{"id":971124,"date":"2024-12-27T05:32:08","date_gmt":"2024-12-26T21:32:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/971124.html"},"modified":"2024-12-27T05:32:11","modified_gmt":"2024-12-26T21:32:11","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%bd%ac%e6%8d%a2%e5%ae%9e%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/971124.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8f6c\u6362\u5b9e\u6570"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u8f6c\u6362\u5b9e\u6570\"<\/p>\n

\u5728Python\u4e2d\uff0c\u8f6c\u6362\u5b9e\u6570\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5305\u62ec\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u5b9e\u6570\u3001\u5c06\u6574\u6570\u8f6c\u6362\u4e3a\u5b9e\u6570\uff0c\u4ee5\u53ca\u5c06\u5b9e\u6570\u622a\u53d6\u4e3a\u7279\u5b9a\u7684\u683c\u5f0f\u7b49\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u51fd\u6570float()<\/code>\u3001\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3001\u4ee5\u53ca\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97<\/strong>\u3002\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\u7684float()<\/code>\u51fd\u6570\u662f\u6700\u57fa\u7840\u7684\uff0c\u5b83\u53ef\u4ee5\u5c06\u5b57\u7b26\u4e32\u6216\u6574\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u5219\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u4ee5\u7279\u5b9a\u7684\u683c\u5f0f\u8f93\u51fa\u5b9e\u6570\uff0c\u800cNumPy\u63d0\u4f9b\u4e86\u66f4\u4e3a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u80fd\u529b\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528FLOAT()\u51fd\u6570<\/p>\n<\/p>\n

float()<\/code>\u51fd\u6570\u662fPython\u4e2d\u7528\u4e8e\u5c06\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u7684\u5185\u7f6e\u51fd\u6570\u3002\u5b83\u53ef\u4ee5\u63a5\u53d7\u5b57\u7b26\u4e32\u548c\u6574\u6570\u4f5c\u4e3a\u53c2\u6570\uff0c\u5e76\u8fd4\u56de\u76f8\u5e94\u7684\u6d6e\u70b9\u6570\u3002<\/p>\n<\/p>\n

    \n
  1. \u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570<\/strong><\/li>\n<\/ol>\n

    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528float()<\/code>\u51fd\u6570\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002\u8fd9\u5728\u5904\u7406\u4ece\u6587\u4ef6\u6216\u7528\u6237\u8f93\u5165\u7684\u6570\u503c\u6570\u636e\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n

    string_number = "123.45"<\/p>\n
    real_number = float(string_number)<\/p>\n
    print(real_number)  # \u8f93\u51fa: 123.45<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u8f6c\u6362\u8981\u6c42\u5b57\u7b26\u4e32\u5fc5\u987b\u662f\u4e00\u4e2a\u6709\u6548\u7684\u6570\u5b57\u683c\u5f0f\uff0c\u5426\u5219\u4f1a\u629b\u51faValueError<\/code>\u3002<\/p>\n<\/p>\n
      \n
    1. \u5c06\u6574\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570<\/strong><\/li>\n<\/ol>\n
      \u6574\u6570\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7float()<\/code>\u51fd\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002\u8fd9\u79cd\u8f6c\u6362\u5728\u9700\u8981\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n<\/p>\n
      int_number = 123<\/p>\n
      real_number = float(int_number)<\/p>\n
      print(real_number)  # \u8f93\u51fa: 123.0<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u79cd\u8f6c\u6362\u662f\u9690\u5f0f\u7684\uff0c\u4e0d\u4f1a\u629b\u51fa\u9519\u8bef\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u683c\u5f0f\u5316\u6d6e\u70b9\u6570<\/p>\n<\/p>\n
      Python\u63d0\u4f9b\u4e86\u591a\u79cd\u683c\u5f0f\u5316\u6d6e\u70b9\u6570\u7684\u65b9\u6cd5\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u663e\u793a\u9700\u6c42\u3002<\/p>\n<\/p>\n
        \n
      1. \u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316<\/strong><\/li>\n<\/ol>\n
        Python\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u53ef\u4ee5\u7528\u6765\u63a7\u5236\u6d6e\u70b9\u6570\u7684\u663e\u793a\u683c\u5f0f\u3002\u8fd9\u5bf9\u4e8e\u9700\u8981\u5c06\u6d6e\u70b9\u6570\u8f93\u51fa\u4e3a\u7279\u5b9a\u5c0f\u6570\u4f4d\u6570\u7684\u60c5\u51b5\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
        real_number = 123.456789<\/p>\n
        formatted_number = "{:.2f}".format(real_number)<\/p>\n
        print(formatted_number)  # \u8f93\u51fa: 123.46<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u65b9\u6cd5\u4f7f\u7528\u4e86format<\/code>\u65b9\u6cd5\uff0c{:.2f}<\/code>\u8868\u793a\u4fdd\u7559\u4e24\u4f4d\u5c0f\u6570\u3002<\/p>\n<\/p>\n
          \n
        1. \u4f7f\u7528f-string\u683c\u5f0f\u5316<\/strong><\/li>\n<\/ol>\n
          Python 3.6\u5f15\u5165\u7684f-string\u63d0\u4f9b\u4e86\u4e00\u79cd\u66f4\u4e3a\u7b80\u6d01\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
          real_number = 123.456789<\/p>\n
          formatted_number = f"{real_number:.2f}"<\/p>\n
          print(formatted_number)  # \u8f93\u51fa: 123.46<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u683c\u5f0f\u5316\u65b9\u5f0f\u66f4\u4e3a\u76f4\u89c2\uff0c\u63a8\u8350\u5728Python 3.6\u53ca\u4ee5\u4e0a\u7248\u672c\u4e2d\u4f7f\u7528\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97<\/p>\n<\/p>\n
          NumPy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u51fd\u6570\u548c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
            \n
          1. \u4f7f\u7528NumPy\u8fdb\u884c\u7c7b\u578b\u8f6c\u6362<\/strong><\/li>\n<\/ol>\n
            NumPy\u63d0\u4f9b\u4e86astype<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u6570\u7ec4\u7684\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3002<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            array = np.array([1, 2, 3])<\/p>\n
            float_array = array.astype(float)<\/p>\n
            print(float_array)  # \u8f93\u51fa: [1. 2. 3.]<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u79cd\u65b9\u6cd5\u5bf9\u4e8e\u9700\u8981\u5bf9\u5927\u89c4\u6a21\u6570\u636e\u8fdb\u884c\u7c7b\u578b\u8f6c\u6362\u7684\u60c5\u51b5\u975e\u5e38\u9002\u7528\u3002<\/p>\n<\/p>\n
              \n
            1. NumPy\u7684\u6d6e\u70b9\u6570\u8fd0\u7b97<\/strong><\/li>\n<\/ol>\n
              NumPy\u652f\u6301\u591a\u79cd\u6d6e\u70b9\u6570\u8fd0\u7b97\uff0c\u5305\u62ec\u5411\u91cf\u5316\u8fd0\u7b97\u3001\u7ebf\u6027\u4ee3\u6570\u3001\u7edf\u8ba1\u5206\u6790\u7b49\u3002<\/p>\n<\/p>\n
              array = np.array([1.5, 2.5, 3.5])<\/p>\n
              sum_of_array = np.sum(array)<\/p>\n
              mean_of_array = np.mean(array)<\/p>\n
              print(f"Sum: {sum_of_array}, Mean: {mean_of_array}")  # \u8f93\u51fa: Sum: 7.5, Mean: 2.5<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u79cd\u8fd0\u7b97\u65b9\u5f0f\u80fd\u591f\u5927\u5927\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\uff0c\u5c24\u5176\u662f\u5728\u5927\u6570\u636e\u5904\u7406\u65f6\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u5904\u7406\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u95ee\u9898<\/p>\n<\/p>\n
              \u5728\u8ba1\u7b97\u673a\u4e2d\uff0c\u6d6e\u70b9\u6570\u7684\u8868\u793a\u662f\u8fd1\u4f3c\u7684\uff0c\u56e0\u6b64\u5728\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\uff0c\u5e38\u5e38\u4f1a\u9047\u5230\u7cbe\u5ea6\u95ee\u9898\u3002<\/p>\n<\/p>\n
                \n
              1. \u6d6e\u70b9\u6570\u7cbe\u5ea6\u8bef\u5dee<\/strong><\/li>\n<\/ol>\n
                \u7531\u4e8e\u6d6e\u70b9\u6570\u7684\u4e8c\u8fdb\u5236\u8868\u793a\u65b9\u5f0f\uff0c\u4e00\u4e9b\u5341\u8fdb\u5236\u7684\u7cbe\u786e\u6570\u5728\u8f6c\u6362\u4e3a\u4e8c\u8fdb\u5236\u65f6\u4f1a\u51fa\u73b0\u8bef\u5dee\u3002\u4f8b\u5982\uff0c0.1<\/code>\u5728\u4e8c\u8fdb\u5236\u4e2d\u662f\u4e00\u4e2a\u65e0\u9650\u5faa\u73af\u5c0f\u6570\u3002<\/p>\n<\/p>\n
                result = 0.1 + 0.2<\/p>\n
                print(result == 0.3)  # \u8f93\u51fa: False<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u8fd9\u79cd\u8bef\u5dee\u6e90\u4e8e\u6d6e\u70b9\u6570\u5728\u8ba1\u7b97\u673a\u4e2d\u7684\u8868\u793a\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528decimal\u6a21\u5757\u63d0\u9ad8\u7cbe\u5ea6<\/strong><\/li>\n<\/ol>\n
                  Python\u7684decimal<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5bf9\u6d6e\u70b9\u6570\u8fdb\u884c\u7cbe\u786e\u63a7\u5236\u7684\u65b9\u5f0f\uff0c\u5b83\u4f7f\u7528\u5341\u8fdb\u5236\u6d6e\u70b9\u6570\u6765\u907f\u514d\u4e8c\u8fdb\u5236\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u95ee\u9898\u3002<\/p>\n<\/p>\n
                  from decimal import Decimal<\/p>\n
                  result = Decimal('0.1') + Decimal('0.2')<\/p>\n
                  print(result == Decimal('0.3'))  # \u8f93\u51fa: True<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u4f7f\u7528decimal<\/code>\u6a21\u5757\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u8ba1\u7b97\u7cbe\u5ea6\uff0c\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n
                  \u4e94\u3001\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u6d6e\u70b9\u6570\u5e94\u7528<\/p>\n<\/p>\n
                  \u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u6d6e\u70b9\u6570\u7684\u5e94\u7528\u5e7f\u6cdb\uff0c\u5305\u62ec\u7269\u7406\u6a21\u62df\u3001\u6570\u636e\u5206\u6790\u7b49\u9886\u57df\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u6d6e\u70b9\u6570\u5728\u7269\u7406\u6a21\u62df\u4e2d\u7684\u5e94\u7528<\/strong><\/li>\n<\/ol>\n
                    \u5728\u7269\u7406\u6a21\u62df\u4e2d\uff0c\u6d6e\u70b9\u6570\u5e38\u7528\u4e8e\u8868\u793a\u8fde\u7eed\u7684\u7269\u7406\u91cf\u3002\u4f8b\u5982\uff0c\u5728\u6a21\u62df\u91cd\u529b\u4f5c\u7528\u65f6\uff0c\u6d6e\u70b9\u6570\u53ef\u7528\u4e8e\u8868\u793a\u7269\u4f53\u7684\u901f\u5ea6\u548c\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
                    # \u8ba1\u7b97\u7269\u4f53\u81ea\u7531\u843d\u4f53\u7684\u4f4d\u79fb<\/p>\n
                    gravity = 9.81  # \u52a0\u901f\u5ea6 m\/s^2<\/p>\n
                    time = 2.0  # \u65f6\u95f4 s<\/p>\n
                    displacement = 0.5 * gravity * time2<\/p>\n
                    print(displacement)  # \u8f93\u51fa: 19.62<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u6d6e\u70b9\u6570\u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528<\/strong><\/li>\n<\/ol>\n
                      \u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6d6e\u70b9\u6570\u5e38\u7528\u4e8e\u8868\u793a\u7edf\u8ba1\u91cf\uff0c\u4f8b\u5982\u5e73\u5747\u6570\u3001\u65b9\u5dee\u7b49\u3002<\/p>\n<\/p>\n
                      import numpy as np<\/p>\n
                      data = np.array([1.5, 2.5, 3.5, 4.5])<\/p>\n
                      mean = np.mean(data)<\/p>\n
                      variance = np.var(data)<\/p>\n
                      print(f"Mean: {mean}, Variance: {variance}")  # \u8f93\u51fa: Mean: 3.0, Variance: 1.25<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u901a\u8fc7\u5bf9\u6d6e\u70b9\u6570\u8fdb\u884c\u8fd0\u7b97\uff0c\u80fd\u591f\u6709\u6548\u5730\u5206\u6790\u6570\u636e\u7279\u5f81\u3002<\/p>\n<\/p>\n
                      \u603b\u7ed3\u6765\u8bf4\uff0cPython\u4e2d\u8f6c\u6362\u5b9e\u6570\u7684\u65b9\u6cd5\u4e30\u5bcc\u591a\u6837\uff0cfloat()<\/code>\u51fd\u6570\u662f\u6700\u57fa\u7840\u7684\u5de5\u5177\uff0c\u800c\u901a\u8fc7\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u548cNumPy\u5e93\u7684\u4f7f\u7528\uff0c\u80fd\u591f\u66f4\u597d\u5730\u6ee1\u8db3\u590d\u6742\u7684\u8ba1\u7b97\u9700\u6c42\u3002\u540c\u65f6\uff0c\u7406\u89e3\u548c\u5904\u7406\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u95ee\u9898\u4e5f\u662f\u786e\u4fdd\u6570\u503c\u8ba1\u7b97\u51c6\u786e\u6027\u7684\u5173\u952e\u3002\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u7b49\u9886\u57df\uff0c\u6d6e\u70b9\u6570\u7684\u5e94\u7528\u6781\u5176\u5e7f\u6cdb\uff0c\u638c\u63e1\u5176\u8f6c\u6362\u548c\u8fd0\u7b97\u6280\u5de7\u5bf9\u4e8ePython\u5f00\u53d1\u8005\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<\/p>\n
                      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                       \u5982\u4f55\u5728Python\u4e2d\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\uff1f<\/strong>
                      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684float()<\/code>\u51fd\u6570\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u5b57\u7b26\u4e32"3.14"<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7float("3.14")<\/code>\u5c06\u5176\u8f6c\u6362\u4e3a\u6d6e\u70b9\u65703.14<\/code>\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5b57\u7b26\u4e32\u5fc5\u987b\u662f\u6709\u6548\u7684\u6570\u5b57\u683c\u5f0f\uff0c\u5426\u5219\u4f1a\u629b\u51faValueError<\/code>\u5f02\u5e38\u3002<\/p>\n
                      Python\u652f\u6301\u54ea\u4e9b\u683c\u5f0f\u7684\u5b9e\u6570\u8f6c\u6362\uff1f<\/strong>
                      Python\u652f\u6301\u591a\u79cd\u683c\u5f0f\u7684\u5b9e\u6570\u8f6c\u6362\uff0c\u5305\u62ec\u6807\u51c6\u7684\u5341\u8fdb\u5236\u6570\uff08\u59823.14<\/code>\uff09\uff0c\u79d1\u5b66\u8ba1\u6570\u6cd5\uff08\u59821.5e2<\/code>\u8868\u793a150\uff09\uff0c\u4ee5\u53ca\u8d1f\u6570\uff08\u5982-2.7<\/code>\uff09\u3002\u53ea\u8981\u7b26\u5408Python\u7684\u6d6e\u70b9\u6570\u8868\u793a\u6cd5\uff0c\u5747\u53ef\u901a\u8fc7float()<\/code>\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n
                      \u5982\u4f55\u5904\u7406\u6d6e\u70b9\u6570\u8f6c\u6362\u4e2d\u7684\u9519\u8bef\uff1f<\/strong>
                      \u5728\u8fdb\u884c\u6d6e\u70b9\u6570\u8f6c\u6362\u65f6\uff0c\u63a8\u8350\u4f7f\u7528try<\/code>\u548cexcept<\/code>\u8bed\u53e5\u6765\u6355\u83b7\u53ef\u80fd\u53d1\u751f\u7684\u5f02\u5e38\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1a  <\/p>\n
                      try:\n    number = float(input("\u8bf7\u8f93\u5165\u4e00\u4e2a\u5b9e\u6570: "))\nexcept ValueError:\n    print("\u8f93\u5165\u65e0\u6548\uff0c\u8bf7\u8f93\u5165\u4e00\u4e2a\u6709\u6548\u7684\u5b9e\u6570\u3002")\n<\/code><\/pre>\n
                      \u8fd9\u79cd\u65b9\u5f0f\u80fd\u6709\u6548\u5904\u7406\u7528\u6237\u8f93\u5165\u9519\u8bef\uff0c\u907f\u514d\u7a0b\u5e8f\u5d29\u6e83\uff0c\u5e76\u63d0\u4f9b\u53cb\u597d\u7684\u63d0\u793a\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8f6c\u6362\u5b9e\u6570\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5305\u62ec\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u5b9e\u6570\u3001\u5c06\u6574\u6570\u8f6c\u6362\u4e3a\u5b9e\u6570\uff0c\u4ee5\u53ca\u5c06\u5b9e\u6570\u622a\u53d6\u4e3a\u7279\u5b9a\u7684\u683c\u5f0f\u7b49 […]","protected":false},"author":3,"featured_media":971132,"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\/971124"}],"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=971124"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/971124\/revisions"}],"predecessor-version":[{"id":971137,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/971124\/revisions\/971137"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/971132"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=971124"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=971124"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=971124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}