{"id":1111648,"date":"2025-01-08T17:31:14","date_gmt":"2025-01-08T09:31:14","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1111648.html"},"modified":"2025-01-08T17:31:16","modified_gmt":"2025-01-08T09:31:16","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%88%a0%e9%99%a4%e6%9f%90%e4%b8%80%e5%88%97%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1111648.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25074023\/b44a5785-03d7-47f4-83e9-9d2f83a1b8ad.webp\" alt=\"python\u4e2d\u5982\u4f55\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\" \/><\/p>\n<p><p> \u5728Python\u4e2d\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c<strong>\u4e3b\u8981\u6709\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93<\/strong>\uff0c\u5177\u4f53\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><h3>Pandas\u5e93<\/h3>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u65b9\u4fbf\u5feb\u6377\u7684\u6570\u636e\u64cd\u4f5c\u65b9\u6cd5\u3002\u8981\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>drop()<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>\u4f7f\u7528Pandas\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/strong><\/h2>\n<p>data = {<\/p>\n<p>    &#39;A&#39;: [1, 2, 3],<\/p>\n<p>    &#39;B&#39;: [4, 5, 6],<\/p>\n<p>    &#39;C&#39;: [7, 8, 9]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u5220\u9664\u5217B<\/strong><\/h2>\n<p>df = df.drop(&#39;B&#39;, axis=1)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u4e09\u5217\u6570\u636e\u7684DataFrame\uff0c\u7136\u540e\u4f7f\u7528<code>drop()<\/code>\u65b9\u6cd5\u5220\u9664\u5217B\u3002<code>axis=1<\/code>\u53c2\u6570\u8868\u793a\u8981\u5220\u9664\u7684\u662f\u5217\uff0c\u800c\u4e0d\u662f\u884c\u3002<\/p>\n<\/p>\n<p><h3>Numpy\u5e93<\/h3>\n<\/p>\n<p><p>Numpy\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u867d\u7136\u5b83\u4e3b\u8981\u7528\u4e8e\u6570\u7ec4\u64cd\u4f5c\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u6765\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u4f7f\u7528Numpy\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u7ec4<\/strong><\/h2>\n<p>arr = np.array([<\/p>\n<p>    [1, 2, 3],<\/p>\n<p>    [4, 5, 6],<\/p>\n<p>    [7, 8, 9]<\/p>\n<p>])<\/p>\n<h2><strong>\u5220\u9664\u7b2c1\u5217\uff08\u7d22\u5f15\u4ece0\u5f00\u59cb\uff09<\/strong><\/h2>\n<p>arr = np.delete(arr, 1, axis=1)<\/p>\n<p>print(arr)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u4e09\u5217\u6570\u636e\u7684Numpy\u6570\u7ec4\uff0c\u7136\u540e\u4f7f\u7528<code>np.delete()<\/code>\u51fd\u6570\u5220\u9664\u7b2c1\u5217\u3002<code>axis=1<\/code>\u53c2\u6570\u8868\u793a\u8981\u5220\u9664\u7684\u662f\u5217\uff0c\u800c\u4e0d\u662f\u884c\u3002<\/p>\n<\/p>\n<p><h3>\u8be6\u7ec6\u63cf\u8ff0\u4f7f\u7528Pandas\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Pandas\u5e93\u4e4b\u6240\u4ee5\u88ab\u5e7f\u6cdb\u4f7f\u7528\uff0c\u662f\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\uff0c\u8fd8\u5177\u6709\u7b80\u6d01\u660e\u4e86\u7684\u8bed\u6cd5\u3002\u4f7f\u7528Pandas\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u521b\u5efaDataFrame<\/strong>\uff1a\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684DataFrame\u3002\u53ef\u4ee5\u4ece\u5b57\u5178\u3001\u5217\u8868\u6216\u5176\u4ed6\u6570\u636e\u7ed3\u6784\u4e2d\u521b\u5efaDataFrame\u3002<\/li>\n<li><strong>\u4f7f\u7528drop()\u65b9\u6cd5<\/strong>\uff1a<code>drop()<\/code>\u65b9\u6cd5\u662fPandas\u5e93\u4e2d\u5220\u9664\u6570\u636e\u7684\u4e3b\u8981\u65b9\u6cd5\u3002\u5b83\u53ef\u4ee5\u5220\u9664\u884c\u6216\u5217\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e<code>axis<\/code>\u53c2\u6570\u7684\u503c\u3002\u5f53<code>axis=1<\/code>\u65f6\uff0c\u8868\u793a\u5220\u9664\u5217\u3002<\/li>\n<li><strong>\u66f4\u65b0DataFrame<\/strong>\uff1a<code>drop()<\/code>\u65b9\u6cd5\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\uff0c\u539f\u59cbDataFrame\u4fdd\u6301\u4e0d\u53d8\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5220\u9664\u5217\u540e\u7684\u65b0DataFrame\u8d4b\u503c\u7ed9\u539f\u59cbDataFrame\u53d8\u91cf\uff0c\u6216\u8005\u8d4b\u503c\u7ed9\u4e00\u4e2a\u65b0\u53d8\u91cf\u3002<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528Pandas\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002\u8fd9\u4e2a\u65b9\u6cd5\u4e0d\u4ec5\u9ad8\u6548\uff0c\u800c\u4e14\u4ee3\u7801\u53ef\u8bfb\u6027\u5f3a\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u5176\u4ed6Pandas\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u9664\u4e86<code>drop()<\/code>\u65b9\u6cd5\uff0cPandas\u5e93\u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u65b9\u6cd5\u6765\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u4f7f\u7528del\u5173\u952e\u5b57<\/strong>\uff1a\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528<code>del<\/code>\u5173\u952e\u5b57\u5220\u9664DataFrame\u4e2d\u7684\u67d0\u4e00\u5217\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">del df[&#39;B&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528pop()\u65b9\u6cd5<\/strong>\uff1a<code>pop()<\/code>\u65b9\u6cd5\u5220\u9664\u6307\u5b9a\u7684\u5217\uff0c\u5e76\u8fd4\u56de\u8be5\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df.pop(&#39;B&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528loc\u7d22\u5f15\u5668<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>loc<\/code>\u7d22\u5f15\u5668\u9009\u62e9\u9700\u8981\u4fdd\u7559\u7684\u5217\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df = df.loc[:, df.columns != &#39;B&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u8fd9\u51e0\u79cd\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4f7f\u7528Numpy\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u867d\u7136Numpy\u5e93\u4e3b\u8981\u7528\u4e8e\u6570\u7ec4\u64cd\u4f5c\uff0c\u4f46\u5b83\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u5220\u9664\u6570\u636e\u3002\u4f8b\u5982\uff0c<code>np.delete()<\/code>\u51fd\u6570\u53ef\u4ee5\u5220\u9664\u6570\u7ec4\u4e2d\u7684\u6307\u5b9a\u884c\u6216\u5217\u3002<\/p>\n<\/p>\n<p><h4>\u4f7f\u7528np.delete()\u51fd\u6570\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e<\/h4>\n<\/p>\n<ol>\n<li><strong>\u521b\u5efaNumpy\u6570\u7ec4<\/strong>\uff1a\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684Numpy\u6570\u7ec4\u3002\u53ef\u4ee5\u4ece\u5217\u8868\u3001\u5143\u7ec4\u6216\u5176\u4ed6\u6570\u636e\u7ed3\u6784\u4e2d\u521b\u5efaNumpy\u6570\u7ec4\u3002<\/li>\n<li><strong>\u4f7f\u7528np.delete()\u51fd\u6570<\/strong>\uff1a<code>np.delete()<\/code>\u51fd\u6570\u662fNumpy\u5e93\u4e2d\u5220\u9664\u6570\u636e\u7684\u4e3b\u8981\u65b9\u6cd5\u3002\u5b83\u53ef\u4ee5\u5220\u9664\u6570\u7ec4\u4e2d\u7684\u6307\u5b9a\u884c\u6216\u5217\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e<code>axis<\/code>\u53c2\u6570\u7684\u503c\u3002\u5f53<code>axis=1<\/code>\u65f6\uff0c\u8868\u793a\u5220\u9664\u5217\u3002<\/li>\n<li><strong>\u66f4\u65b0Numpy\u6570\u7ec4<\/strong>\uff1a<code>np.delete()<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684Numpy\u6570\u7ec4\uff0c\u539f\u59cb\u6570\u7ec4\u4fdd\u6301\u4e0d\u53d8\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5220\u9664\u5217\u540e\u7684\u65b0\u6570\u7ec4\u8d4b\u503c\u7ed9\u539f\u59cb\u6570\u7ec4\u53d8\u91cf\uff0c\u6216\u8005\u8d4b\u503c\u7ed9\u4e00\u4e2a\u65b0\u53d8\u91cf\u3002<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528Numpy\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u4e5f\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002\u8fd9\u4e2a\u65b9\u6cd5\u9002\u7528\u4e8e\u5904\u7406\u6570\u503c\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><h3>\u5176\u4ed6Numpy\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u9664\u4e86<code>np.delete()<\/code>\u51fd\u6570\uff0cNumpy\u5e93\u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u65b9\u6cd5\u6765\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u4f7f\u7528\u5207\u7247\u64cd\u4f5c<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528\u5207\u7247\u64cd\u4f5c\u9009\u62e9\u9700\u8981\u4fdd\u7559\u7684\u5217\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">arr = arr[:, [0, 2]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u9009\u62e9\u9700\u8981\u4fdd\u7559\u7684\u5217\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">mask = np.ones(arr.shape[1], dtype=bool)<\/p>\n<p>mask[1] = False<\/p>\n<p>arr = arr[:, mask]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u8fd9\u51e0\u79cd\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u5c0f\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u6709\u4f7f\u7528Pandas\u5e93\u548c\u4f7f\u7528Numpy\u5e93\u3002<strong>\u4f7f\u7528Pandas\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u6700\u4e3a\u65b9\u4fbf\u5feb\u6377\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u6570\u636e\u5904\u7406\u4efb\u52a1<\/strong>\u3002<strong>\u4f7f\u7528Numpy\u5e93\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u9002\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1<\/strong>\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\uff0c\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5220\u9664DataFrame\u4e2d\u7684\u67d0\u4e00\u5217\uff1f<\/strong><br \/>\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u64cd\u4f5c\u6570\u636e\u3002\u5728DataFrame\u4e2d\u5220\u9664\u67d0\u4e00\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528<code>drop()<\/code>\u65b9\u6cd5\u3002\u5177\u4f53\u5b9e\u73b0\u65b9\u5f0f\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame\ndata = {\n    &#39;A&#39;: [1, 2, 3],\n    &#39;B&#39;: [4, 5, 6],\n    &#39;C&#39;: [7, 8, 9]\n}\ndf = pd.DataFrame(data)\n\n# \u5220\u9664\u5217B\ndf = df.drop(columns=[&#39;B&#39;])\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0cDataFrame\u4e2d\u5217B\u5c06\u88ab\u5220\u9664\u3002<\/p>\n<p><strong>\u5728\u5220\u9664\u5217\u65f6\uff0c\u662f\u5426\u53ef\u4ee5\u9009\u62e9\u4e0d\u4fee\u6539\u539f\u59cbDataFrame\uff1f<\/strong><br \/>\u662f\u7684\uff0c\u53ef\u4ee5\u5728\u5220\u9664\u5217\u65f6\u9009\u62e9\u4e0d\u4fee\u6539\u539f\u59cbDataFrame\u3002\u901a\u8fc7\u8bbe\u7f6e<code>inplace=False<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\u800c\u4e0d\u6539\u53d8\u539f\u59cb\u6570\u636e\u3002\u4f8b\u5982\uff1a  <\/p>\n<pre><code class=\"language-python\">df_new = df.drop(columns=[&#39;B&#39;], inplace=False)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c<code>df<\/code>\u4ecd\u7136\u4fdd\u7559\u539f\u6765\u7684\u6570\u636e\uff0c<code>df_new<\/code>\u5219\u662f\u5220\u9664\u4e86\u5217B\u7684\u526f\u672c\u3002<\/p>\n<p><strong>\u4f7f\u7528NumPy\u6570\u7ec4\u65f6\uff0c\u5982\u4f55\u5220\u9664\u7279\u5b9a\u7684\u5217\uff1f<\/strong><br \/>\u5728NumPy\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>np.delete()<\/code>\u51fd\u6570\u5220\u9664\u6570\u7ec4\u7684\u67d0\u4e00\u5217\u3002\u8fd9\u4e2a\u51fd\u6570\u7684\u57fa\u672c\u8bed\u6cd5\u662f<code>np.delete(arr, obj, axis)<\/code>\uff0c\u5176\u4e2d<code>arr<\/code>\u662f\u6570\u7ec4\uff0c<code>obj<\/code>\u662f\u8981\u5220\u9664\u7684\u5217\u7d22\u5f15\uff0c<code>axis=1<\/code>\u8868\u793a\u5220\u9664\u5217\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import numpy as np\n\n# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8bNumPy\u6570\u7ec4\narray = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n\n# \u5220\u9664\u7b2c\u4e8c\u5217\narray_modified = np.delete(array, 1, axis=1)\nprint(array_modified)\n<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u7b2c\u4e8c\u5217\u88ab\u6210\u529f\u5220\u9664\uff0c\u7ed3\u679c\u4e3a\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5220\u9664\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u6709\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\uff0c\u5177\u4f53\u65b9\u6cd5\u5982\u4e0b\uff1a Pan [&hellip;]","protected":false},"author":3,"featured_media":1111653,"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\/1111648"}],"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=1111648"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1111648\/revisions"}],"predecessor-version":[{"id":1111655,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1111648\/revisions\/1111655"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1111653"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1111648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1111648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1111648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}