{"id":940325,"date":"2024-12-26T20:57:42","date_gmt":"2024-12-26T12:57:42","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/940325.html"},"modified":"2024-12-26T20:57:45","modified_gmt":"2024-12-26T12:57:45","slug":"python-%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba%e6%8c%87%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/940325.html","title":{"rendered":"python \u5982\u4f55\u8868\u793a\u6307\u6570"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u4e2d\uff0c\u6307\u6570\u53ef\u4ee5\u901a\u8fc7<\/strong><\/code>\u8fd0\u7b97\u7b26\u3001math.pow()<\/code>\u51fd\u6570\u3001numpy<\/code>\u5e93\u4e2d\u7684numpy.power()<\/code>\u51fd\u6570\u6765\u8868\u793a\u3002\u8fd9\u4e09\u79cd\u65b9\u6cd5\u63d0\u4f9b\u4e86\u4e0d\u540c\u7684\u4f7f\u7528\u573a\u666f\u548c\u7075\u6d3b\u6027\u3002\u4f8b\u5982\uff0c<\/strong><\/code>\u8fd0\u7b97\u7b26\u662f\u6700\u7b80\u6d01\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u800cmath.pow()<\/code>\u51fd\u6570\u5728\u9700\u8981\u5904\u7406\u6d6e\u70b9\u8fd0\u7b97\u65f6\u975e\u5e38\u6709\u7528\uff0cnumpy.power()<\/code>\u5219\u9002\u7528\u4e8e\u9700\u8981\u5904\u7406\u5927\u89c4\u6a21\u6570\u7ec4\u8fd0\u7b97\u7684\u60c5\u51b5\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e09\u79cd\u65b9\u6cd5\u7684\u4f7f\u7528\u53ca\u5176\u9002\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4e00\u3001<\/code>\u8fd0\u7b97\u7b26\u7684\u4f7f\u7528<\/p>\n<\/p>\n

<strong><\/code>\u8fd0\u7b97\u7b26\u662fPython\u4e2d\u6700\u57fa\u672c\u7684\u6307\u6570\u8fd0\u7b97\u7b26\uff0c\u7528\u4e8e\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e42\u3002\u4f8b\u5982\uff0c2<\/strong>3<\/code>\u8868\u793a2\u76843\u6b21\u5e42\uff0c\u53738\u3002\u8fd9\u4e2a\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u6307\u6570\u8fd0\u7b97\u3002<\/p>\n<\/p>\n

    \n
  1. \n

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

    \u5728\u65e5\u5e38\u7f16\u7a0b\u4e2d\uff0c\u4f7f\u7528<\/code>\u8fd0\u7b97\u7b26\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\u662f\u6700\u5e38\u89c1\u7684\u65b9\u5f0f\u3002\u5b83\u7684\u8bed\u6cd5\u975e\u5e38\u76f4\u89c2\uff0c\u7c7b\u4f3c\u4e8e\u6570\u5b66\u4e2d\u7684\u6307\u6570\u8868\u793a\u6cd5\uff1a<\/p>\n<\/p>\n

    result = 2  3<\/p>\n
    print(result)  # \u8f93\u51fa 8<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c2<\/code>\u662f\u5e95\u6570\uff0c3<\/code>\u662f\u6307\u6570\uff0c\u8ba1\u7b97\u7ed3\u679c\u4e3a8\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u6d6e\u70b9\u6570\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
    <\/code>\u8fd0\u7b97\u7b26\u540c\u6837\u652f\u6301\u6d6e\u70b9\u6570\u7684\u6307\u6570\u8fd0\u7b97\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    result = 4.0  0.5<\/p>\n
    print(result)  # \u8f93\u51fa 2.0<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u91cc\u8ba1\u7b974\u7684\u5e73\u65b9\u6839\uff0c\u7ed3\u679c\u4e3a2.0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001math.pow()<\/code>\u51fd\u6570\u7684\u4f7f\u7528<\/p>\n<\/p>\n
    math.pow()<\/code>\u51fd\u6570\u662fPython\u6807\u51c6\u5e93\u4e2d\u7684\u4e00\u4e2a\u51fd\u6570\uff0c\u7528\u4e8e\u6267\u884c\u6d6e\u70b9\u6570\u7684\u5e42\u8fd0\u7b97\u3002\u4e0e<\/code>\u8fd0\u7b97\u7b26\u4e0d\u540c\uff0cmath.pow()<\/code>\u59cb\u7ec8\u8fd4\u56de\u6d6e\u70b9\u6570\u7ed3\u679c\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
      math.pow()<\/code>\u9700\u8981\u5bfc\u5165math<\/code>\u6a21\u5757\u540e\u4f7f\u7528\uff0c\u5b83\u7684\u53c2\u6570\u662f\u5e95\u6570\u548c\u6307\u6570\uff1a<\/p>\n<\/p>\n
      import math<\/p>\n
      result = math.pow(2, 3)<\/p>\n
      print(result)  # \u8f93\u51fa 8.0<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5c3d\u7ba1\u8f93\u5165\u662f\u6574\u6570\uff0c\u8f93\u51fa\u4ecd\u7136\u662f\u6d6e\u70b9\u6570\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u5904\u7406\u590d\u6742\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
      math.pow()<\/code>\u5e38\u7528\u4e8e\u9700\u8981\u7cbe\u786e\u63a7\u5236\u7ed3\u679c\u4e3a\u6d6e\u70b9\u6570\u7684\u573a\u666f\uff0c\u5c24\u5176\u662f\u6d89\u53ca\u79d1\u5b66\u8ba1\u7b97\u65f6\uff1a<\/p>\n<\/p>\n
      import math<\/p>\n
      result = math.pow(9, 0.5)<\/p>\n
      print(result)  # \u8f93\u51fa 3.0<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8ba1\u7b979\u7684\u5e73\u65b9\u6839\uff0c\u7ed3\u679c\u4e3a3.0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001numpy.power()<\/code>\u51fd\u6570\u7684\u4f7f\u7528<\/p>\n<\/p>\n
      numpy<\/code>\u5e93\u662fPython\u4e2d\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0cnumpy.power()<\/code>\u51fd\u6570\u7528\u4e8e\u5bf9\u6570\u7ec4\u8fdb\u884c\u5143\u7d20\u7ea7\u7684\u5e42\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528numpy.power()<\/code>\u51fd\u6570\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165numpy<\/code>\u5e93\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        array = np.array([1, 2, 3, 4])<\/p>\n
        result = np.power(array, 2)<\/p>\n
        print(result)  # \u8f93\u51fa [ 1  4  9 16]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u91cc\u6bcf\u4e2a\u5143\u7d20\u90fd\u88ab\u5e73\u65b9\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u5927\u89c4\u6a21\u6570\u636e\u5904\u7406<\/strong><\/p>\n<\/p>\n
        numpy.power()<\/code>\u7279\u522b\u9002\u5408\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u7684\u8fd0\u7b97\uff0c\u7531\u4e8e\u5176\u5e95\u5c42\u5b9e\u73b0\u662f\u7528C\u8bed\u8a00\u7f16\u5199\u7684\uff0c\u56e0\u6b64\u6027\u80fd\u975e\u5e38\u9ad8\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        array = np.random.rand(1000000)<\/p>\n
        result = np.power(array, 3)<\/p>\n
        \u5904\u7406\u4e00\u4e2a\u5305\u542b\u4e00\u767e\u4e07\u4e2a\u5143\u7d20\u7684\u6570\u7ec4\uff0c\u8ba1\u7b97\u5176\u7acb\u65b9<\/strong><\/h2>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u5904\u7406\u65b9\u5f0f\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u4e2d\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u6307\u6570\u8fd0\u7b97\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
          \n
        1. \n
          \u6570\u5b66\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
          \u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u5b66\u8ba1\u7b97\u8fd8\u662f\u590d\u6742\u7684\u79d1\u5b66\u8fd0\u7b97\uff0c\u6307\u6570\u8fd0\u7b97\u90fd\u626e\u6f14\u7740\u91cd\u8981\u89d2\u8272\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u590d\u5229\u3001\u51e0\u4f55\u5e8f\u5217\u548c\u7269\u7406\u516c\u5f0f\u4e2d\u7684\u6307\u6570\u9879\u65f6\uff0c\u6307\u6570\u8fd0\u7b97\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u6570\u636e\u5206\u6790<\/strong><\/p>\n<\/p>\n
          \u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5e38\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u5f52\u4e00\u5316\u6216\u5bf9\u6570\u53d8\u6362\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u90fd\u6d89\u53ca\u6307\u6570\u8fd0\u7b97\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u5bf9\u6570\u6536\u76ca\u7387\u65f6\uff0c\u53ef\u4ee5\u7528\u6307\u6570\u8fd0\u7b97\u8fd8\u539f\u4ef7\u683c\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u673a\u5668\u5b66\u4e60<\/a><\/strong><\/p>\n<\/p>\n
          \u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u6307\u6570\u8fd0\u7b97\u7528\u4e8e\u8ba1\u7b97\u6fc0\u6d3b\u51fd\u6570\u3001\u635f\u5931\u51fd\u6570\u7b49\u3002\u4f8b\u5982\uff0csoftmax\u51fd\u6570\u548c\u6307\u6570\u52a0\u6743\u5e73\u5747\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
          \u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u6307\u6570\u8fd0\u7b97\u65b9\u6cd5\u662f\u975e\u5e38\u91cd\u8981\u7684\uff1a<\/p>\n<\/p>\n
            \n
          1. \n
            \u7b80\u5355\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
            \u5bf9\u4e8e\u7b80\u5355\u7684\u6570\u503c\u8fd0\u7b97\uff0c<\/code>\u8fd0\u7b97\u7b26\u662f\u6700\u597d\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u76f4\u89c2\u4e14\u9ad8\u6548\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u7cbe\u786e\u63a7\u5236<\/strong><\/p>\n<\/p>\n
            \u5f53\u9700\u8981\u7cbe\u786e\u63a7\u5236\u6d6e\u70b9\u8fd0\u7b97\u65f6\uff0cmath.pow()<\/code>\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u5c24\u5176\u662f\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n
          3. \n
            \u5927\u89c4\u6a21\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
            \u5bf9\u4e8e\u9700\u8981\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u7684\u573a\u666f\uff0cnumpy.power()<\/code>\u5219\u662f\u6700\u4f18\u9009\u62e9\uff0c\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u8fd0\u7b97\u80fd\u529b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u901a\u8fc7\u7406\u89e3\u548c\u638c\u63e1Python\u4e2d\u7684\u6307\u6570\u8fd0\u7b97\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u7f16\u7a0b\u573a\u666f\u4e2d\u7075\u6d3b\u5e94\u7528\uff0c\u63d0\u5347\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u8bfb\u6027\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u5b66\u8ba1\u7b97\uff0c\u8fd8\u662f\u590d\u6742\u7684\u6570\u636e\u5206\u6790\uff0c\u6307\u6570\u8fd0\u7b97\u90fd\u662f\u4e00\u4e2a\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             Python\u4e2d\u5982\u4f55\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a\u6307\u6570\uff1f<\/strong>
            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\u6765\u8868\u793a\u6307\u6570\u3002\u4f8b\u5982\uff0c\u6570\u5b571000\u53ef\u4ee5\u8868\u793a\u4e3a1e3\uff0c\u5176\u4e2d\u201ce\u201d\u4ee3\u8868\u6307\u6570\u3002\u8fd9\u6837\uff0c1e3\u5373\u8868\u793a1\u4e58\u4ee510\u76843\u6b21\u65b9\u3002\u8fd9\u79cd\u8868\u793a\u6cd5\u7279\u522b\u9002\u5408\u5904\u7406\u975e\u5e38\u5927\u6216\u975e\u5e38\u5c0f\u7684\u6570\u5b57\uff0c\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u6613\u8bfb\u3002<\/p>\n
            \u5728Python\u4e2d\u5982\u4f55\u8ba1\u7b97\u6307\u6570\u503c\uff1f<\/strong>
            \u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<strong><\/code>\u8fd0\u7b97\u7b26\u6765\u8ba1\u7b97\u6307\u6570\u3002\u4f8b\u5982\uff0c2 <\/strong> 3<\/code>\u5c06\u8fd4\u56de8\uff0c\u56e0\u4e3a2\u76843\u6b21\u65b9\u7b49\u4e8e8\u3002\u6b64\u5916\uff0cPython\u8fd8\u63d0\u4f9b\u4e86math<\/code>\u6a21\u5757\u4e2d\u7684pow()<\/code>\u51fd\u6570\uff0c\u4f7f\u7528\u65b9\u5f0f\u4e3amath.pow(2, 3)<\/code>\uff0c\u540c\u6837\u8fd4\u56de8\u3002pow()<\/code>\u51fd\u6570\u4e5f\u652f\u6301\u5bf9\u7ed3\u679c\u53d6\u6a21\u64cd\u4f5c\uff0c\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u3002<\/p>\n
            \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528NumPy\u5e93\u5904\u7406\u6307\u6570\u8fd0\u7b97\uff1f<\/strong>
            NumPy\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u5b66\u8fd0\u7b97\u529f\u80fd\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u6570\u7ec4\u65f6\u3002\u5f53\u9700\u8981\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528numpy.power()<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff0cnumpy.power(array, exponent)<\/code>\u5c06\u8fd4\u56de\u6bcf\u4e2a\u5143\u7d20\u7684\u6307\u5b9a\u6307\u6570\u503c\u3002\u8fd9\u4f7f\u5f97\u5bf9\u5927\u89c4\u6a21\u6570\u636e\u7684\u5904\u7406\u53d8\u5f97\u9ad8\u6548\u4e14\u7b80\u5355\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u6307\u6570\u53ef\u4ee5\u901a\u8fc7<\/strong>\u8fd0\u7b97\u7b26\u3001math.pow()\u51fd\u6570\u3001numpy\u5e93\u4e2d\u7684 […]","protected":false},"author":3,"featured_media":940328,"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\/940325"}],"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=940325"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/940325\/revisions"}],"predecessor-version":[{"id":940329,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/940325\/revisions\/940329"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/940328"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=940325"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=940325"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=940325"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}