{"id":1131168,"date":"2025-01-08T20:46:19","date_gmt":"2025-01-08T12:46:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1131168.html"},"modified":"2025-01-08T20:46:23","modified_gmt":"2025-01-08T12:46:23","slug":"python%e5%a6%82%e4%bd%95%e9%81%8d%e5%8e%86%e4%b8%80%e4%b8%aa%e4%ba%8c%e7%bb%b4%e5%88%97%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1131168.html","title":{"rendered":"python\u5982\u4f55\u904d\u5386\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868"},"content":{"rendered":"

\"python\u5982\u4f55\u904d\u5386\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868\"<\/p>\n

\u5728Python\u4e2d\u904d\u5386\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528itertools\u6a21\u5757\u7684chAI<\/a>n\u51fd\u6570\u3001\u4f7f\u7528numpy\u6570\u7ec4\u3002<\/strong>\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\uff0c\u56e0\u4e3a\u5b83\u7b80\u5355\u76f4\u89c2\uff0c\u5bb9\u6613\u7406\u89e3\u548c\u4f7f\u7528\u3002<\/p>\n<\/p>\n

\u8ba9\u6211\u4eec\u8be6\u7ec6\u63a2\u8ba8\u5176\u4e2d\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u3002\u5d4c\u5957\u7684for\u5faa\u73af\u975e\u5e38\u9002\u5408\u5904\u7406\u5d4c\u5957\u7684\u6570\u636e\u7ed3\u6784\uff0c\u6bd4\u5982\u4e8c\u7ef4\u5217\u8868\u3002\u901a\u8fc7\u9010\u5c42\u6df1\u5165\u6bcf\u4e00\u5c42\u5217\u8868\uff0c\u80fd\u591f\u8f7b\u677e\u904d\u5386\u5e76\u5904\u7406\u6bcf\u4e00\u4e2a\u5143\u7d20\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

# \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/p>\n
matrix = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
for row in matrix:<\/p>\n
    for element in row:<\/p>\n
        print(element)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u5916\u5c42for\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u800c\u5185\u5c42for\u5faa\u73af\u904d\u5386\u884c\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u5bf9\u6574\u4e2a\u4e8c\u7ef4\u5217\u8868\u7684\u904d\u5386\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af<\/h3>\n<\/p>\n
\u5d4c\u5957\u7684for\u5faa\u73af\u662f\u4e00\u79cd\u904d\u5386\u4e8c\u7ef4\u5217\u8868\u7684\u57fa\u7840\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u573a\u666f\u3002\u5916\u5c42\u5faa\u73af\u904d\u5386\u5217\u8868\u4e2d\u7684\u6bcf\u4e00\u884c\uff08\u6bcf\u4e2a\u5b50\u5217\u8868\uff09\uff0c\u5185\u5c42\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u884c\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\u53ca\u5176\u4f18\u70b9<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/p>\n
matrix = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
for row in matrix:<\/p>\n
    for element in row:<\/p>\n
        print(element)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u7684\u4e3b\u8981\u4f18\u70b9\u5305\u62ec\uff1a<\/p>\n<\/p>\n
    \n
  1. \u76f4\u89c2\u6613\u61c2<\/strong>\uff1a\u4ee3\u7801\u975e\u5e38\u76f4\u89c2\uff0c\u5bb9\u6613\u7406\u89e3\uff0c\u9002\u5408\u521d\u5b66\u8005\u3002<\/li>\n
  2. \u9002\u7528\u6027\u5f3a<\/strong>\uff1a\u9002\u7528\u4e8e\u4efb\u4f55\u5f62\u72b6\u548c\u5927\u5c0f\u7684\u4e8c\u7ef4\u5217\u8868\u3002<\/li>\n
  3. \u7075\u6d3b\u6027\u9ad8<\/strong>\uff1a\u53ef\u4ee5\u5728\u5185\u5c42\u5faa\u73af\u4e2d\u6dfb\u52a0\u4efb\u4f55\u5904\u7406\u903b\u8f91\uff0c\u4f8b\u5982\u5bf9\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u64cd\u4f5c\u6216\u6761\u4ef6\u5224\u65ad\u3002<\/li>\n<\/ol>\n
    \u6027\u80fd\u4e0e\u5c40\u9650\u6027<\/h4>\n<\/p>\n
    \u867d\u7136\u5d4c\u5957\u7684for\u5faa\u73af\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u6027\u80fd\u826f\u597d\uff0c\u4f46\u5728\u5904\u7406\u975e\u5e38\u5927\u7684\u4e8c\u7ef4\u5217\u8868\u65f6\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6027\u80fd\u74f6\u9888\u3002\u6b64\u5916\uff0c\u5d4c\u5957\u7684for\u5faa\u73af\u4ee3\u7801\u8f83\u4e3a\u5197\u957f\uff0c\u4e0d\u9002\u5408\u7528\u4e8e\u9700\u8981\u7b80\u6d01\u4ee3\u7801\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f<\/h3>\n<\/p>\n
    \u5217\u8868\u63a8\u5bfc\u5f0f\u662f\u4e00\u79cd\u7b80\u6d01\u4e14\u9ad8\u6548\u7684\u904d\u5386\u4e8c\u7ef4\u5217\u8868\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u53ef\u4ee5\u5728\u4e00\u884c\u4ee3\u7801\u4e2d\u5b8c\u6210\u5bf9\u4e8c\u7ef4\u5217\u8868\u7684\u904d\u5386\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
    \u793a\u4f8b\u4ee3\u7801\u53ca\u5176\u4f18\u70b9<\/h4>\n<\/p>\n
    # \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/p>\n
    matrix = [<\/p>\n
        [1, 2, 3],<\/p>\n
        [4, 5, 6],<\/p>\n
        [7, 8, 9]<\/p>\n
    ]<\/p>\n
    \u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
    flattened_list = [element for row in matrix for element in row]<\/p>\n
    print(flattened_list)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u6cd5\u7684\u4e3b\u8981\u4f18\u70b9\u5305\u62ec\uff1a<\/p>\n<\/p>\n
      \n
    1. \u7b80\u6d01\u9ad8\u6548<\/strong>\uff1a\u4ee3\u7801\u7b80\u6d01\uff0c\u53ea\u9700\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u904d\u5386\u548c\u5904\u7406\u3002<\/li>\n
    2. \u6613\u8bfb\u6027\u597d<\/strong>\uff1a\u5bf9\u4e8e\u719f\u6089\u5217\u8868\u63a8\u5bfc\u5f0f\u7684\u5f00\u53d1\u8005\u800c\u8a00\uff0c\u4ee3\u7801\u6613\u4e8e\u9605\u8bfb\u548c\u7406\u89e3\u3002<\/li>\n
    3. \u5185\u5b58\u6548\u7387\u9ad8<\/strong>\uff1a\u76f8\u6bd4\u4f7f\u7528\u4e2d\u95f4\u53d8\u91cf\uff0c\u5217\u8868\u63a8\u5bfc\u5f0f\u901a\u5e38\u5177\u6709\u66f4\u9ad8\u7684\u5185\u5b58\u6548\u7387\u3002<\/li>\n<\/ol>\n
      \u6027\u80fd\u4e0e\u5c40\u9650\u6027<\/h4>\n<\/p>\n
      \u5217\u8868\u63a8\u5bfc\u5f0f\u5728\u5904\u7406\u4e2d\u5c0f\u578b\u4e8c\u7ef4\u5217\u8868\u65f6\u6027\u80fd\u4f18\u8d8a\uff0c\u4f46\u5728\u5904\u7406\u975e\u5e38\u5927\u7684\u4e8c\u7ef4\u5217\u8868\u65f6\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5185\u5b58\u4f7f\u7528\u8fc7\u591a\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u4e0d\u719f\u6089\u5217\u8868\u63a8\u5bfc\u5f0f\u7684\u5f00\u53d1\u8005\u800c\u8a00\uff0c\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u53ef\u80fd\u8f83\u5dee\u3002<\/p>\n<\/p>\n
      \u4e09\u3001\u4f7f\u7528itertools.chain\u51fd\u6570<\/h3>\n<\/p>\n
      itertools.chain\u51fd\u6570\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u5c06\u591a\u4e2a\u8fed\u4ee3\u5668\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9\u4e8c\u7ef4\u5217\u8868\u7684\u904d\u5386\u3002<\/p>\n<\/p>\n
      \u793a\u4f8b\u4ee3\u7801\u53ca\u5176\u4f18\u70b9<\/h4>\n<\/p>\n
      import itertools<\/p>\n
      \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
      matrix = [<\/p>\n
          [1, 2, 3],<\/p>\n
          [4, 5, 6],<\/p>\n
          [7, 8, 9]<\/p>\n
      ]<\/p>\n
      \u4f7f\u7528itertools.chain\u51fd\u6570\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
      flattened_list = list(itertools.chain(*matrix))<\/p>\n
      print(flattened_list)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u7684\u4e3b\u8981\u4f18\u70b9\u5305\u62ec\uff1a<\/p>\n<\/p>\n
        \n
      1. \u9ad8\u6548<\/strong>\uff1aitertools\u6a21\u5757\u4e13\u4e3a\u9ad8\u6548\u5904\u7406\u8fed\u4ee3\u5668\u8bbe\u8ba1\uff0c\u6027\u80fd\u4f18\u5f02\u3002<\/li>\n
      2. \u7b80\u6d01<\/strong>\uff1a\u4ee3\u7801\u7b80\u6d01\u660e\u4e86\uff0c\u6613\u4e8e\u7406\u89e3\u3002<\/li>\n
      3. \u5185\u5b58\u4f7f\u7528\u5408\u7406<\/strong>\uff1aitertools.chain\u6309\u9700\u751f\u6210\u5143\u7d20\uff0c\u907f\u514d\u4e86\u4e0d\u5fc5\u8981\u7684\u5185\u5b58\u5360\u7528\u3002<\/li>\n<\/ol>\n
        \u6027\u80fd\u4e0e\u5c40\u9650\u6027<\/h4>\n<\/p>\n
        itertools.chain\u51fd\u6570\u5728\u5904\u7406\u975e\u5e38\u5927\u7684\u4e8c\u7ef4\u5217\u8868\u65f6\u6027\u80fd\u4f18\u8d8a\uff0c\u4f46\u5176\u7528\u6cd5\u76f8\u5bf9\u8f83\u4e3a\u590d\u6742\uff0c\u5bf9\u4e8e\u4e0d\u719f\u6089itertools\u6a21\u5757\u7684\u5f00\u53d1\u8005\u800c\u8a00\uff0c\u53ef\u80fd\u9700\u8981\u4e00\u5b9a\u7684\u5b66\u4e60\u6210\u672c\u3002<\/p>\n<\/p>\n
        \u56db\u3001\u4f7f\u7528numpy\u6570\u7ec4<\/h3>\n<\/p>\n
        numpy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\u3002\u901a\u8fc7numpy\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u904d\u5386\u548c\u5904\u7406\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
        \u793a\u4f8b\u4ee3\u7801\u53ca\u5176\u4f18\u70b9<\/h4>\n<\/p>\n
        import numpy as np<\/p>\n
        \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
        matrix = [<\/p>\n
            [1, 2, 3],<\/p>\n
            [4, 5, 6],<\/p>\n
            [7, 8, 9]<\/p>\n
        ]<\/p>\n
        \u5c06\u4e8c\u7ef4\u5217\u8868\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/strong><\/h2>\n
        np_matrix = np.array(matrix)<\/p>\n
        \u4f7f\u7528numpy\u904d\u5386\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
        for element in np.nditer(np_matrix):<\/p>\n
            print(element)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u65b9\u6cd5\u7684\u4e3b\u8981\u4f18\u70b9\u5305\u62ec\uff1a<\/p>\n<\/p>\n
          \n
        1. \u9ad8\u6548<\/strong>\uff1anumpy\u9488\u5bf9\u591a\u7ef4\u6570\u7ec4\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u6027\u80fd\u4f18\u8d8a\u3002<\/li>\n
        2. \u529f\u80fd\u4e30\u5bcc<\/strong>\uff1anumpy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u9002\u5408\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u9700\u6c42\u3002<\/li>\n
        3. \u517c\u5bb9\u6027\u597d<\/strong>\uff1a\u4e0e\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\uff08\u5982pandas\u3001scipy\uff09\u517c\u5bb9\u6027\u597d\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u5206\u6790\u3002<\/li>\n<\/ol>\n
          \u6027\u80fd\u4e0e\u5c40\u9650\u6027<\/h4>\n<\/p>\n
          numpy\u5728\u5904\u7406\u5927\u89c4\u6a21\u4e8c\u7ef4\u6570\u7ec4\u65f6\u6027\u80fd\u4f18\u8d8a\uff0c\u4f46\u5176\u5b66\u4e60\u66f2\u7ebf\u8f83\u9661\uff0c\u9700\u8981\u4e00\u5b9a\u7684\u5b66\u4e60\u6210\u672c\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u7b80\u5355\u7684\u4e8c\u7ef4\u5217\u8868\u5904\u7406\uff0c\u4f7f\u7528numpy\u53ef\u80fd\u663e\u5f97\u6709\u4e9b\u8fc7\u4e8e\u590d\u6742\u3002<\/p>\n<\/p>\n
          \u4e94\u3001\u5b9e\u9645\u5e94\u7528\u573a\u666f\u4e0e\u6700\u4f73\u5b9e\u8df5<\/h3>\n<\/p>\n
          \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u904d\u5386\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u53ca\u5176\u6700\u4f73\u5b9e\u8df5\uff1a<\/p>\n<\/p>\n
          \u6570\u636e\u5904\u7406\u4e0e\u5206\u6790<\/h4>\n<\/p>\n
          \u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u573a\u666f\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u9ad8\u6548\u904d\u5386\u548c\u5904\u7406\u5927\u89c4\u6a21\u4e8c\u7ef4\u6570\u636e\u3002\u6b64\u65f6\uff0c\u63a8\u8350\u4f7f\u7528numpy<\/strong>\uff0c\u56e0\u4e3a\u5176\u6027\u80fd\u4f18\u8d8a\uff0c\u4e14\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          import numpy as np<\/p>\n
          \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
          matrix = [<\/p>\n
              [1, 2, 3],<\/p>\n
              [4, 5, 6],<\/p>\n
              [7, 8, 9]<\/p>\n
          ]<\/p>\n
          \u5c06\u4e8c\u7ef4\u5217\u8868\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/strong><\/h2>\n
          np_matrix = np.array(matrix)<\/p>\n
          \u8ba1\u7b97\u6bcf\u884c\u7684\u5e73\u5747\u503c<\/strong><\/h2>\n
          row_means = np.mean(np_matrix, axis=1)<\/p>\n
          print(row_means)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u7b80\u5355\u904d\u5386\u4e0e\u5904\u7406<\/h4>\n<\/p>\n
          \u5bf9\u4e8e\u7b80\u5355\u7684\u904d\u5386\u548c\u5904\u7406\u9700\u6c42\uff0c\u63a8\u8350\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af<\/strong>\u6216\u5217\u8868\u63a8\u5bfc\u5f0f<\/strong>\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5\u4ee3\u7801\u7b80\u6d01\uff0c\u6613\u4e8e\u7406\u89e3\uff0c\u9002\u5408\u5904\u7406\u8f83\u5c0f\u89c4\u6a21\u7684\u4e8c\u7ef4\u5217\u8868\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          # \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/p>\n
          matrix = [<\/p>\n
              [1, 2, 3],<\/p>\n
              [4, 5, 6],<\/p>\n
              [7, 8, 9]<\/p>\n
          ]<\/p>\n
          \u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
          for row in matrix:<\/p>\n
              for element in row:<\/p>\n
                  print(element)<\/p>\n
          \u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
          flattened_list = [element for row in matrix for element in row]<\/p>\n
          print(flattened_list)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5927\u89c4\u6a21\u6570\u636e\u5904\u7406<\/h4>\n<\/p>\n
          \u5728\u5904\u7406\u5927\u89c4\u6a21\u4e8c\u7ef4\u6570\u636e\u65f6\uff0c\u63a8\u8350\u4f7f\u7528itertools.chain\u51fd\u6570<\/strong>\uff0c\u56e0\u4e3a\u5176\u9ad8\u6548\u4e14\u5185\u5b58\u4f7f\u7528\u5408\u7406\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          import itertools<\/p>\n
          \u793a\u4f8b\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
          matrix = [<\/p>\n
              [1, 2, 3],<\/p>\n
              [4, 5, 6],<\/p>\n
              [7, 8, 9]<\/p>\n
          ]<\/p>\n
          \u4f7f\u7528itertools.chain\u51fd\u6570\u904d\u5386\u4e8c\u7ef4\u5217\u8868<\/strong><\/h2>\n
          flattened_list = list(itertools.chain(*matrix))<\/p>\n
          print(flattened_list)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
          \u5728Python\u4e2d\u904d\u5386\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\u9009\u62e9\uff0c\u4e3b\u8981\u5305\u62ec\u5d4c\u5957\u7684for\u5faa\u73af<\/strong>\u3001\u5217\u8868\u63a8\u5bfc\u5f0f<\/strong>\u3001itertools.chain\u51fd\u6570<\/strong>\u548cnumpy\u6570\u7ec4<\/strong>\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u70b9\u548c\u5c40\u9650\u6027\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n
          \u5bf9\u4e8e\u7b80\u5355\u7684\u904d\u5386\u548c\u5904\u7406\u9700\u6c42\uff0c\u5d4c\u5957\u7684for\u5faa\u73af<\/strong>\u548c\u5217\u8868\u63a8\u5bfc\u5f0f<\/strong>\u662f\u8f83\u597d\u7684\u9009\u62e9\uff0c\u4ee3\u7801\u7b80\u6d01\uff0c\u6613\u4e8e\u7406\u89e3\u3002\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0citertools.chain\u51fd\u6570<\/strong>\u548cnumpy\u6570\u7ec4<\/strong>\u5177\u6709\u66f4\u9ad8\u7684\u6027\u80fd\u548c\u5185\u5b58\u6548\u7387\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n
          \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u3001\u6570\u636e\u89c4\u6a21\u548c\u5f00\u53d1\u8005\u7684\u719f\u6089\u7a0b\u5ea6\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u548c\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u904d\u5386\u548c\u5904\u7406\u4e8c\u7ef4\u5217\u8868\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u6027\u80fd\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
          \u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u7406\u89e3\u548c\u638c\u63e1Python\u4e2d\u904d\u5386\u4e8c\u7ef4\u5217\u8868\u7684\u65b9\u6cd5\u6709\u6240\u5e2e\u52a9\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u7591\u95ee\u6216\u5efa\u8bae\uff0c\u6b22\u8fce\u5728\u4e0b\u65b9\u7559\u8a00\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u4e2d\u9ad8\u6548\u904d\u5386\u4e8c\u7ef4\u5217\u8868\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u904d\u5386\u4e8c\u7ef4\u5217\u8868\u53ef\u4ee5\u4f7f\u7528\u5d4c\u5957\u5faa\u73af\u7684\u65b9\u5f0f\u3002\u5916\u5c42\u5faa\u73af\u7528\u4e8e\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5185\u5c42\u5faa\u73af\u5219\u7528\u4e8e\u904d\u5386\u6bcf\u4e00\u884c\u4e2d\u7684\u5143\u7d20\u3002\u4f8b\u5982\uff1a  <\/p>\n
          matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\nfor row in matrix:\n    for element in row:\n        print(element)\n<\/code><\/pre>\n
          \u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u660e\u4e86\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u5c0f\u578b\u4e8c\u7ef4\u5217\u8868\u3002<\/p>\n
          \u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6765\u904d\u5386\u4e8c\u7ef4\u5217\u8868\uff1f<\/strong>
          \u786e\u5b9e\u53ef\u4ee5\uff0c\u5217\u8868\u63a8\u5bfc\u5f0f\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u6d01\u7684\u65b9\u5f0f\u6765\u904d\u5386\u548c\u5904\u7406\u4e8c\u7ef4\u5217\u8868\u3002\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u53ef\u4ee5\u5728\u4e00\u884c\u4ee3\u7801\u4e2d\u5b8c\u6210\u904d\u5386\u548c\u64cd\u4f5c\uff0c\u4f8b\u5982\uff1a  <\/p>\n
          flattened = [element for row in matrix for element in row]\n<\/code><\/pre>\n
          \u8fd9\u6bb5\u4ee3\u7801\u5c06\u4e8c\u7ef4\u5217\u8868\u8f6c\u6362\u4e3a\u4e00\u7ef4\u5217\u8868\uff0c\u9002\u5408\u9700\u8981\u5feb\u901f\u5904\u7406\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n
          \u5728\u904d\u5386\u4e8c\u7ef4\u5217\u8868\u65f6\u5982\u4f55\u5904\u7406\u7a7a\u503c\u6216\u7f3a\u5931\u503c\uff1f<\/strong>
          \u5728\u904d\u5386\u8fc7\u7a0b\u4e2d\uff0c\u5904\u7406\u7a7a\u503c\u6216\u7f3a\u5931\u503c\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u8bed\u53e5\u8fdb\u884c\u8fc7\u6ee4\u3002\u4f8b\u5982\uff1a  <\/p>\n
          for row in matrix:\n    for element in row:\n        if element is not None:\n            print(element)\n<\/code><\/pre>\n
          \u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u786e\u4fdd\u5728\u8f93\u51fa\u65f6\u53ea\u5904\u7406\u6709\u6548\u7684\u6570\u636e\uff0c\u907f\u514d\u7a0b\u5e8f\u56e0\u7a7a\u503c\u800c\u51fa\u9519\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u904d\u5386\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528\u5d4c\u5957\u7684for\u5faa\u73af\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528itertools\u6a21\u5757 […]","protected":false},"author":3,"featured_media":1131179,"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\/1131168"}],"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=1131168"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1131168\/revisions"}],"predecessor-version":[{"id":1131183,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1131168\/revisions\/1131183"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1131179"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1131168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1131168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1131168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}