{"id":1128089,"date":"2025-01-08T20:16:48","date_gmt":"2025-01-08T12:16:48","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1128089.html"},"modified":"2025-01-08T20:16:50","modified_gmt":"2025-01-08T12:16:50","slug":"python%e5%a6%82%e4%bd%95%e6%b1%82%e4%b8%80%e7%bb%84%e6%95%b0%e7%9a%84%e4%b8%ad%e4%bd%8d%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1128089.html","title":{"rendered":"python\u5982\u4f55\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25094912\/5f179209-3d12-473c-935a-c64885ab9903.webp\" alt=\"python\u5982\u4f55\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u6807\u51c6\u5e93\u4e2d\u7684<code>statistics<\/code>\u6a21\u5757\u6216\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570<\/strong>\u3002<strong>\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528<code>statistics.median()<\/code>\u3001\u624b\u52a8\u6392\u5e8f\u548c\u8ba1\u7b97\u4e2d\u4f4d\u6570<\/strong>\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u89e3\u91ca\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u4f7f\u7528<code>statistics<\/code>\u6a21\u5757<\/h2>\n<\/p>\n<p><p>Python\u7684<code>statistics<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u800c\u6709\u6548\u7684\u65b9\u6cd5\u6765\u8ba1\u7b97\u4e2d\u4f4d\u6570\u3002\u8fd9\u4e2a\u6a21\u5757\u5185\u7f6e\u4e86\u4e00\u4e2a<code>median()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\u3002<\/p>\n<\/p>\n<p><h3>1.1 <code>statistics.median()<\/code><\/h3>\n<\/p>\n<p><p><code>statistics.median()<\/code>\u662f\u8ba1\u7b97\u4e2d\u4f4d\u6570\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u3002\u5b83\u9002\u7528\u4e8e\u4efb\u4f55\u53ef\u8fed\u4ee3\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u5217\u8868\u3001\u5143\u7ec4\u7b49\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import statistics<\/p>\n<p>data = [1, 3, 5, 7, 9]<\/p>\n<p>median_value = statistics.median(data)<\/p>\n<p>print(f&quot;The median is: {median_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>1.2 \u5904\u7406\u5076\u6570\u4e2a\u5143\u7d20<\/h3>\n<\/p>\n<p><p>\u5f53\u6570\u636e\u96c6\u5305\u542b\u5076\u6570\u4e2a\u5143\u7d20\u65f6\uff0c<code>statistics.median()<\/code>\u4f1a\u8fd4\u56de\u4e2d\u95f4\u4e24\u4e2a\u6570\u7684\u5e73\u5747\u503c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = [1, 2, 3, 4, 5, 6]<\/p>\n<p>median_value = statistics.median(data)<\/p>\n<p>print(f&quot;The median is: {median_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u5c06\u8fd4\u56de<code>3.5<\/code>\uff0c\u56e0\u4e3a\u4e2d\u95f4\u7684\u4e24\u4e2a\u6570\u662f<code>3<\/code>\u548c<code>4<\/code>\uff0c\u5b83\u4eec\u7684\u5e73\u5747\u503c\u662f<code>3.5<\/code>\u3002<\/p>\n<\/p>\n<p><h2>\u4e8c\u3001\u81ea\u5b9a\u4e49\u51fd\u6570<\/h2>\n<\/p>\n<p><p>\u867d\u7136<code>statistics<\/code>\u6a21\u5757\u975e\u5e38\u65b9\u4fbf\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u81ea\u5b9a\u4e49\u8ba1\u7b97\u4e2d\u4f4d\u6570\u7684\u903b\u8f91\uff0c\u4f8b\u5982\u5904\u7406\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u6216\u6dfb\u52a0\u989d\u5916\u7684\u9a8c\u8bc1\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u624b\u52a8\u8ba1\u7b97\u4e2d\u4f4d\u6570\u7684\u793a\u4f8b\u3002<\/p>\n<\/p>\n<p><h3>2.1 \u624b\u52a8\u6392\u5e8f\u548c\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>\u624b\u52a8\u8ba1\u7b97\u4e2d\u4f4d\u6570\u7684\u7b2c\u4e00\u6b65\u662f\u5c06\u6570\u636e\u8fdb\u884c\u6392\u5e8f\uff0c\u7136\u540e\u6839\u636e\u6570\u636e\u91cf\u7684\u5947\u5076\u6027\u6765\u8ba1\u7b97\u4e2d\u4f4d\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def calculate_median(data):<\/p>\n<p>    sorted_data = sorted(data)<\/p>\n<p>    n = len(sorted_data)<\/p>\n<p>    mid = n \/\/ 2<\/p>\n<p>    if n % 2 == 0:<\/p>\n<p>        # \u5982\u679c\u662f\u5076\u6570\u4e2a\u5143\u7d20\uff0c\u53d6\u4e2d\u95f4\u4e24\u4e2a\u6570\u7684\u5e73\u5747\u503c<\/p>\n<p>        median_value = (sorted_data[mid - 1] + sorted_data[mid]) \/ 2<\/p>\n<p>    else:<\/p>\n<p>        # \u5982\u679c\u662f\u5947\u6570\u4e2a\u5143\u7d20\uff0c\u53d6\u4e2d\u95f4\u7684\u6570<\/p>\n<p>        median_value = sorted_data[mid]<\/p>\n<p>    return median_value<\/p>\n<p>data = [1, 3, 5, 7, 9]<\/p>\n<p>median_value = calculate_median(data)<\/p>\n<p>print(f&quot;The median is: {median_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2.2 \u5904\u7406\u7279\u6b8a\u60c5\u51b5<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5b9e\u9645\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u7279\u6b8a\u60c5\u51b5\uff0c\u4f8b\u5982\u7a7a\u5217\u8868\u6216\u5305\u542b\u975e\u6570\u503c\u5143\u7d20\u7684\u5217\u8868\u3002\u4e0b\u9762\u7684\u4ee3\u7801\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def calculate_median(data):<\/p>\n<p>    if not data:<\/p>\n<p>        r<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>se ValueError(&quot;The data list is empty&quot;)<\/p>\n<p>    sorted_data = sorted(data)<\/p>\n<p>    n = len(sorted_data)<\/p>\n<p>    mid = n \/\/ 2<\/p>\n<p>    if n % 2 == 0:<\/p>\n<p>        median_value = (sorted_data[mid - 1] + sorted_data[mid]) \/ 2<\/p>\n<p>    else:<\/p>\n<p>        median_value = sorted_data[mid]<\/p>\n<p>    return median_value<\/p>\n<p>try:<\/p>\n<p>    data = []<\/p>\n<p>    median_value = calculate_median(data)<\/p>\n<p>    print(f&quot;The median is: {median_value}&quot;)<\/p>\n<p>except ValueError as e:<\/p>\n<p>    print(e)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/h2>\n<\/p>\n<p><p>NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u51fd\u6570\u6765\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u3002\u4f7f\u7528NumPy\u8ba1\u7b97\u4e2d\u4f4d\u6570\u975e\u5e38\u7b80\u5355\u3002<\/p>\n<\/p>\n<p><h3>3.1 <code>numpy.median()<\/code><\/h3>\n<\/p>\n<p><p>NumPy\u5e93\u4e2d\u7684<code>median()<\/code>\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u8ba1\u7b97\u4e2d\u4f4d\u6570\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>data = [1, 3, 5, 7, 9]<\/p>\n<p>median_value = np.median(data)<\/p>\n<p>print(f&quot;The median is: {median_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3.2 \u591a\u7ef4\u6570\u7ec4<\/h3>\n<\/p>\n<p><p>NumPy\u8fd8\u53ef\u4ee5\u5904\u7406\u591a\u7ef4\u6570\u7ec4\uff0c\u5e76\u5728\u7279\u5b9a\u8f74\u4e0a\u8ba1\u7b97\u4e2d\u4f4d\u6570\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = np.array([[1, 3, 5], [7, 9, 11]])<\/p>\n<p>median_value = np.median(data, axis=0)<\/p>\n<p>print(f&quot;The median along axis 0 is: {median_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u5c06\u8ba1\u7b97\u6cbf\u7740\u8f740\u7684\u4e2d\u4f4d\u6570\uff0c\u5373\u6bcf\u4e00\u5217\u7684\u4e2d\u4f4d\u6570\u3002<\/p>\n<\/p>\n<p><h2>\u56db\u3001\u6bd4\u8f83\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd<\/h2>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\uff0c\u6027\u80fd\u53ef\u80fd\u6210\u4e3a\u4e00\u4e2a\u5173\u952e\u56e0\u7d20\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6bd4\u8f83\u4e0d\u540c\u65b9\u6cd5\u7684\u6267\u884c\u65f6\u95f4\u6765\u9009\u62e9\u6700\u4f73\u65b9\u6848\u3002<\/p>\n<\/p>\n<p><h3>4.1 \u6027\u80fd\u6d4b\u8bd5<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528Python\u7684<code>timeit<\/code>\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u6d4b\u8bd5\u4e0d\u540c\u65b9\u6cd5\u7684\u6267\u884c\u65f6\u95f4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import timeit<\/p>\n<p>data = [i for i in range(1000000)]<\/p>\n<h2><strong>\u4f7f\u7528statistics.median()<\/strong><\/h2>\n<p>time_statistics = timeit.timeit(&#39;statistics.median(data)&#39;, setup=&#39;import statistics; from __main__ import data&#39;, number=10)<\/p>\n<h2><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n<p>time_custom = timeit.timeit(&#39;calculate_median(data)&#39;, setup=&#39;from __main__ import calculate_median, data&#39;, number=10)<\/p>\n<h2><strong>\u4f7f\u7528NumPy<\/strong><\/h2>\n<p>time_numpy = timeit.timeit(&#39;np.median(data)&#39;, setup=&#39;import numpy as np; from __main__ import data&#39;, number=10)<\/p>\n<p>print(f&quot;Time using statistics.median(): {time_statistics}&quot;)<\/p>\n<p>print(f&quot;Time using custom function: {time_custom}&quot;)<\/p>\n<p>print(f&quot;Time using numpy.median(): {time_numpy}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u60a8\u53ef\u4ee5\u6bd4\u8f83\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd\uff0c\u5e76\u9009\u62e9\u6700\u9002\u5408\u60a8\u9700\u6c42\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u5185\u5bb9\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5728Python\u4e2d\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\u7684\u4e0d\u540c\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528<code>statistics<\/code>\u6a21\u5757\u3001\u81ea\u5b9a\u4e49\u51fd\u6570\u548cNumPy\u5e93\u3002<strong>\u4f7f\u7528<code>statistics.median()<\/code>\u662f\u6700\u7b80\u5355\u548c\u76f4\u63a5\u7684\u65b9\u6cd5<\/strong>\uff0c<strong>\u81ea\u5b9a\u4e49\u51fd\u6570\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027<\/strong>\uff0c<strong>\u800cNumPy\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u548c\u591a\u7ef4\u6570\u7ec4\u65f6\u5177\u6709\u663e\u8457\u4f18\u52bf<\/strong>\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u6700\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Python\u4e2d\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\uff0c\u5e76\u4e3a\u60a8\u7684\u6570\u636e\u5904\u7406\u5de5\u4f5c\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u53c2\u8003\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8ba1\u7b97\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>statistics<\/code>\u6a21\u5757\u4e2d\u7684<code>median<\/code>\u51fd\u6570\u6765\u8ba1\u7b97\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u5bfc\u5165\u8be5\u6a21\u5757\uff0c\u7136\u540e\u5c06\u6570\u636e\u4ee5\u5217\u8868\u7684\u5f62\u5f0f\u4f20\u5165\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import statistics\n\ndata = [1, 3, 3, 6, 7, 8, 9]\nmedian_value = statistics.median(data)\nprint(median_value)  # \u8f93\u51fa 6\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u5f0f\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u5904\u7406\u5c0f\u578b\u6570\u636e\u96c6\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\uff0c\u5982\u4f55\u5904\u7406\u5305\u542b\u5076\u6570\u4e2a\u5143\u7d20\u7684\u5217\u8868\u4ee5\u6c42\u4e2d\u4f4d\u6570\uff1f<\/strong><br \/>\u5f53\u5217\u8868\u5305\u542b\u5076\u6570\u4e2a\u5143\u7d20\u65f6\uff0cPython\u7684<code>statistics.median<\/code>\u51fd\u6570\u4f1a\u81ea\u52a8\u8ba1\u7b97\u4e2d\u95f4\u4e24\u4e2a\u6570\u7684\u5e73\u5747\u503c\u3002\u6bd4\u5982\uff0c\u5bf9\u4e8e\u5217\u8868<code>[1, 2, 3, 4]<\/code>\uff0c\u4e2d\u4f4d\u6570\u8ba1\u7b97\u4e3a<code>(2 + 3) \/ 2 = 2.5<\/code>\u3002\u56e0\u6b64\uff0c\u4f7f\u7528\u8be5\u51fd\u6570\u65f6\u65e0\u9700\u989d\u5916\u5904\u7406\u3002<\/p>\n<p><strong>\u662f\u5426\u6709\u5176\u4ed6\u65b9\u6cd5\u53ef\u4ee5\u5728Python\u4e2d\u8ba1\u7b97\u4e2d\u4f4d\u6570\uff1f<\/strong><br \/>\u9664\u4e86\u4f7f\u7528<code>statistics<\/code>\u6a21\u5757\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u6392\u5e8f\u548c\u7d22\u5f15\u624b\u52a8\u8ba1\u7b97\u4e2d\u4f4d\u6570\u3002\u9996\u5148\u5bf9\u5217\u8868\u8fdb\u884c\u6392\u5e8f\uff0c\u7136\u540e\u6839\u636e\u5143\u7d20\u4e2a\u6570\u5224\u65ad\u4e2d\u4f4d\u6570\u4f4d\u7f6e\uff0c\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<pre><code class=\"language-python\">data = [1, 3, 3, 6, 7, 8, 9]\ndata.sort()\nn = len(data)\nif n % 2 == 0:\n    median_value = (data[n\/\/2 - 1] + data[n\/\/2]) \/ 2\nelse:\n    median_value = data[n\/\/2]\nprint(median_value)\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u4f60\u7406\u89e3\u4e2d\u4f4d\u6570\u7684\u8ba1\u7b97\u903b\u8f91\uff0c\u540c\u65f6\u9002\u7528\u4e8e\u5bf9\u6570\u636e\u8fdb\u884c\u66f4\u591a\u81ea\u5b9a\u4e49\u5904\u7406\u7684\u573a\u666f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u6807\u51c6\u5e93\u4e2d\u7684statistics\u6a21\u5757\u6216\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u6c42\u4e00\u7ec4\u6570\u7684\u4e2d\u4f4d\u6570\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528s [&hellip;]","protected":false},"author":3,"featured_media":1128091,"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\/1128089"}],"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=1128089"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1128089\/revisions"}],"predecessor-version":[{"id":1128092,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1128089\/revisions\/1128092"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1128091"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1128089"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1128089"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1128089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}