{"id":1070113,"date":"2025-01-08T10:55:13","date_gmt":"2025-01-08T02:55:13","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1070113.html"},"modified":"2025-01-08T10:55:15","modified_gmt":"2025-01-08T02:55:15","slug":"%e5%a6%82%e4%bd%95%e6%9f%a5%e6%89%bepython%e5%ba%93%e4%b8%ad%e7%9a%84%e5%87%bd%e6%95%b0%e9%87%8a%e4%b9%89-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1070113.html","title":{"rendered":"\u5982\u4f55\u67e5\u627epython\u5e93\u4e2d\u7684\u51fd\u6570\u91ca\u4e49"},"content":{"rendered":"

\"\u5982\u4f55\u67e5\u627epython\u5e93\u4e2d\u7684\u51fd\u6570\u91ca\u4e49\"<\/p>\n

\u67e5\u627ePython\u5e93\u4e2d\u7684\u51fd\u6570\u91ca\u4e49\u6709\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u3001\u4f7f\u7528help()\u51fd\u6570\u3001\u4f7f\u7528dir()\u51fd\u6570\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u5de5\u5177\uff08\u5982PyCharm\u3001Jupyter Notebook\uff09<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u662f\u6700\u63a8\u8350\u7684\uff0c\u56e0\u4e3a\u5b83\u6700\u4e3a\u8be6\u5c3d\u548c\u6743\u5a01\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u8bb2\u89e3\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u5b98\u65b9\u6587\u6863\u662fPython\u5e93\u6700\u6743\u5a01\u7684\u53c2\u8003\u8d44\u6599\uff0c\u51e0\u4e4e\u6240\u6709\u7684Python\u5e93\u90fd\u6709\u81ea\u5df1\u7684\u5b98\u65b9\u6587\u6863\u3002\u901a\u8fc7\u5b98\u65b9\u6587\u6863\uff0c\u4f60\u53ef\u4ee5\u67e5\u5230\u4efb\u4f55\u4e00\u4e2a\u51fd\u6570\u7684\u8be6\u7ec6\u91ca\u4e49\u3001\u53c2\u6570\u8bf4\u660e\u3001\u8fd4\u56de\u503c\u4ee5\u53ca\u4f7f\u7528\u793a\u4f8b\u3002\u4e0b\u9762\u6211\u4eec\u4ee5numpy\u5e93\u4e3a\u4f8b\uff0c\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u67e5\u627e\u51fd\u6570\u91ca\u4e49\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u67e5\u627e\u51fd\u6570\u91ca\u4e49<\/h3>\n<\/p>\n

\u5b98\u65b9\u6587\u6863\u901a\u5e38\u662f\u67e5\u627e\u5e93\u4e2d\u51fd\u6570\u91ca\u4e49\u7684\u9996\u9009\uff0c\u56e0\u4e3a\u5b83\u6700\u4e3a\u8be6\u5c3d\u548c\u6743\u5a01\u3002\u4e0b\u9762\u662f\u67e5\u627e\u5b98\u65b9\u6587\u6863\u7684\u65b9\u6cd5\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u8bbf\u95ee\u5b98\u65b9\u6587\u6863\u7f51\u7ad9<\/strong><\/p>\n<\/p>\n

    \u9996\u5148\uff0c\u4f60\u9700\u8981\u8bbf\u95ee\u6240\u4f7f\u7528\u5e93\u7684\u5b98\u65b9\u6587\u6863\u7f51\u7ad9\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8enumpy\u5e93\uff0c\u4f60\u53ef\u4ee5\u8bbf\u95ee numpy\u5b98\u65b9\u6587\u6863<\/a>\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u627e\u5230numpy\u5e93\u4e2d\u6240\u6709\u51fd\u6570\u7684\u8be6\u7ec6\u8bf4\u660e\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    \u4f7f\u7528\u641c\u7d22\u529f\u80fd<\/strong><\/p>\n<\/p>\n

    \u5b98\u65b9\u6587\u6863\u7f51\u7ad9\u901a\u5e38\u4f1a\u63d0\u4f9b\u641c\u7d22\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u5728\u641c\u7d22\u6846\u4e2d\u8f93\u5165\u4f60\u9700\u8981\u67e5\u627e\u7684\u51fd\u6570\u540d\u3002\u4f8b\u5982\uff0c\u5728numpy\u5b98\u65b9\u6587\u6863\u7684\u641c\u7d22\u6846\u4e2d\u8f93\u5165numpy.array<\/code>\uff0c\u4f60\u4f1a\u770b\u5230\u5173\u4e8enumpy.array<\/code>\u51fd\u6570\u7684\u8be6\u7ec6\u89e3\u91ca\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    \u67e5\u770b\u51fd\u6570\u8be6\u7ec6\u4fe1\u606f<\/strong><\/p>\n<\/p>\n

    \u70b9\u51fb\u641c\u7d22\u7ed3\u679c\u4e2d\u7684\u51fd\u6570\u540d\uff0c\u4f60\u4f1a\u8fdb\u5165\u8be5\u51fd\u6570\u7684\u8be6\u7ec6\u8bf4\u660e\u9875\u9762\u3002\u5728\u8fd9\u4e2a\u9875\u9762\u4e2d\uff0c\u4f60\u53ef\u4ee5\u770b\u5230\u51fd\u6570\u7684\u5b9a\u4e49\u3001\u53c2\u6570\u8bf4\u660e\u3001\u8fd4\u56de\u503c\u4ee5\u53ca\u4f7f\u7528\u793a\u4f8b\u3002\u5b98\u65b9\u6587\u6863\u901a\u5e38\u8fd8\u4f1a\u63d0\u4f9b\u4e00\u4e9b\u76f8\u5173\u7684\u51fd\u6570\u548c\u7c7b\u7684\u94fe\u63a5\uff0c\u65b9\u4fbf\u4f60\u8fdb\u4e00\u6b65\u67e5\u627e\u548c\u5b66\u4e60\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

    \u4e8c\u3001\u4f7f\u7528help()\u51fd\u6570<\/h3>\n<\/p>\n

    Python\u81ea\u5e26\u7684help()\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u67e5\u770b\u51fd\u6570\u7684\u91ca\u4e49\u3002\u8fd9\u4e2a\u65b9\u6cd5\u975e\u5e38\u65b9\u4fbf\uff0c\u5c24\u5176\u662f\u5728\u4f60\u5df2\u7ecf\u77e5\u9053\u51fd\u6570\u540d\u7684\u60c5\u51b5\u4e0b\u3002<\/p>\n<\/p>\n

      \n
    1. \n

      \u4f7f\u7528help()\u51fd\u6570<\/strong><\/p>\n<\/p>\n

      \u4f60\u53ef\u4ee5\u5728Python\u89e3\u91ca\u5668\u6216\u8005\u811a\u672c\u4e2d\u4f7f\u7528help()\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u8981\u67e5\u770bnumpy.array<\/code>\u51fd\u6570\u7684\u91ca\u4e49\uff0c\u4f60\u53ef\u4ee5\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

      import numpy as np<\/p>\n
      help(np.array)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u5c06\u6253\u5370\u51fanumpy.array<\/code>\u51fd\u6570\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u5305\u62ec\u51fd\u6570\u7684\u5b9a\u4e49\u3001\u53c2\u6570\u8bf4\u660e\u548c\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u67e5\u770b\u8f93\u51fa\u4fe1\u606f<\/strong><\/p>\n<\/p>\n
      help()\u51fd\u6570\u7684\u8f93\u51fa\u4fe1\u606f\u901a\u5e38\u6bd4\u8f83\u7b80\u6d01\uff0c\u4f46\u5b83\u5305\u542b\u4e86\u51fd\u6570\u7684\u4e3b\u8981\u4fe1\u606f\uff0c\u5bf9\u4e8e\u5feb\u901f\u67e5\u627e\u51fd\u6570\u91ca\u4e49\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u4f7f\u7528dir()\u51fd\u6570<\/h3>\n<\/p>\n
      dir()\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u67e5\u770b\u4e00\u4e2a\u6a21\u5757\u4e2d\u7684\u6240\u6709\u5c5e\u6027\u548c\u65b9\u6cd5\u3002\u867d\u7136\u5b83\u4e0d\u80fd\u76f4\u63a5\u63d0\u4f9b\u51fd\u6570\u7684\u91ca\u4e49\uff0c\u4f46\u5b83\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u627e\u5230\u4e00\u4e2a\u6a21\u5757\u4e2d\u7684\u6240\u6709\u51fd\u6570\u540d\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u4f7f\u7528dir()\u51fd\u6570<\/strong><\/p>\n<\/p>\n
        \u4f60\u53ef\u4ee5\u5728Python\u89e3\u91ca\u5668\u6216\u8005\u811a\u672c\u4e2d\u4f7f\u7528dir()\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u8981\u67e5\u770bnumpy\u6a21\u5757\u4e2d\u7684\u6240\u6709\u5c5e\u6027\u548c\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        print(dir(np))<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u5c06\u6253\u5370\u51fanumpy\u6a21\u5757\u4e2d\u7684\u6240\u6709\u5c5e\u6027\u548c\u65b9\u6cd5\u3002\u4f60\u53ef\u4ee5\u5728\u8f93\u51fa\u7ed3\u679c\u4e2d\u627e\u5230\u4f60\u611f\u5174\u8da3\u7684\u51fd\u6570\u540d\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u7ed3\u5408help()\u51fd\u6570<\/strong><\/p>\n<\/p>\n
        \u4e00\u65e6\u4f60\u627e\u5230\u4e86\u4f60\u611f\u5174\u8da3\u7684\u51fd\u6570\u540d\uff0c\u4f60\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528help()\u51fd\u6570\u6765\u67e5\u770b\u8be5\u51fd\u6570\u7684\u8be6\u7ec6\u91ca\u4e49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        help(np.array)<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u5de5\u5177<\/h3>\n<\/p>\n
        \u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u7b2c\u4e09\u65b9\u5de5\u5177\u6765\u67e5\u627ePython\u5e93\u4e2d\u7684\u51fd\u6570\u91ca\u4e49\u3002\u8fd9\u4e9b\u5de5\u5177\u901a\u5e38\u63d0\u4f9b\u4e86\u66f4\u52a0\u53cb\u597d\u7684\u7528\u6237\u754c\u9762\u548c\u66f4\u591a\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u4f7f\u7528PyCharm<\/strong><\/p>\n<\/p>\n
          PyCharm\u662f\u4e00\u4e2a\u6d41\u884c\u7684Python\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u4ee3\u7801\u81ea\u52a8\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\u3002\u5728PyCharm\u4e2d\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7Ctrl+Q\u5feb\u6377\u952e\u5feb\u901f\u67e5\u770b\u51fd\u6570\u7684\u91ca\u4e49\u3002\u6b64\u5916\uff0cPyCharm\u8fd8\u4f1a\u5728\u4f60\u8f93\u5165\u4ee3\u7801\u65f6\u81ea\u52a8\u663e\u793a\u51fd\u6570\u7684\u53c2\u6570\u8bf4\u660e\u548c\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u4f7f\u7528Jupyter Notebook<\/strong><\/p>\n<\/p>\n
          Jupyter Notebook\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u4ea4\u4e92\u5f0f\u8ba1\u7b97\u73af\u5883\uff0c\u7279\u522b\u9002\u5408\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u3002\u5728Jupyter Notebook\u4e2d\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728\u51fd\u6570\u540d\u540e\u52a0\u4e0a\u4e00\u4e2a\u95ee\u53f7\u6765\u67e5\u770b\u51fd\u6570\u7684\u91ca\u4e49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          np.array?<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u5c06\u663e\u793anumpy.array<\/code>\u51fd\u6570\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u5305\u62ec\u51fd\u6570\u7684\u5b9a\u4e49\u3001\u53c2\u6570\u8bf4\u660e\u548c\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
          \u67e5\u627ePython\u5e93\u4e2d\u7684\u51fd\u6570\u91ca\u4e49\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u5b98\u65b9\u6587\u6863\u3001\u4f7f\u7528help()\u51fd\u6570\u3001\u4f7f\u7528dir()\u51fd\u6570\u4ee5\u53ca\u4f7f\u7528\u7b2c\u4e09\u65b9\u5de5\u5177\u3002\u5b98\u65b9\u6587\u6863\u662f\u6700\u63a8\u8350\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u6700\u4e3a\u8be6\u5c3d\u548c\u6743\u5a01\u3002help()\u51fd\u6570\u548cdir()\u51fd\u6570\u5219\u63d0\u4f9b\u4e86\u66f4\u52a0\u7b80\u4fbf\u548c\u5feb\u6377\u7684\u67e5\u627e\u65b9\u5f0f\u3002\u7b2c\u4e09\u65b9\u5de5\u5177\u5982PyCharm\u548cJupyter Notebook\u5219\u63d0\u4f9b\u4e86\u66f4\u52a0\u53cb\u597d\u7684\u7528\u6237\u754c\u9762\u548c\u66f4\u591a\u7684\u529f\u80fd\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u67e5\u627e\u5230Python\u5e93\u4e2d\u4efb\u4f55\u4e00\u4e2a\u51fd\u6570\u7684\u8be6\u7ec6\u91ca\u4e49\uff0c\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u5e93\u4e2d\u67e5\u627e\u7279\u5b9a\u51fd\u6570\u7684\u4f7f\u7528\u793a\u4f8b\uff1f<\/strong>
          \u5728Python\u5e93\u4e2d\u67e5\u627e\u7279\u5b9a\u51fd\u6570\u7684\u4f7f\u7528\u793a\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u5b98\u65b9\u6587\u6863\u6216\u4f7f\u7528\u4ea4\u4e92\u5f0fPython\u73af\u5883\u4e2d\u7684\u5e2e\u52a9\u529f\u80fd\u3002\u5b98\u65b9\u6587\u6863\u901a\u5e38\u63d0\u4f9b\u4e30\u5bcc\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u5e93\u4e2d\u7684\u51fd\u6570\u3002\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528help()<\/code>\u51fd\u6570\u6216?<\/code>\u8fd0\u7b97\u7b26\uff0c\u7ed3\u5408\u60a8\u8981\u67e5\u8be2\u7684\u51fd\u6570\u540d\uff0c\u83b7\u5f97\u8be5\u51fd\u6570\u7684\u8be6\u7ec6\u4fe1\u606f\u548c\u793a\u4f8b\u3002<\/p>\n
          \u6709\u54ea\u4e9b\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u6211\u66f4\u65b9\u4fbf\u5730\u67e5\u627ePython\u5e93\u7684\u51fd\u6570\u91ca\u4e49\uff1f<\/strong>
          \u6709\u8bb8\u591a\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u4fbf\u6377\u5730\u67e5\u627ePython\u5e93\u7684\u51fd\u6570\u91ca\u4e49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528IDE\uff08\u5982PyCharm\u6216VS Code\uff09\u65f6\uff0c\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u60ac\u505c\u5728\u51fd\u6570\u540d\u4e0a\uff0c\u76f4\u63a5\u67e5\u770b\u5176\u6587\u6863\u3002\u6b64\u5916\uff0c\u5728\u7ebf\u5e73\u53f0\u5982Read the Docs\u548cGithub\u4e5f\u63d0\u4f9b\u4e86\u8bb8\u591a\u5e93\u7684\u8be6\u7ec6\u6587\u6863\u548c\u4ee3\u7801\u793a\u4f8b\uff0c\u65b9\u4fbf\u7528\u6237\u67e5\u627e\u548c\u5b66\u4e60\u3002<\/p>\n
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