{"id":1120168,"date":"2025-01-08T18:53:23","date_gmt":"2025-01-08T10:53:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1120168.html"},"modified":"2025-01-08T18:53:27","modified_gmt":"2025-01-08T10:53:27","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad%e6%b7%bb%e5%8a%a0%e4%b8%80%e5%88%97%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1120168.html","title":{"rendered":"\u5982\u4f55\u5728python\u4e2d\u6dfb\u52a0\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\/25082936\/c4c715a4-1aa8-4704-9dcb-c55303bac769.webp\" alt=\"\u5982\u4f55\u5728python\u4e2d\u6dfb\u52a0\u4e00\u5217\u6570\u636e\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\u3001\u76f4\u63a5\u64cd\u4f5c\u539f\u59cb\u5217\u8868\u3002<\/strong> \u5176\u4e2d\uff0c<strong>Pandas\u5e93<\/strong>\u7531\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u7075\u6d3b\u6027\uff0c\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528Pandas\u5e93\u6765\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p><p><strong>Pandas<\/strong>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5de5\u5177\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u64cd\u4f5c\u6570\u636e\u96c6\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u4e2d\u7684<code>DataFrame<\/code>\u5bf9\u8c61\u6765\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h2>1. \u521b\u5efaDataFrame\u5bf9\u8c61<\/h2>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aPandas\u7684DataFrame\u5bf9\u8c61\u3002DataFrame\u662f\u4e00\u79cd\u8868\u683c\u578b\u7684\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8eExcel\u8868\u683c\u6216SQL\u8868\u683c\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684DataFrame\u5bf9\u8c61\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684DataFrame\u5bf9\u8c61<\/strong><\/h2>\n<p>data = {<\/p>\n<p>    &#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;],<\/p>\n<p>    &#39;Age&#39;: [25, 30, 35]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>      Name  Age<\/p>\n<p>0    Alice   25<\/p>\n<p>1      Bob   30<\/p>\n<p>2  Charlie   35<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5411DataFrame\u5bf9\u8c61\u4e2d\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h3>\u65b9\u6cd51\uff1a\u76f4\u63a5\u8d4b\u503c<\/h3>\n<\/p>\n<p><p>\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u662f\u76f4\u63a5\u4e3a\u65b0\u7684\u5217\u8d4b\u503c\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u4e00\u5217<code>Gender<\/code>\uff0c\u5e76\u4e3a\u6bcf\u4e2a\u5143\u7d20\u8d4b\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u76f4\u63a5\u8d4b\u503c\u6dfb\u52a0\u4e00\u5217<\/p>\n<p>df[&#39;Gender&#39;] = [&#39;Female&#39;, &#39;Male&#39;, &#39;Male&#39;]<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>      Name  Age  Gender<\/p>\n<p>0    Alice   25  Female<\/p>\n<p>1      Bob   30    Male<\/p>\n<p>2  Charlie   35    Male<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u65b9\u6cd52\uff1a\u4f7f\u7528<code>assign<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>Pandas\u5e93\u4e2d\u7684<code>assign<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u6dfb\u52a0\u4e00\u5217\u6570\u636e\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\u5bf9\u8c61\uff0c\u800c\u4e0d\u6539\u53d8\u539f\u59cbDataFrame\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4f7f\u7528assign\u65b9\u6cd5\u6dfb\u52a0\u4e00\u5217<\/p>\n<p>df_new = df.assign(Gender=[&#39;Female&#39;, &#39;Male&#39;, &#39;Male&#39;])<\/p>\n<p>print(df_new)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>      Name  Age  Gender<\/p>\n<p>0    Alice   25  Female<\/p>\n<p>1      Bob   30    Male<\/p>\n<p>2  Charlie   35    Male<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u65b9\u6cd53\uff1a\u4f7f\u7528<code>insert<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>insert<\/code>\u65b9\u6cd5\u5728\u6307\u5b9a\u4f4d\u7f6e\u63d2\u5165\u4e00\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5728\u6307\u5b9a\u4f4d\u7f6e\u63d2\u5165\u4e00\u5217<\/p>\n<p>df.insert(1, &#39;Gender&#39;, [&#39;Female&#39;, &#39;Male&#39;, &#39;Male&#39;])<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>      Name  Gender  Age<\/p>\n<p>0    Alice  Female   25<\/p>\n<p>1      Bob    Male   30<\/p>\n<p>2  Charlie    Male   35<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e8c\u3001\u4f7f\u7528Numpy\u5e93\u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p><p><strong>Numpy<\/strong>\u662f\u53e6\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u5e38\u7528\u4e8e\u5904\u7406\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u6211\u4eec\u4e5f\u53ef\u4ee5\u4f7f\u7528Numpy\u5e93\u6765\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h2>1. \u521b\u5efaNumpy\u6570\u7ec4<\/h2>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aNumpy\u6570\u7ec4\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684Numpy\u6570\u7ec4\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u7ef4Numpy\u6570\u7ec4<\/strong><\/h2>\n<p>data = np.array([<\/p>\n<p>    [&#39;Alice&#39;, 25],<\/p>\n<p>    [&#39;Bob&#39;, 30],<\/p>\n<p>    [&#39;Charlie&#39;, 35]<\/p>\n<p>])<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>[[&#39;Alice&#39; &#39;25&#39;]<\/p>\n<p> [&#39;Bob&#39; &#39;30&#39;]<\/p>\n<p> [&#39;Charlie&#39; &#39;35&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>np.column_stack<\/code>\u51fd\u6570\u5c06\u65b0\u5217\u6dfb\u52a0\u5230Numpy\u6570\u7ec4\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/p>\n<p>new_column = np.array([&#39;Female&#39;, &#39;Male&#39;, &#39;Male&#39;]).reshape(-1, 1)<\/p>\n<p>data = np.column_stack((data, new_column))<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>[[&#39;Alice&#39; &#39;25&#39; &#39;Female&#39;]<\/p>\n<p> [&#39;Bob&#39; &#39;30&#39; &#39;Male&#39;]<\/p>\n<p> [&#39;Charlie&#39; &#39;35&#39; &#39;Male&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e09\u3001\u76f4\u63a5\u64cd\u4f5c\u539f\u59cb\u5217\u8868<\/strong><\/h2>\n<p><p>\u5982\u679c\u6211\u4eec\u7684\u6570\u636e\u5b58\u50a8\u5728\u539f\u59cb\u5217\u8868\u4e2d\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u76f4\u63a5\u64cd\u4f5c\u8fd9\u4e9b\u5217\u8868\u6765\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h2>1. \u521b\u5efa\u539f\u59cb\u5217\u8868<\/h2>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u539f\u59cb\u5217\u8868\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u539f\u59cb\u5217\u8868\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u539f\u59cb\u5217\u8868<\/p>\n<p>data = [<\/p>\n<p>    [&#39;Alice&#39;, 25],<\/p>\n<p>    [&#39;Bob&#39;, 30],<\/p>\n<p>    [&#39;Charlie&#39;, 35]<\/p>\n<p>]<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>[[&#39;Alice&#39;, 25], [&#39;Bob&#39;, 30], [&#39;Charlie&#39;, 35]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u8fed\u4ee3\u6bcf\u4e2a\u5b50\u5217\u8868\uff0c\u5e76\u5c06\u65b0\u5143\u7d20\u6dfb\u52a0\u5230\u5b50\u5217\u8868\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u4e00\u5217\u6570\u636e<\/p>\n<p>new_column = [&#39;Female&#39;, &#39;Male&#39;, &#39;Male&#39;]<\/p>\n<p>for i in range(len(data)):<\/p>\n<p>    data[i].append(new_column[i])<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>[[&#39;Alice&#39;, 25, &#39;Female&#39;], [&#39;Bob&#39;, 30, &#39;Male&#39;], [&#39;Charlie&#39;, 35, &#39;Male&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u56db\u3001\u603b\u7ed3<\/strong><\/h2>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u8f7b\u677e\u5730\u5411\u6570\u636e\u96c6\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002\u5bf9\u4e8e\u5904\u7406\u8f83\u590d\u6742\u7684\u6570\u636e\u96c6\uff0c\u63a8\u8350\u4f7f\u7528<strong>Pandas\u5e93<\/strong>\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u548c\u7075\u6d3b\u6027\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u6570\u7ec4\u64cd\u4f5c\uff0c\u53ef\u4ee5\u4f7f\u7528<strong>Numpy\u5e93<\/strong>\u3002\u800c\u5bf9\u4e8e\u975e\u5e38\u7b80\u5355\u7684\u5217\u8868\u64cd\u4f5c\uff0c\u53ef\u4ee5\u76f4\u63a5\u64cd\u4f5c\u539f\u59cb\u5217\u8868\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6211\u4eec\u7684\u5de5\u4f5c\u6548\u7387\uff0c\u5e76\u786e\u4fdd\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Pandas\u6dfb\u52a0\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u662f\u975e\u5e38\u7b80\u5355\u7684\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u6307\u5b9a\u5217\u540d\u5e76\u8d4b\u503c\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u6709\u4e00\u4e2aDataFrame\u5e76\u5e0c\u671b\u6dfb\u52a0\u4e00\u5217\u540d\u4e3a&quot;\u65b0\u5217&quot;\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame\ndf = pd.DataFrame({&#39;A&#39;: [1, 2, 3], &#39;B&#39;: [4, 5, 6]})\n\n# \u6dfb\u52a0\u65b0\u5217\ndf[&#39;\u65b0\u5217&#39;] = [7, 8, 9]\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u6837\u5c31\u4f1a\u5728DataFrame\u4e2d\u6210\u529f\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u65f6\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u6ce8\u610f\u4e8b\u9879\uff1f<\/strong><br \/>\u6dfb\u52a0\u65b0\u5217\u65f6\u9700\u8981\u6ce8\u610f\u51e0\u4e2a\u65b9\u9762\u3002\u9996\u5148\uff0c\u786e\u4fdd\u65b0\u5217\u7684\u6570\u636e\u957f\u5ea6\u4e0e\u73b0\u6709DataFrame\u7684\u884c\u6570\u5339\u914d\uff0c\u5426\u5219\u4f1a\u5f15\u53d1\u9519\u8bef\u3002\u5176\u6b21\uff0c\u8003\u8651\u5217\u7684\u6570\u636e\u7c7b\u578b\uff0c\u786e\u4fdd\u65b0\u5217\u7684\u6570\u636e\u4e0e\u5176\u4ed6\u5217\u7684\u903b\u8f91\u4e00\u81f4\u3002\u6700\u540e\uff0c\u4f7f\u7528\u9002\u5f53\u7684\u65b9\u6cd5\u6dfb\u52a0\u5217\uff0c\u6bd4\u5982\u4f7f\u7528<code>assign()<\/code>\u51fd\u6570\u6216<code>insert()<\/code>\u65b9\u6cd5\uff0c\u6765\u4fdd\u6301\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7075\u6d3b\u6027\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u6839\u636e\u6761\u4ef6\u6dfb\u52a0\u65b0\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5df2\u6709\u5217\u7684\u6761\u4ef6\u6765\u6dfb\u52a0\u65b0\u5217\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7<code>apply()<\/code>\u51fd\u6570\u6216NumPy\u7684<code>where()<\/code>\u51fd\u6570\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u6839\u636e\u5217&#39;A&#39;\u7684\u503c\u6765\u521b\u5efa\u65b0\u5217&#39;C&#39;\uff0c\u53ef\u4ee5\u7528\u5982\u4e0b\u65b9\u5f0f\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({&#39;A&#39;: [1, 2, 3], &#39;B&#39;: [4, 5, 6]})\ndf[&#39;C&#39;] = np.where(df[&#39;A&#39;] &gt; 1, &#39;\u5927\u4e8e1&#39;, &#39;\u5c0f\u4e8e\u7b49\u4e8e1&#39;)\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u4f60\u5c31\u6839\u636e\u6761\u4ef6\u4e3a\u65b0\u5217\u8d4b\u503c\uff0c\u80fd\u591f\u66f4\u7075\u6d3b\u5730\u5904\u7406\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u6dfb\u52a0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\u3001\u76f4\u63a5\u64cd\u4f5c\u539f\u59cb\u5217\u8868\u3002 \u5176\u4e2d\uff0cPa [&hellip;]","protected":false},"author":3,"featured_media":1120177,"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\/1120168"}],"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=1120168"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1120168\/revisions"}],"predecessor-version":[{"id":1120181,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1120168\/revisions\/1120181"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1120177"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1120168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1120168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1120168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}