{"id":1085892,"date":"2025-01-08T13:20:34","date_gmt":"2025-01-08T05:20:34","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1085892.html"},"modified":"2025-01-08T13:20:36","modified_gmt":"2025-01-08T05:20:36","slug":"python%e4%ba%8c%e7%bb%b4%e7%a9%ba%e6%95%b0%e7%bb%84%e5%a6%82%e4%bd%95%e8%b5%8b%e5%80%bc-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1085892.html","title":{"rendered":"python\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5982\u4f55\u8d4b\u503c"},"content":{"rendered":"

\"python\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5982\u4f55\u8d4b\u503c\"<\/p>\n

\u8981\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5e76\u8fdb\u884c\u8d4b\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u3002\u5176\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001NumPy\u5e93\u7b49\u3002\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u7a7a\u6570\u7ec4\u3001\u4f7f\u7528NumPy\u5e93\u3001\u52a8\u6001\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4<\/strong>\u662f\u6700\u5e38\u89c1\u548c\u6709\u6548\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u91cd\u70b9\u4ecb\u7ecd\u5176\u4e2d\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u5e76\u8be6\u7ec6\u8bf4\u660e\u5b83\u7684\u5b9e\u73b0\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u7a7a\u6570\u7ec4<\/strong>\uff1a\u5217\u8868\u63a8\u5bfc\u5f0f\u662fPython\u4e2d\u521b\u5efa\u5217\u8868\u7684\u4e00\u79cd\u7b80\u6d01\u65b9\u6cd5\u3002\u5b83\u4e0d\u4ec5\u4f7f\u4ee3\u7801\u66f4\u7b80\u6d01\uff0c\u800c\u4e14\u5728\u6027\u80fd\u4e0a\u4e5f\u4f18\u4e8e\u4f20\u7edf\u7684for\u5faa\u73af\u3002\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u5e76\u5728\u5176\u4e2d\u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

# \u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u4e00\u4e2a3x3\u7684\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/p>\n
rows, cols = 3, 3<\/p>\n
array = [[None for _ in range(cols)] for _ in range(rows)]<\/p>\n
\u8d4b\u503c\u64cd\u4f5c<\/strong><\/h2>\n
array[0][0] = 1<\/p>\n
array[1][1] = 2<\/p>\n
array[2][2] = 3<\/p>\n
print(array)<\/p>\n
\u8f93\u51fa: [[1, None, None], [None, 2, None], [None, None, 3]]<\/strong><\/h2>\n
<\/code><\/pre>\n<\/p>\n
\u5217\u8868\u63a8\u5bfc\u5f0f\u7684\u4e3b\u8981\u4f18\u52bf\u5728\u4e8e\u5176\u7b80\u5355\u548c\u9ad8\u6548\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u4efb\u610f\u5927\u5c0f\u7684\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u5e76\u5728\u5176\u4e2d\u8fdb\u884c\u4efb\u610f\u7684\u8d4b\u503c\u64cd\u4f5c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4ed6\u51e0\u79cd\u521b\u5efa\u548c\u8d4b\u503c\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/p>\n<\/p>\n
\u5217\u8868\u63a8\u5bfc\u5f0f\u5728Python\u4e2d\u975e\u5e38\u5f3a\u5927\uff0c\u53ef\u4ee5\u7528\u6765\u5feb\u901f\u521b\u5efa\u4e00\u4e2a\u591a\u7ef4\u5217\u8868\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5e76\u8fdb\u884c\u8d4b\u503c\u7684\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
    \n
  1. \u5b9a\u4e49\u6570\u7ec4\u7684\u884c\u548c\u5217<\/strong>\uff1a\u9996\u5148\u9700\u8981\u5b9a\u4e49\u6570\u7ec4\u7684\u884c\u6570\u548c\u5217\u6570\uff0c\u4f8b\u5982rows = 3, cols = 3<\/code>\u3002<\/li>\n
  2. \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong>\uff1a\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u4f8b\u5982array = [[None for _ in range(cols)] for _ in range(rows)]<\/code>\u3002<\/li>\n
  3. \u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u4e3a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8d4b\u503c\uff0c\u4f8b\u5982array[0][0] = 1<\/code>\u3002<\/li>\n<\/ol>\n
    # \u5b9a\u4e49\u6570\u7ec4\u7684\u884c\u548c\u5217<\/p>\n
    rows, cols = 3, 3<\/p>\n
    \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong><\/h2>\n
    array = [[None for _ in range(cols)] for _ in range(rows)]<\/p>\n
    \u8d4b\u503c\u64cd\u4f5c<\/strong><\/h2>\n
    array[0][0] = 1<\/p>\n
    array[1][1] = 2<\/p>\n
    array[2][2] = 3<\/p>\n
    print(array)<\/p>\n
    \u8f93\u51fa: [[1, None, None], [None, 2, None], [None, None, 3]]<\/strong><\/h2>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\u548c\u5bb9\u6613\u7406\u89e3\uff0c\u5bf9\u4e8e\u7b80\u5355\u7684\u4e8c\u7ef4\u6570\u7ec4\u521b\u5efa\u548c\u8d4b\u503c\u975e\u5e38\u6709\u6548\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528NumPy\u5e93\u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/p>\n<\/p>\n
    NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u3002\u4f7f\u7528NumPy\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u548c\u64cd\u4f5c\u4e8c\u7ef4\u6570\u7ec4\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528NumPy\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5e76\u8fdb\u884c\u8d4b\u503c\u7684\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
      \n
    1. \u5b89\u88c5NumPy\u5e93<\/strong>\uff1a\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5NumPy\uff0c\u53ef\u4ee5\u4f7f\u7528pip install numpy<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002<\/li>\n
    2. \u5bfc\u5165NumPy\u5e93<\/strong>\uff1a\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165NumPy\u5e93\uff0c\u4f8b\u5982import numpy as np<\/code>\u3002<\/li>\n
    3. \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong>\uff1a\u4f7f\u7528np.empty()<\/code>\u6216np.zeros()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u4f8b\u5982array = np.empty((3, 3))<\/code>\u3002<\/li>\n
    4. \u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u4e3a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8d4b\u503c\uff0c\u4f8b\u5982array[0, 0] = 1<\/code>\u3002<\/li>\n<\/ol>\n
      # \u5b89\u88c5NumPy\u5e93: pip install numpy<\/p>\n
      import numpy as np<\/p>\n
      \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong><\/h2>\n
      array = np.empty((3, 3))<\/p>\n
      \u8d4b\u503c\u64cd\u4f5c<\/strong><\/h2>\n
      array[0, 0] = 1<\/p>\n
      array[1, 1] = 2<\/p>\n
      array[2, 2] = 3<\/p>\n
      print(array)<\/p>\n
      \u8f93\u51fa: [[1. 0. 0.]<\/strong><\/h2>\n
            [0. 2. 0.]<\/strong><\/h2>\n
            [0. 0. 3.]]<\/strong><\/h2>\n
      <\/code><\/pre>\n<\/p>\n
      NumPy\u4e0d\u4ec5\u53ef\u4ee5\u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u8bb8\u591a\u5176\u4ed6\u9ad8\u7ea7\u64cd\u4f5c\uff0c\u4f8b\u5982\u77e9\u9635\u8fd0\u7b97\u3001\u7ebf\u6027\u4ee3\u6570\u7b49\u3002<\/p>\n<\/p>\n
      \u4e09\u3001\u52a8\u6001\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4<\/p>\n<\/p>\n
      \u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u6839\u636e\u52a8\u6001\u8f93\u5165\u751f\u6210\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u3002\u4f8b\u5982\uff0c\u7528\u6237\u5728\u8fd0\u884c\u65f6\u8f93\u5165\u6570\u7ec4\u7684\u5927\u5c0f\u548c\u521d\u59cb\u503c\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u52a8\u6001\u751f\u6210\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u5e76\u8fdb\u884c\u8d4b\u503c\u7684\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
        \n
      1. \u83b7\u53d6\u7528\u6237\u8f93\u5165<\/strong>\uff1a\u4f7f\u7528input()<\/code>\u51fd\u6570\u83b7\u53d6\u7528\u6237\u8f93\u5165\uff0c\u4f8b\u5982\u6570\u7ec4\u7684\u884c\u6570\u548c\u5217\u6570\u3002<\/li>\n
      2. \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong>\uff1a\u6839\u636e\u7528\u6237\u8f93\u5165\u7684\u884c\u6570\u548c\u5217\u6570\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u3002<\/li>\n
      3. \u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c<\/strong>\uff1a\u6839\u636e\u7528\u6237\u8f93\u5165\u7684\u521d\u59cb\u503c\u4e3a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8d4b\u503c\u3002<\/li>\n<\/ol>\n
        # \u83b7\u53d6\u7528\u6237\u8f93\u5165<\/p>\n
        rows = int(input("\u8bf7\u8f93\u5165\u6570\u7ec4\u7684\u884c\u6570: "))<\/p>\n
        cols = int(input("\u8bf7\u8f93\u5165\u6570\u7ec4\u7684\u5217\u6570: "))<\/p>\n
        \u521b\u5efa\u4e8c\u7ef4\u7a7a\u6570\u7ec4<\/strong><\/h2>\n
        array = [[None for _ in range(cols)] for _ in range(rows)]<\/p>\n
        \u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c<\/strong><\/h2>\n
        for i in range(rows):<\/p>\n
            for j in range(cols):<\/p>\n
                array[i][j] = int(input(f"\u8bf7\u8f93\u5165\u6570\u7ec4[{i}][{j}]\u7684\u503c: "))<\/p>\n
        print(array)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u7075\u6d3b\uff0c\u53ef\u4ee5\u6839\u636e\u7528\u6237\u7684\u9700\u6c42\u52a8\u6001\u751f\u6210\u548c\u8d4b\u503c\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
        \u56db\u3001\u5176\u4ed6\u9ad8\u7ea7\u64cd\u4f5c<\/p>\n<\/p>\n
        \u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\u5916\uff0cPython\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5176\u4ed6\u9ad8\u7ea7\u64cd\u4f5c\uff0c\u7528\u4e8e\u5904\u7406\u4e8c\u7ef4\u6570\u7ec4\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528itertools<\/code>\u5e93\u751f\u6210\u591a\u7ef4\u6570\u7ec4\u7684\u6240\u6709\u53ef\u80fd\u7ec4\u5408\uff0c\u4f7f\u7528pandas<\/code>\u5e93\u5904\u7406\u4e8c\u7ef4\u6570\u636e\u8868\u683c\u7b49\u3002<\/p>\n<\/p>\n
          \n
        1. \u4f7f\u7528itertools\u5e93\u751f\u6210\u591a\u7ef4\u6570\u7ec4\u7684\u7ec4\u5408<\/strong>\uff1aitertools<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u6548\u7684\u8fed\u4ee3\u5668\uff0c\u7528\u4e8e\u751f\u6210\u591a\u7ef4\u6570\u7ec4\u7684\u6240\u6709\u53ef\u80fd\u7ec4\u5408\u3002<\/li>\n<\/ol>\n
          import itertools<\/p>\n
          \u751f\u6210\u591a\u7ef4\u6570\u7ec4\u7684\u6240\u6709\u53ef\u80fd\u7ec4\u5408<\/strong><\/h2>\n
          combinations = list(itertools.product([0, 1], repeat=2))<\/p>\n
          print(combinations)<\/p>\n
          \u8f93\u51fa: [(0, 0), (0, 1), (1, 0), (1, 1)]<\/strong><\/h2>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u4f7f\u7528pandas\u5e93\u5904\u7406\u4e8c\u7ef4\u6570\u636e\u8868\u683c<\/strong>\uff1apandas<\/code>\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u4e8c\u7ef4\u6570\u636e\u8868\u683c\u3002<\/li>\n<\/ol>\n
            import pandas as pd<\/p>\n
            \u521b\u5efa\u4e8c\u7ef4\u6570\u636e\u8868\u683c<\/strong><\/h2>\n
            data = {'A': [1, 2, 3], 'B': [4, 5, 6]}<\/p>\n
            df = pd.DataFrame(data)<\/p>\n
            print(df)<\/p>\n
            \u8f93\u51fa:<\/strong><\/h2>\n
               A  B<\/strong><\/h2>\n
            0  1  4<\/strong><\/h2>\n
            1  2  5<\/strong><\/h2>\n
            2  3  6<\/strong><\/h2>\n
            <\/code><\/pre>\n<\/p>\n
            \u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u548c\u8d4b\u503c\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u9ad8\u7ea7\u64cd\u4f5c\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u5904\u7406Python\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\uff1f<\/strong>
            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60f3\u8981\u521b\u5efa\u4e00\u4e2a3×3\u7684\u7a7a\u6570\u7ec4\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1aarray = [[None for _ in range(3)] for _ in range(3)]<\/code>\u3002\u8fd9\u6837\u4f1a\u751f\u6210\u4e00\u4e2a\u5305\u542b3\u4e2a\u5217\u8868\u7684\u5217\u8868\uff0c\u6bcf\u4e2a\u5217\u8868\u90fd\u67093\u4e2aNone<\/code>\u503c\uff0c\u8868\u793a\u7a7a\u5143\u7d20\u3002<\/p>\n
            \u5982\u4f55\u7ed9Python\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\u8d4b\u503c\uff1f<\/strong>
            \u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u7684\u7279\u5b9a\u4f4d\u7f6e\u8d4b\u503c\u3002\u4f8b\u5982\uff0c\u82e5\u8981\u5c06\u503c5\u8d4b\u7ed9\u4e8c\u7ef4\u6570\u7ec4\u7684\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528array[0][0] = 5<\/code>\u3002\u8fd9\u6837\u5c31\u80fd\u8f7b\u677e\u66f4\u65b0\u7279\u5b9a\u4f4d\u7f6e\u7684\u503c\u3002<\/p>\n
            \u5982\u4f55\u68c0\u67e5Python\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\u662f\u5426\u4e3a\u7a7a\uff1f<\/strong>
            \u53ef\u4ee5\u901a\u8fc7\u5224\u65ad\u6570\u7ec4\u7684\u957f\u5ea6\u6765\u68c0\u67e5\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u662f\u5426\u4e3a\u7a7a\u3002\u5982\u679c\u6570\u7ec4\u7684\u957f\u5ea6\u4e3a0\uff0c\u6216\u8005\u6240\u6709\u5b50\u6570\u7ec4\u7684\u957f\u5ea6\u90fd\u4e3a0\uff0c\u5219\u53ef\u4ee5\u8ba4\u4e3a\u8fd9\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u4e3a\u7a7a\u3002\u53ef\u4ee5\u4f7f\u7528if not any(array):<\/code>\u6765\u68c0\u67e5\u6570\u7ec4\u662f\u5426\u4e3a\u7a7a\uff0c\u6216\u8005\u4f7f\u7528len(array) == 0<\/code>\u6765\u5224\u65ad\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u6570\u7ec4\u5e76\u8fdb\u884c\u8d4b\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u3002\u5176\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001Num […]","protected":false},"author":3,"featured_media":1085900,"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\/1085892"}],"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=1085892"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1085892\/revisions"}],"predecessor-version":[{"id":1085902,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1085892\/revisions\/1085902"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1085900"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1085892"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1085892"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1085892"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}