{"id":953396,"date":"2024-12-27T01:43:12","date_gmt":"2024-12-26T17:43:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/953396.html"},"modified":"2024-12-27T01:43:14","modified_gmt":"2024-12-26T17:43:14","slug":"python%e4%b8%ad%e7%9f%a9%e9%98%b5%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/953396.html","title":{"rendered":"python\u4e2d\u77e9\u9635\u5982\u4f55\u8868\u793a"},"content":{"rendered":"

\"python\u4e2d\u77e9\u9635\u5982\u4f55\u8868\u793a\"<\/p>\n

\u5728Python\u4e2d\uff0c\u77e9\u9635\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u8868\u793a\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u5217\u8868\u7684\u5217\u8868\u3001NumPy\u5e93\u3001Pandas\u5e93<\/strong>\u3002\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u548c\u6700\u6709\u6548\u7684\u65b9\u6cd5\u662f\u4f7f\u7528NumPy\u5e93\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u5904\u7406\u529f\u80fd\u3002NumPy\u5e93\u5728\u5904\u7406\u6570\u503c\u8ba1\u7b97\u65f6\u5177\u6709\u51fa\u8272\u7684\u6027\u80fd\u548c\u7b80\u6d01\u7684\u8bed\u6cd5\uff0c\u4f7f\u5f97\u77e9\u9635\u64cd\u4f5c\u66f4\u52a0\u4fbf\u6377\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u51e0\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5217\u8868\u7684\u5217\u8868<\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u5217\u8868\u7684\u5217\u8868\u662f\u4e00\u79cd\u7b80\u5355\u76f4\u89c2\u7684\u65b9\u6cd5\u6765\u8868\u793a\u77e9\u9635\u3002\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868\u77e9\u9635\u7684\u4e00\u884c\uff0c\u5b50\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u4ee3\u8868\u77e9\u9635\u4e2d\u7684\u4e00\u4e2a\u5143\u7d20\u3002<\/p>\n<\/p>\n

    \n
  1. \u521b\u5efa\u548c\u8bbf\u95ee\u77e9\u9635<\/strong><\/li>\n<\/ol>\n

    \u8981\u521b\u5efa\u4e00\u4e2a\u77e9\u9635\uff0c\u53ef\u4ee5\u7b80\u5355\u5730\u4f7f\u7528\u5d4c\u5957\u5217\u8868\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a2×3\u7684\u77e9\u9635\u53ef\u4ee5\u8868\u793a\u4e3a\uff1a<\/p>\n<\/p>\n

    matrix = [<\/p>\n
        [1, 2, 3],<\/p>\n
        [4, 5, 6]<\/p>\n
    ]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8bbf\u95ee\u77e9\u9635\u4e2d\u7684\u5143\u7d20\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u53cc\u91cd\u7d22\u5f15\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
    element = matrix[0][1]  # \u8bbf\u95ee\u7b2c\u4e00\u884c\u7b2c\u4e8c\u4e2a\u5143\u7d20\uff0c\u8f93\u51fa\u4e3a2<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u64cd\u4f5c\u77e9\u9635<\/strong><\/li>\n<\/ol>\n
      \u4f7f\u7528\u5217\u8868\u7684\u5217\u8868\u8868\u793a\u77e9\u9635\uff0c\u53ef\u4ee5\u8fdb\u884c\u57fa\u672c\u7684\u77e9\u9635\u64cd\u4f5c\uff0c\u5982\u904d\u5386\u3001\u4fee\u6539\u3001\u63d2\u5165\u548c\u5220\u9664\u5143\u7d20\u3002\u904d\u5386\u77e9\u9635\u4e2d\u7684\u5143\u7d20\u53ef\u4ee5\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\uff1a<\/p>\n<\/p>\n
      for row in matrix:<\/p>\n
          for element in row:<\/p>\n
              print(element)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u7136\u800c\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5728\u8fdb\u884c\u590d\u6742\u7684\u77e9\u9635\u8fd0\u7b97\u65f6\u663e\u5f97\u4e0d\u591f\u7b80\u6d01\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001NumPy\u5e93<\/p>\n<\/p>\n
      NumPy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u4e00\u7cfb\u5217\u7528\u4e8e\u64cd\u4f5c\u6570\u7ec4\u7684\u51fd\u6570\u3002\u5b83\u662f\u6570\u503c\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u77e9\u9635\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5\u548c\u5bfc\u5165NumPy<\/strong><\/li>\n<\/ol>\n
        \u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
        pip install numpy<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u7136\u540e\u5728Python\u4ee3\u7801\u4e2d\u5bfc\u5165NumPy\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u521b\u5efaNumPy\u77e9\u9635<\/strong><\/li>\n<\/ol>\n
          NumPy\u4e2d\u77e9\u9635\u53ef\u4ee5\u901a\u8fc7numpy.array()<\/code>\u51fd\u6570\u521b\u5efa\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          matrix = np.array([<\/p>\n
              [1, 2, 3],<\/p>\n
              [4, 5, 6]<\/p>\n
          ])<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u77e9\u9635\u8fd0\u7b97<\/strong><\/li>\n<\/ol>\n
            NumPy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u77e9\u9635\u8fd0\u7b97\u529f\u80fd\uff0c\u5982\u77e9\u9635\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u3001\u8f6c\u7f6e\u7b49\uff1a<\/p>\n<\/p>\n