{"id":937331,"date":"2024-12-26T19:49:52","date_gmt":"2024-12-26T11:49:52","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/937331.html"},"modified":"2024-12-26T19:49:54","modified_gmt":"2024-12-26T11:49:54","slug":"%e8%a1%a8%e6%a0%bc%e5%a6%82%e4%bd%95%e5%88%87%e5%89%b2-python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/937331.html","title":{"rendered":"\u8868\u683c\u5982\u4f55\u5207\u5272 python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25073206\/ec1c95f7-6a4b-452e-b377-773adb0f6198.webp\" alt=\"\u8868\u683c\u5982\u4f55\u5207\u5272 python\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u5207\u5272\u8868\u683c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Numpy\u5e93\u3001\u4ee5\u53ca\u57fa\u672c\u7684Python\u5207\u7247\u64cd\u4f5c\u7b49\u3002\u9009\u62e9\u9002\u5408\u7684\u5de5\u5177\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u6765\u51b3\u5b9a\uff0c\u6bd4\u5982\u6570\u636e\u91cf\u5927\u5c0f\u3001\u6570\u636e\u5904\u7406\u590d\u6742\u5ea6\u548c\u5176\u4ed6\u7279\u5b9a\u9700\u6c42\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\u3001\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u3001\u64cd\u4f5c\u7b80\u4fbf\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5229\u7528Pandas\u5e93\u6765\u5207\u5272\u8868\u683c\uff0c\u5e76\u5bf9\u5176\u8fdb\u884c\u5904\u7406\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u3001PANDAS\u5e93\u7684\u57fa\u672c\u4ecb\u7ecd<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u5b83\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\uff0c\u7c7b\u4f3c\u4e8eExcel\u7535\u5b50\u8868\u683c\u3002Pandas\u6709\u4e24\u4e2a\u4e3b\u8981\u7684\u6570\u636e\u7ed3\u6784\uff1aSeries\u548cDataFrame\u3002Series\u662f\u4e00\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u5217\u6570\u636e\uff1bDataFrame\u662f\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u8868\u683c\u3002<\/p>\n<\/p>\n<p><p><strong>1. \u5b89\u88c5\u4e0e\u5bfc\u5165Pandas<\/strong><\/p>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165Pandas\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u5207\u5272\u8868\u683c\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aDataFrame\u3002\u4f60\u53ef\u4ee5\u4ece\u591a\u79cd\u6570\u636e\u6e90\u521b\u5efaDataFrame\uff0c\u6bd4\u5982CSV\u6587\u4ef6\u3001Excel\u6587\u4ef6\u3001SQL\u6570\u636e\u5e93\u7b49\u3002\u4ee5\u4e0b\u662f\u4ece\u5b57\u5178\u521b\u5efaDataFrame\u7684\u4e00\u4e2a\u7b80\u5355\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = {<\/p>\n<p>    &#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;, &#39;David&#39;],<\/p>\n<p>    &#39;Age&#39;: [24, 27, 22, 32],<\/p>\n<p>    &#39;City&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;, &#39;Houston&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u5207\u5272\u8868\u683c\u7684\u65b9\u6cd5<\/p>\n<\/p>\n<p><p><strong>1. \u57fa\u4e8e\u5217\u5207\u5272<\/strong><\/p>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u9009\u62e9\u548c\u5207\u5272DataFrame\u4e2d\u7684\u5217\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5217\u540d\u3001\u5217\u7d22\u5f15\u6216\u8005\u6761\u4ef6\u6765\u9009\u62e9\u5217\u3002<\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u5217\u540d\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns = df[[&#39;Name&#39;, &#39;Age&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u5217\u7d22\u5f15\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns = df.iloc[:, [0, 1]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u6761\u4ef6\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns = df.loc[:, df.columns.str.startswith(&#39;C&#39;)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u57fa\u4e8e\u884c\u5207\u5272<\/strong><\/p>\n<\/p>\n<p><p>\u7c7b\u4f3c\u4e8e\u5217\u5207\u5272\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u884c\u7d22\u5f15\u3001\u884c\u6807\u7b7e\u6216\u8005\u6761\u4ef6\u6765\u9009\u62e9DataFrame\u4e2d\u7684\u884c\u3002<\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u884c\u7d22\u5f15\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_rows = df.iloc[0:2]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u884c\u6807\u7b7e\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_rows = df.loc[0:2]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u6761\u4ef6\u9009\u62e9\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_rows = df[df[&#39;Age&#39;] &gt; 25]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u5207\u5272\u4e3a\u591a\u4e2aDataFrame<\/strong><\/p>\n<\/p>\n<p><p>\u6709\u65f6\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u5c06\u4e00\u4e2a\u5927\u7684DataFrame\u5207\u5272\u6210\u591a\u4e2a\u8f83\u5c0f\u7684DataFrame\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u8fdb\u884c\u5207\u5272\uff0c\u6bd4\u5982\u5206\u7ec4\u5217\u7684\u503c\u3002<\/p>\n<\/p>\n<ul>\n<li>\u57fa\u4e8e\u5217\u503c\u5206\u7ec4\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">grouped = df.groupby(&#39;City&#39;)<\/p>\n<p>for city, group in grouped:<\/p>\n<p>    print(f&quot;City: {city}&quot;)<\/p>\n<p>    print(group)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u4f7f\u7528numpy\u6570\u7ec4\u8fdb\u884c\u5206\u5757\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>chunks = np.array_split(df, 2)<\/p>\n<p>for chunk in chunks:<\/p>\n<p>    print(chunk)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u5207\u5272\u540e\u7684\u6570\u636e\u64cd\u4f5c<\/p>\n<\/p>\n<p><p><strong>1. \u6570\u636e\u7edf\u8ba1<\/strong><\/p>\n<\/p>\n<p><p>\u5207\u5272\u540e\u7684\u6570\u636e\u53ef\u4ee5\u8fdb\u884c\u591a\u79cd\u7edf\u8ba1\u64cd\u4f5c\uff0c\u6bd4\u5982\u6c42\u548c\u3001\u5e73\u5747\u503c\u3001\u6700\u5927\u503c\u3001\u6700\u5c0f\u503c\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">mean_age = selected_rows[&#39;Age&#39;].mean()<\/p>\n<p>sum_age = selected_rows[&#39;Age&#39;].sum()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u6570\u636e\u8f6c\u6362\u4e0e\u5904\u7406<\/strong><\/p>\n<\/p>\n<p><p>\u5207\u5272\u540e\u7684\u6570\u636e\u53ef\u4ee5\u8fdb\u884c\u5404\u79cd\u8f6c\u6362\uff0c\u6bd4\u5982\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3001\u6570\u636e\u683c\u5f0f\u5316\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[&#39;Age&#39;] = df[&#39;Age&#39;].astype(float)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u6570\u636e\u5bfc\u51fa<\/strong><\/p>\n<\/p>\n<p><p>\u5904\u7406\u540e\u7684\u6570\u636e\u53ef\u4ee5\u5bfc\u51fa\u5230\u591a\u79cd\u683c\u5f0f\uff0c\u6bd4\u5982CSV\u3001Excel\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df.to_csv(&#39;output.csv&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u5b9e\u9645\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n<p><p><strong>1. \u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u7684\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u9884\u5904\u7406\u3002\u901a\u8fc7\u5207\u5272\u8868\u683c\uff0c\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u5904\u7406\u4e0d\u540c\u7684\u5217\u548c\u884c\uff0c\u53bb\u9664\u4e0d\u9700\u8981\u7684\u6570\u636e\uff0c\u586b\u5145\u7f3a\u5931\u503c\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>2. \u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<\/p>\n<p><p>\u5207\u5272\u540e\u7684\u6570\u636e\u53ef\u4ee5\u7528\u4e8e\u53ef\u89c6\u5316\uff0c\u6bd4\u5982\u7ed8\u5236\u56fe\u8868\u3001\u751f\u6210\u62a5\u544a\u7b49\u3002Pandas\u4e0eMatplotlib\u3001Seaborn\u7b49\u53ef\u89c6\u5316\u5e93\u7ed3\u5408\u4f7f\u7528\uff0c\u53ef\u4ee5\u5feb\u901f\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>plt.bar(selected_rows[&#39;Name&#39;], selected_rows[&#39;Age&#39;])<\/p>\n<p>plt.xlabel(&#39;Name&#39;)<\/p>\n<p>plt.ylabel(&#39;Age&#39;)<\/p>\n<p>plt.title(&#39;Age of Selected Individuals&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u5206\u6790\u4e0e\u5efa\u6a21<\/strong><\/p>\n<\/p>\n<p><p>\u5207\u5272\u8868\u683c\u53ef\u4ee5\u5e2e\u52a9\u6570\u636e\u5206\u6790\u5e08\u548c\u6570\u636e\u79d1\u5b66\u5bb6\u4e13\u6ce8\u4e8e\u7279\u5b9a\u7684\u6570\u636e\u5b50\u96c6\uff0c\u4ece\u800c\u66f4\u597d\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5efa\u6a21\u5de5\u4f5c\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u5207\u5272\u8868\u683c\u662f\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u57fa\u672c\u64cd\u4f5c\u4e4b\u4e00\u3002\u901a\u8fc7\u4f7f\u7528Pandas\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u8868\u683c\u8fdb\u884c\u5207\u5272\u3001\u64cd\u4f5c\u548c\u5bfc\u51fa\u3002\u638c\u63e1\u8fd9\u4e9b\u6280\u672f\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u9ad8\u6548\u5730\u5904\u7406\u6570\u636e\uff0c\u4e3a\u4f60\u7684\u6570\u636e\u5206\u6790\u5de5\u4f5c\u6253\u4e0b\u575a\u5b9e\u7684\u57fa\u7840\u3002\u65e0\u8bba\u662f\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u53ef\u89c6\u5316\u8fd8\u662f\u5206\u6790\u5efa\u6a21\uff0c\u8868\u683c\u5207\u5272\u90fd\u662f\u4e00\u9879\u91cd\u8981\u7684\u6280\u80fd\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5207\u5272\u8868\u683c\u4e2d\u7684\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u5229\u7528pandas\u5e93\u8f7b\u677e\u5730\u5bf9\u8868\u683c\u6570\u636e\u8fdb\u884c\u5207\u5272\u3002\u9996\u5148\uff0c\u901a\u8fc7pandas\u8bfb\u53d6\u8868\u683c\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528\u5207\u7247\u64cd\u4f5c\u6216\u6761\u4ef6\u8fc7\u6ee4\u6765\u9009\u62e9\u7279\u5b9a\u7684\u884c\u548c\u5217\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6\u8868\u683c\u6570\u636e\ndf = pd.read_csv(&#39;data.csv&#39;)\n\n# \u5207\u5272\u7279\u5b9a\u7684\u884c\u548c\u5217\nsubset = df.loc[0:10, [&#39;Column1&#39;, &#39;Column2&#39;]]\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u83b7\u53d6\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u5e93\u6765\u5207\u5272\u8868\u683c\u6570\u636e\uff1f<\/strong><br \/>\u9664\u4e86pandas\uff0cPython\u8fd8\u6709\u5176\u4ed6\u5e93\u53ef\u4ee5\u5904\u7406\u8868\u683c\u6570\u636e\uff0c\u6bd4\u5982openpyxl\u548ccsv\u5e93\u3002openpyxl\u9002\u7528\u4e8eExcel\u6587\u4ef6\uff0c\u800ccsv\u5e93\u5219\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u5207\u5272\u540e\u8868\u683c\u4e2d\u7684\u7f3a\u5931\u503c\uff1f<\/strong><br \/>\u5728\u5207\u5272\u8868\u683c\u6570\u636e\u540e\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u7684\u95ee\u9898\u3002\u4f7f\u7528pandas\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7<code>dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u7f3a\u5931\u503c\uff0c\u6216\u4f7f\u7528<code>fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\"># \u5220\u9664\u7f3a\u5931\u503c\ncleaned_data = subset.dropna()\n\n# \u586b\u5145\u7f3a\u5931\u503c\nfilled_data = subset.fillna(0)  # \u4f7f\u75280\u586b\u5145\n<\/code><\/pre>\n<p>\u8fd9\u6837\u80fd\u591f\u786e\u4fdd\u540e\u7eed\u5206\u6790\u7684\u6570\u636e\u8d28\u91cf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5207\u5272\u8868\u683c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Numpy\u5e93\u3001\u4ee5\u53ca\u57fa\u672c\u7684Python\u5207 [&hellip;]","protected":false},"author":3,"featured_media":937334,"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\/937331"}],"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=937331"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937331\/revisions"}],"predecessor-version":[{"id":937336,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937331\/revisions\/937336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/937334"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=937331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=937331"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=937331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}