3002\u6b64\u5916\uff0csympy<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u7b26\u53f7\u8fd0\u7b97\uff0c\u662f\u8fdb\u884c\u6570\u5b66\u63a8\u5bfc\u7684\u6709\u529b\u5de5\u5177\u3002\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0c\u4f7f\u7528math<\/code>\u5e93\u662f\u6700\u5e38\u89c1\u7684\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u6ee1\u8db3\u5927\u591a\u6570\u5e94\u7528\u573a\u666f\u7684\u9700\u6c42\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001MATH\u5e93\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n<\/p>\n

math<\/code>\u5e93\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u4e13\u95e8\u7528\u4e8e\u6267\u884c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u3002\u8981\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e73\u65b9\u6839\uff0c\u53ef\u4ee5\u4f7f\u7528math.sqrt()<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    math.sqrt()<\/code>\u51fd\u6570\u7528\u6cd5\uff1a<\/p>\n

    \u8981\u4f7f\u7528math.sqrt()<\/code>\u51fd\u6570\uff0c\u9996\u5148\u9700\u8981\u5bfc\u5165math<\/code>\u5e93\u3002\u7136\u540e\u53ef\u4ee5\u76f4\u63a5\u5c06\u9700\u8981\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u6570\u4f20\u9012\u7ed9sqrt<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    import math<\/p>\n
    number = 16<\/p>\n
    result = math.sqrt(number)<\/p>\n
    print(result)  # \u8f93\u51fa\uff1a4.0<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4e2a\u51fd\u6570\u8fd4\u56de\u7684\u662f\u4e00\u4e2a\u6d6e\u70b9\u6570\uff0c\u5373\u4f7f\u8f93\u5165\u7684\u662f\u6574\u6570\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u4f7f\u7528\u573a\u666f\uff1a<\/p>\n
    math.sqrt()<\/code>\u51fd\u6570\u9002\u7528\u4e8e\u5927\u591a\u6570\u9700\u8981\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u573a\u5408\uff0c\u7279\u522b\u662f\u5f53\u4f60\u9700\u8981\u4e00\u4e2a\u7b80\u5355\u3001\u5feb\u901f\u7684\u89e3\u51b3\u65b9\u6848\u65f6\u3002\u5b83\u7684\u4e3b\u8981\u4f18\u52bf\u5728\u4e8e\u5176\u7b80\u5355\u6027\u548c\u76f4\u63a5\u6027\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n<\/p>\n
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26<\/code>\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u901a\u8fc7\u5c06\u6307\u6570\u8bbe\u7f6e\u4e3a0.5<\/code>\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5e73\u65b9\u6839\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u5e42\u8fd0\u7b97\u7b26\u7528\u6cd5\uff1a<\/p>\n
      \u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u975e\u5e38\u76f4\u63a5\u3002\u53ea\u9700\u5c06\u6307\u6570\u8bbe\u7f6e\u4e3a0.5<\/code>\u5373\u53ef\uff1a<\/p>\n<\/p>\n
      number = 25<\/p>\n
      result = number  0.5<\/p>\n
      print(result)  # \u8f93\u51fa\uff1a5.0<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u4e2a\u65b9\u6cd5\u540c\u6837\u8fd4\u56de\u4e00\u4e2a\u6d6e\u70b9\u6570\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u4f18\u52bf\u548c\u5c40\u9650\uff1a<\/p>\n
      \u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u7684\u4f18\u52bf\u5728\u4e8e\u4e0d\u9700\u8981\u5bfc\u5165\u989d\u5916\u7684\u5e93\uff0c\u4ee3\u7801\u7b80\u6d01\u3002\u7136\u800c\uff0c\u5f53\u5904\u7406\u6781\u5927\u6216\u6781\u5c0f\u6570\u503c\u65f6\uff0c\u53ef\u80fd\u4f1a\u51fa\u73b0\u7cbe\u5ea6\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001NUMPY\u5e93\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n<\/p>\n
      numpy<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5f3a\u5927\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5bf9\u6570\u7ec4\u548c\u77e9\u9635\u7684\u652f\u6301\u3002numpy<\/code>\u7684sqrt<\/code>\u51fd\u6570\u53ef\u4ee5\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5143\u7d20\u8ba1\u7b97\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        numpy.sqrt()<\/code>\u51fd\u6570\u7528\u6cd5\uff1a<\/p>\n
        \u9996\u5148\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165numpy<\/code>\u5e93\uff0c\u7136\u540e\u5c31\u53ef\u4ee5\u5bf9\u6570\u7ec4\u8fdb\u884c\u5e73\u65b9\u6839\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        arr = np.array([1, 4, 9, 16])<\/p>\n
        result = np.sqrt(arr)<\/p>\n
        print(result)  # \u8f93\u51fa\uff1a[1. 2. 3. 4.]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        numpy.sqrt()<\/code>\u8fd4\u56de\u4e00\u4e2a\u4e0e\u8f93\u5165\u6570\u7ec4\u5f62\u72b6\u76f8\u540c\u7684\u6570\u7ec4\uff0c\u5176\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u76f8\u5e94\u8f93\u5165\u7684\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u4f7f\u7528\u573a\u5408\uff1a<\/p>\n
        numpy<\/code>\u7279\u522b\u9002\u5408\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u573a\u666f\uff0c\u5c24\u5176\u662f\u5728\u8fdb\u884c\u6570\u503c\u8fd0\u7b97\u65f6\u3002\u5b83\u80fd\u591f\u663e\u8457\u63d0\u5347\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001SCIPY\u5e93\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n<\/p>\n
        scipy<\/code>\u662f\u4e00\u4e2a\u57fa\u4e8enumpy<\/code>\u6784\u5efa\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u591a\u9ad8\u7ea7\u7684\u79d1\u5b66\u8ba1\u7b97\u529f\u80fd\u3002\u867d\u7136scipy<\/code>\u5e76\u6ca1\u6709\u4e13\u95e8\u7684sqrt<\/code>\u51fd\u6570\uff0c\u4f46\u5b83\u7684\u8bb8\u591a\u51fd\u6570\u4e2d\u90fd\u6d89\u53ca\u5230\u5e73\u65b9\u6839\u7684\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u5178\u578b\u7528\u6cd5\uff1a<\/p>\n
          scipy<\/code>\u5e93\u901a\u5e38\u7528\u4e8e\u66f4\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u6bd4\u5982\u4fe1\u53f7\u5904\u7406\u3001\u4f18\u5316\u7b49\u3002\u867d\u7136\u6ca1\u6709\u76f4\u63a5\u7684\u5e73\u65b9\u6839\u51fd\u6570\uff0c\u4f46\u5176\u5904\u7406\u590d\u6742\u8fd0\u7b97\u7684\u80fd\u529b\u4f7f\u5176\u6210\u4e3a\u79d1\u5b66\u8ba1\u7b97\u7684\u7406\u60f3\u9009\u62e9\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u9002\u7528\u573a\u666f\uff1a<\/p>\n
          \u5f53\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\u6216\u6d89\u53ca\u5230\u9ad8\u7ea7\u6570\u5b66\u51fd\u6570\u65f6\uff0cscipy<\/code>\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001SYMPY\u5e93\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n<\/p>\n
          sympy<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u7b26\u53f7\u6570\u5b66\u7684Python\u5e93\uff0c\u5b83\u5141\u8bb8\u5bf9\u6570\u5b66\u8868\u8fbe\u5f0f\u8fdb\u884c\u7b26\u53f7\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
            \n
          1. \n
            sympy.sqrt()<\/code>\u51fd\u6570\u7528\u6cd5\uff1a<\/p>\n
            \u4f7f\u7528sympy<\/code>\u5e93\u53ef\u4ee5\u8fdb\u884c\u7cbe\u786e\u7684\u7b26\u53f7\u8fd0\u7b97\uff0c\u9002\u5408\u9700\u8981\u6570\u5b66\u63a8\u5bfc\u7684\u573a\u5408\uff1a<\/p>\n<\/p>\n
            from sympy import sqrt, Symbol<\/p>\n
            x = Symbol('x')<\/p>\n
            result = sqrt(x)<\/p>\n
            print(result)  # \u8f93\u51fa\uff1asqrt(x)<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n
          2. \n
            \u5e94\u7528\u573a\u5408\uff1a<\/p>\n
            \u5f53\u9700\u8981\u8fdb\u884c\u7b26\u53f7\u8fd0\u7b97\u3001\u4ee3\u6570\u63a8\u5bfc\u6216\u516c\u5f0f\u5316\u7b80\u65f6\uff0csympy<\/code>\u662f\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u901a\u8fc7\u5bf9\u4ee5\u4e0a\u65b9\u6cd5\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u5e94\u7528\u573a\u666f\u9009\u62e9\u6700\u5408\u9002\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u65b9\u5f0f\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u503c\u8ba1\u7b97\uff0c\u8fd8\u662f\u590d\u6742\u7684\u79d1\u5b66\u5206\u6790\uff0cPython\u90fd\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u5e93\u6765\u6ee1\u8db3\u5404\u79cd\u9700\u6c42\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u5e73\u65b9\u6839\uff1f<\/strong>
            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684math<\/code>\u6a21\u5757\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u5177\u4f53\u65b9\u6cd5\u662f\u8c03\u7528math.sqrt()<\/code>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u63a5\u53d7\u4e00\u4e2a\u6570\u5b57\u4f5c\u4e3a\u53c2\u6570\uff0c\u5e76\u8fd4\u56de\u5176\u5e73\u65b9\u6839\u3002\u4f8b\u5982\uff1a<\/p>\n
            import math\nresult = math.sqrt(16)  # \u8fd4\u56de4.0\n<\/code><\/pre>\n
            \u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528**<\/code>\u8fd0\u7b97\u7b26\uff0c\u5229\u7528\u5e42\u8fd0\u7b97\u6765\u5b9e\u73b0\u5e73\u65b9\u6839\u7684\u8ba1\u7b97\uff1a<\/p>\n
            result = 16 ** 0.5  # \u8fd4\u56de4.0\n<\/code><\/pre>\n
            \u9664\u4e86\u5e73\u65b9\u6839\uff0cPython\u80fd\u8ba1\u7b97\u5176\u4ed6\u6839\u5417\uff1f<\/strong>
            \u5f53\u7136\u53ef\u4ee5\u3002\u8981\u8ba1\u7b97\u5176\u4ed6\u6839\uff0c\u6bd4\u5982\u7acb\u65b9\u6839\u6216\u56db\u6b21\u6839\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26<strong><\/code>\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u7acb\u65b9\u6839\u53ef\u4ee5\u7528number <\/strong> (1\/3)<\/code>\u7684\u5f62\u5f0f\uff1a<\/p>\n
            cube_root = 27 ** (1\/3)  # \u8fd4\u56de3.0\n<\/code><\/pre>\n
            \u7c7b\u4f3c\u7684\uff0c\u56db\u6b21\u6839\u53ef\u4ee5\u7528number ** (1\/4)<\/code>\u6765\u8ba1\u7b97\u3002<\/p>\n
            \u5728Python\u4e2d\u8ba1\u7b97\u6839\u53f7\u7684\u5e38\u89c1\u9519\u8bef\u6709\u54ea\u4e9b\uff1f<\/strong>
            \u5728\u8ba1\u7b97\u5e73\u65b9\u6839\u65f6\uff0c\u5982\u679c\u4f20\u5165\u7684\u6570\u5b57\u4e3a\u8d1f\u6570\uff0cmath.sqrt()<\/code>\u51fd\u6570\u4f1a\u5f15\u53d1ValueError<\/code>\u9519\u8bef\u3002\u4e3a\u907f\u514d\u8fd9\u79cd\u60c5\u51b5\uff0c\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u8bed\u53e5\u6765\u68c0\u67e5\u6570\u5b57\u662f\u5426\u4e3a\u975e\u8d1f\uff1a<\/p>\n
            number = -4\nif number < 0:\n    print("\u65e0\u6cd5\u8ba1\u7b97\u8d1f\u6570\u7684\u5e73\u65b9\u6839")\nelse:\n    result = math.sqrt(number)\n<\/code><\/pre>\n
            \u53e6\u5916\uff0c\u4f7f\u7528**<\/code>\u8fd0\u7b97\u7b26\u4e5f\u8981\u6ce8\u610f\uff0c\u786e\u4fdd\u6307\u6570\u4e3a\u5408\u7406\u7684\u503c\uff0c\u4ee5\u907f\u514d\u4ea7\u751f\u590d\u6742\u7ed3\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a\u5728Python\u4e2d\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u6709math\u5e93\u3001\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u3001numpy\u5e93\u3001scipy\u5e93 […]","protected":false},"author":3,"featured_media":938366,"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\/938365"}],"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=938365"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/938365\/revisions"}],"predecessor-version":[{"id":938367,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/938365\/revisions\/938367"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/938366"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=938365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=938365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=938365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}