{"id":965120,"date":"2024-12-27T04:34:53","date_gmt":"2024-12-26T20:34:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/965120.html"},"modified":"2024-12-27T04:34:56","modified_gmt":"2024-12-26T20:34:56","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%86%99%e5%85%a5%e6%95%b0%e7%bb%84","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/965120.html","title":{"rendered":"\u5982\u4f55\u7528Python\u5199\u5165\u6570\u7ec4"},"content":{"rendered":"

\"\u5982\u4f55\u7528Python\u5199\u5165\u6570\u7ec4\"<\/p>\n

\u7528Python\u5199\u5165\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5982\u4f7f\u7528\u5217\u8868(List)\u3001NumPy\u5e93\u3001\u6570\u7ec4(Array)\u6a21\u5757\u7b49\u3002<\/strong> \u5728Python\u4e2d\uff0c\u6570\u7ec4\u5e76\u4e0d\u50cf\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00\u4e2d\u90a3\u6837\u662f\u4e00\u4e2a\u72ec\u7acb\u7684\u6570\u636e\u7ed3\u6784\uff0c\u800c\u662f\u901a\u8fc7\u5217\u8868\u548c\u7b2c\u4e09\u65b9\u5e93\u5b9e\u73b0\u7684\u3002\u5217\u8868\u662f\u6700\u5e38\u7528\u7684\u65b9\u5f0f\uff0c\u56e0\u4e3a\u5b83\u4eec\u5185\u7f6e\u4e8ePython\u4e2d\u5e76\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/strong> \u5728\u4ee5\u4e0b\u5185\u5bb9\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u521b\u5efa\u548c\u64cd\u4f5c\u6570\u7ec4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5217\u8868\uff08List\uff09<\/p>\n<\/p>\n

Python\u7684\u5217\u8868\u662f\u6700\u5e38\u89c1\u7684\u7528\u4e8e\u5b58\u50a8\u6570\u7ec4\u6570\u636e\u7684\u7ed3\u6784\u3002\u5b83\u4eec\u662f\u52a8\u6001\u7684\uff0c\u53ef\u4ee5\u5b58\u50a8\u4e0d\u540c\u7c7b\u578b\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n

    \n
  1. \u521b\u5efa\u548c\u521d\u59cb\u5316\u5217\u8868<\/strong><\/li>\n<\/ol>\n

    \u8981\u521b\u5efa\u4e00\u4e2a\u5217\u8868\uff0c\u53ea\u9700\u4f7f\u7528\u65b9\u62ec\u53f7[]<\/code>\u5e76\u5728\u5176\u4e2d\u5b9a\u4e49\u5143\u7d20\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    my_list = [1, 2, 3, 4, 5]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5217\u8868\u662f\u52a8\u6001\u7684\uff0c\u8fd9\u610f\u5473\u7740\u53ef\u4ee5\u5728\u8fd0\u884c\u65f6\u66f4\u6539\u5176\u5927\u5c0f\u3002\u53ef\u4ee5\u901a\u8fc7append()<\/code>\u65b9\u6cd5\u5411\u5217\u8868\u6dfb\u52a0\u65b0\u5143\u7d20\uff1a<\/p>\n<\/p>\n
    my_list.append(6)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u8bbf\u95ee\u548c\u4fee\u6539\u5217\u8868\u4e2d\u7684\u5143\u7d20<\/strong><\/li>\n<\/ol>\n
      \u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\u548c\u4fee\u6539\u5217\u8868\u4e2d\u7684\u5143\u7d20\u3002\u8bf7\u6ce8\u610f\uff0cPython\u7684\u7d22\u5f15\u4ece0\u5f00\u59cb\uff1a<\/p>\n<\/p>\n
      print(my_list[0])  # \u8f93\u51fa 1<\/p>\n
      my_list[0] = 10   # \u4fee\u6539\u7b2c\u4e00\u4e2a\u5143\u7d20<\/p>\n
      print(my_list)    # \u8f93\u51fa [10, 2, 3, 4, 5, 6]<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u5217\u8868\u7684\u5176\u4ed6\u64cd\u4f5c<\/strong><\/li>\n<\/ol>\n
        Python\u63d0\u4f9b\u4e86\u8bb8\u591a\u5185\u7f6e\u7684\u65b9\u6cd5\u7528\u4e8e\u64cd\u4f5c\u5217\u8868\uff0c\u4f8b\u5982insert()<\/code>\u3001remove()<\/code>\u3001pop()<\/code>\u3001sort()<\/code>\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
        my_list.insert(1, 15)  # \u5728\u7d22\u5f151\u7684\u4f4d\u7f6e\u63d2\u516515<\/p>\n
        my_list.remove(4)      # \u79fb\u9664\u7b2c\u4e00\u6b21\u51fa\u73b0\u76844<\/p>\n
        popped_element = my_list.pop()  # \u5220\u9664\u5e76\u8fd4\u56de\u5217\u8868\u7684\u6700\u540e\u4e00\u4e2a\u5143\u7d20<\/p>\n
        my_list.sort()         # \u5bf9\u5217\u8868\u8fdb\u884c\u6392\u5e8f<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528NumPy\u5e93<\/p>\n<\/p>\n
        NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4e13\u7528\u7684ndarray<\/code>\u5bf9\u8c61\uff0c\u6bd4Python\u5185\u7f6e\u7684\u5217\u8868\u66f4\u9ad8\u6548\u3002<\/p>\n<\/p>\n
          \n
        1. \u5b89\u88c5\u548c\u5bfc\u5165NumPy<\/strong><\/li>\n<\/ol>\n
          \u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5NumPy\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
          pip install numpy<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165NumPy\uff1a<\/p>\n<\/p>\n
          import numpy as np<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u521b\u5efaNumPy\u6570\u7ec4<\/strong><\/li>\n<\/ol>\n
            NumPy\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u521b\u5efa\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528array()<\/code>\u51fd\u6570\u4ece\u5217\u8868\u521b\u5efa\u6570\u7ec4\uff1a<\/p>\n<\/p>\n
            np_array = np.array([1, 2, 3, 4, 5])<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            NumPy\u63d0\u4f9b\u4e86\u5176\u4ed6\u521b\u5efa\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u5982zeros()<\/code>\u3001ones()<\/code>\u3001arange()<\/code>\u548clinspace()<\/code>\u7b49\uff1a<\/p>\n<\/p>\n
            zeros_array = np.zeros(5)   # \u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a0\u7684\u6570\u7ec4<\/p>\n
            ones_array = np.ones((2, 3))  # \u521b\u5efa\u4e00\u4e2a2x3\u7684\u6570\u7ec4\uff0c\u6240\u6709\u5143\u7d20\u4e3a1<\/p>\n
            arange_array = np.arange(0, 10, 2)  # \u521b\u5efa\u4e00\u4e2a\u6570\u7ec4\u4ece0\u523010\uff0c\u6b65\u957f\u4e3a2<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. NumPy\u6570\u7ec4\u7684\u64cd\u4f5c<\/strong><\/li>\n<\/ol>\n
              NumPy\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u65b9\u6cd5\u7528\u4e8e\u64cd\u4f5c\u6570\u7ec4\uff0c\u5305\u62ec\u5143\u7d20\u8bbf\u95ee\u3001\u5207\u7247\u3001\u5f62\u72b6\u64cd\u4f5c\u548c\u6570\u5b66\u8fd0\u7b97\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
              # \u8bbf\u95ee\u5143\u7d20<\/p>\n
              print(np_array[0])  # \u8f93\u51fa 1<\/p>\n
              \u4fee\u6539\u5143\u7d20<\/strong><\/h2>\n
              np_array[0] = 10<\/p>\n
              print(np_array)  # \u8f93\u51fa [10  2  3  4  5]<\/p>\n
              \u6570\u7ec4\u5207\u7247<\/strong><\/h2>\n
              sub_array = np_array[1:4]<\/p>\n
              print(sub_array)  # \u8f93\u51fa [2 3 4]<\/p>\n
              \u6570\u7ec4\u5f62\u72b6<\/strong><\/h2>\n
              reshaped_array = np_array.reshape((5, 1))  # \u6539\u53d8\u6570\u7ec4\u5f62\u72b6\u4e3a5\u884c1\u5217<\/p>\n
              \u6570\u5b66\u8fd0\u7b97<\/strong><\/h2>\n
              sum_of_elements = np_array.sum()  # \u6570\u7ec4\u5143\u7d20\u6c42\u548c<\/p>\n
              mean_of_elements = np_array.mean()  # \u6570\u7ec4\u5143\u7d20\u5e73\u5747\u503c<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u4e09\u3001\u4f7f\u7528\u6570\u7ec4\u6a21\u5757<\/p>\n<\/p>\n
              Python\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2aarray<\/code>\u6a21\u5757\uff0c\u7528\u4e8e\u521b\u5efa\u548c\u64cd\u4f5c\u57fa\u672c\u7684\u6570\u7ec4\u6570\u636e\u7ed3\u6784\u3002\u4f46\u4e0eNumPy\u76f8\u6bd4\uff0c\u5b83\u7684\u529f\u80fd\u8f83\u4e3a\u6709\u9650\uff0c\u901a\u5e38\u7528\u4e8e\u5904\u7406\u7b80\u5355\u7684\u6570\u503c\u6570\u7ec4\u3002<\/p>\n<\/p>\n
                \n
              1. \u5bfc\u5165\u548c\u521b\u5efa\u6570\u7ec4<\/strong><\/li>\n<\/ol>\n
                \u9996\u5148\u5bfc\u5165\u6570\u7ec4\u6a21\u5757\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4\u3002\u9700\u8981\u6307\u5b9a\u6570\u7ec4\u7684\u7c7b\u578b\u4ee3\u7801\uff08\u5982'i'\u8868\u793a\u6574\u6570\uff09\uff1a<\/p>\n<\/p>\n
                from array import array<\/p>\n
                int_array = array('i', [1, 2, 3, 4, 5])<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u6570\u7ec4\u64cd\u4f5c<\/strong><\/li>\n<\/ol>\n
                  \u4e0e\u5217\u8868\u7c7b\u4f3c\uff0c\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u5143\u7d20\uff1a<\/p>\n<\/p>\n
                  print(int_array[0])  # \u8f93\u51fa 1<\/p>\n
                  int_array[0] = 10<\/p>\n
                  print(int_array)     # \u8f93\u51fa array('i', [10, 2, 3, 4, 5])<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u53ef\u4ee5\u4f7f\u7528append()<\/code>\u65b9\u6cd5\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\uff0c\u4f46\u6570\u7ec4\u4e0d\u652f\u6301\u76f4\u63a5\u6dfb\u52a0\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
                  int_array.append(6)<\/p>\n
                  print(int_array)  # \u8f93\u51fa array('i', [10, 2, 3, 4, 5, 6])<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
                  \u5728\u9009\u62e9\u5982\u4f55\u4f7f\u7528Python\u5199\u5165\u6570\u7ec4\u65f6\uff0c\u4e3b\u8981\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u9700\u6c42\uff1a<\/p>\n<\/p>\n
                    \n
                  • \u4f7f\u7528\u5217\u8868\uff08List\uff09<\/strong>\uff1a\u9002\u7528\u4e8e\u4e00\u822c\u7528\u9014\uff0c\u65b9\u4fbf\u7075\u6d3b\uff0c\u652f\u6301\u5b58\u50a8\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u3002<\/li>\n
                  • \u4f7f\u7528NumPy\u5e93<\/strong>\uff1a\u9002\u5408\u9700\u8981\u9ad8\u6027\u80fd\u6570\u503c\u8ba1\u7b97\u7684\u573a\u666f\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u79d1\u5b66\u8ba1\u7b97\u529f\u80fd\u3002<\/li>\n
                  • \u4f7f\u7528\u6570\u7ec4\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u503c\u6570\u7ec4\u64cd\u4f5c\uff0c\u4f46\u529f\u80fd\u8f83\u4e3a\u6709\u9650\u3002<\/li>\n<\/ul>\n
                    \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                    Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u521b\u5efa\u548c\u64cd\u4f5c\u6570\u7ec4\uff0c\u4ece\u5185\u7f6e\u7684\u5217\u8868\u5230\u5f3a\u5927\u7684NumPy\u5e93\uff0c\u518d\u5230\u7b80\u5355\u7684\u6570\u7ec4\u6a21\u5757\u3002\u6839\u636e\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5904\u7406\u548c\u64cd\u4f5c\u6570\u7ec4\u6570\u636e\u3002\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u80fd\u591f\u5728Python\u7f16\u7a0b\u4e2d\u7075\u6d3b\u5730\u5904\u7406\u5404\u7c7b\u6570\u7ec4\u64cd\u4f5c\u9700\u6c42\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u5217\u8868\u64cd\u4f5c\uff0c\u8fd8\u662f\u590d\u6742\u7684\u6570\u503c\u8ba1\u7b97\uff0cPython\u90fd\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n
                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                     \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u548c\u64cd\u4f5c\u6570\u7ec4\uff1f<\/strong>
                    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u5217\u8868\uff08list\uff09\u6216NumPy\u5e93\u6765\u521b\u5efa\u548c\u64cd\u4f5c\u6570\u7ec4\u3002\u5217\u8868\u662fPython\u7684\u57fa\u672c\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u5b58\u50a8\u4efb\u610f\u7c7b\u578b\u7684\u5143\u7d20\u3002NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u7684\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u8981\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u65b9\u5f0f\uff1a  <\/p>\n
                      \n
                    • \u4f7f\u7528\u5217\u8868\uff1amy_array = [1, 2, 3, 4, 5]<\/code>  <\/li>\n
                    • \u4f7f\u7528NumPy\uff1aimport numpy as np<\/code> \u548c my_array = np.array([1, 2, 3, 4, 5])<\/code><\/li>\n<\/ul>\n
                      \u5982\u4f55\u5411Python\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\uff1f<\/strong>
                      \u5411Python\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u60a8\u4f7f\u7528\u7684\u6570\u7ec4\u7c7b\u578b\u3002\u5bf9\u4e8e\u5217\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528append()<\/code>\u65b9\u6cd5\u6216extend()<\/code>\u65b9\u6cd5\u3002\u4f8b\u5982\uff1a  <\/p>\n
                        \n
                      • \u4f7f\u7528append()<\/code>\uff1amy_list.append(6)<\/code> \u5c06\u5143\u7d206\u6dfb\u52a0\u5230\u5217\u8868\u672b\u5c3e\u3002  <\/li>\n
                      • \u4f7f\u7528NumPy\u6570\u7ec4\u65f6\uff0c\u7531\u4e8e\u5176\u5927\u5c0f\u662f\u56fa\u5b9a\u7684\uff0c\u53ef\u4ee5\u4f7f\u7528np.append()<\/code>\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2a\u65b0\u6570\u7ec4\uff0c\u4f8b\u5982\uff1anew_array = np.append(my_array, [6])<\/code>\u3002<\/li>\n<\/ul>\n
                        \u5982\u4f55\u4ecePython\u6570\u7ec4\u4e2d\u5220\u9664\u5143\u7d20\uff1f<\/strong>
                        \u5728Python\u4e2d\u5220\u9664\u5143\u7d20\u7684\u65b9\u6cd5\u4e5f\u56e0\u6570\u7ec4\u7c7b\u578b\u800c\u5f02\u3002\u5bf9\u4e8e\u5217\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528remove()<\/code>\u65b9\u6cd5\u6216pop()<\/code>\u65b9\u6cd5\u3002remove()<\/code>\u65b9\u6cd5\u6839\u636e\u503c\u5220\u9664\u5143\u7d20\uff0c\u800cpop()<\/code>\u5219\u6839\u636e\u7d22\u5f15\u5220\u9664\u5143\u7d20\uff0c\u4f8b\u5982\uff1a  <\/p>\n
                          \n
                        • \u4f7f\u7528remove()<\/code>\uff1amy_list.remove(3)<\/code> \u5c06\u503c\u4e3a3\u7684\u5143\u7d20\u5220\u9664\u3002  <\/li>\n
                        • \u4f7f\u7528pop()<\/code>\uff1amy_list.pop(2)<\/code> \u5220\u9664\u7d22\u5f15\u4e3a2\u7684\u5143\u7d20\u3002\u5bf9\u4e8eNumPy\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u6216np.delete()<\/code>\u51fd\u6570\u6765\u5220\u9664\u5143\u7d20\uff0c\u4f8b\u5982\uff1anew_array = np.delete(my_array, 1)<\/code> \u5220\u9664\u7d22\u5f15\u4e3a1\u7684\u5143\u7d20\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u5199\u5165\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5982\u4f7f\u7528\u5217\u8868(List)\u3001NumPy\u5e93\u3001\u6570\u7ec4(Array)\u6a21\u5757\u7b49\u3002 […]","protected":false},"author":3,"featured_media":965124,"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\/965120"}],"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=965120"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/965120\/revisions"}],"predecessor-version":[{"id":965126,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/965120\/revisions\/965126"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/965124"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=965120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=965120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=965120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}