{"id":1100637,"date":"2025-01-08T15:41:56","date_gmt":"2025-01-08T07:41:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1100637.html"},"modified":"2025-01-08T15:41:59","modified_gmt":"2025-01-08T07:41:59","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e6%8f%90%e5%8f%96%e6%9f%90%e4%b8%80%e5%88%97-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1100637.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u63d0\u53d6\u67d0\u4e00\u5217"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063800\/923ca885-b3a1-4c74-b94c-2e242a758d0b.webp\" alt=\"python\u4e2d\u5982\u4f55\u63d0\u53d6\u67d0\u4e00\u5217\" \/><\/p>\n<p><p> \u5728Python\u4e2d\uff0c\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u4f7f\u7528\u7684\u6570\u636e\u5904\u7406\u5e93\u3002\u6700\u5e38\u7528\u7684\u5e93\u662fPandas\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002<strong>\u4f7f\u7528Pandas\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5217\u540d\u8fdb\u884c\u7d22\u5f15\u3001\u4f7f\u7528iloc\u7d22\u5f15\u3001\u4f7f\u7528loc\u7d22\u5f15\u3001\u4f7f\u7528at\u51fd\u6570\u8fdb\u884c\u5355\u503c\u63d0\u53d6<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u5217\u540d\u8fdb\u884c\u7d22\u5f15\u662f\u6700\u5e38\u89c1\u548c\u76f4\u89c2\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7DataFrame\u5bf9\u8c61\u76f4\u63a5\u4f7f\u7528\u5217\u540d\u7d22\u5f15\u6765\u63d0\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<h2><strong>\u4f7f\u7528\u5217\u540d\u8fdb\u884c\u7d22\u5f15<\/strong><\/h2>\n<p><p>\u901a\u8fc7\u4f7f\u7528\u5217\u540d\u76f4\u63a5\u8fdb\u884c\u7d22\u5f15\u662f\u6700\u7b80\u5355\u548c\u6700\u5e38\u89c1\u7684\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u3002\u8fd9\u4e2a\u65b9\u6cd5\u4e0d\u4ec5\u76f4\u89c2\uff0c\u800c\u4e14\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/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>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u63d0\u53d6&#39;age&#39;\u5217<\/strong><\/h2>\n<p>age_column = df[&#39;age&#39;]<\/p>\n<p>print(age_column)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u4e09\u5217\u6570\u636e\u7684DataFrame\uff0c\u5e76\u901a\u8fc7\u5217\u540d&#39;age&#39;\u6765\u63d0\u53d6age\u5217\u7684\u6570\u636e\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u63d0\u53d6\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u5217\u3002<\/p>\n<\/p>\n<p><h2>\u4f7f\u7528iloc\u7d22\u5f15<\/h2>\n<\/p>\n<p><p>iloc\u7d22\u5f15\u662f\u4e00\u79cd\u901a\u8fc7\u4f4d\u7f6e\u7d22\u5f15\u63d0\u53d6\u6570\u636e\u7684\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u4f60\u4f7f\u7528\u884c\u548c\u5217\u7684\u6574\u6570\u4f4d\u7f6e\u6765\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/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>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u63d0\u53d6\u7b2c\u4e8c\u5217\uff08age\u5217\uff09<\/strong><\/h2>\n<p>age_column = df.iloc[:, 1]<\/p>\n<p>print(age_column)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528iloc\u7d22\u5f15\u6765\u63d0\u53d6\u7b2c\u4e8c\u5217\u7684\u6570\u636e\u3002iloc\u7d22\u5f15\u901a\u8fc7\u63d0\u4f9b\u884c\u548c\u5217\u7684\u4f4d\u7f6e\u7d22\u5f15\u6765\u8fdb\u884c\u6570\u636e\u63d0\u53d6\u3002\u7b2c\u4e00\u4e2a\u53c2\u6570\u8868\u793a\u884c\u7d22\u5f15\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u8868\u793a\u5217\u7d22\u5f15\u3002\u901a\u8fc7\u4f7f\u7528\u5192\u53f7\uff08:\uff09\u8868\u793a\u6240\u6709\u884c\uff0c\u5e76\u6307\u5b9a\u5217\u7684\u4f4d\u7f6e\u7d22\u5f151\uff0c\u6211\u4eec\u63d0\u53d6\u4e86age\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h2>\u4f7f\u7528loc\u7d22\u5f15<\/h2>\n<\/p>\n<p><p>loc\u7d22\u5f15\u662f\u4e00\u79cd\u901a\u8fc7\u6807\u7b7e\u7d22\u5f15\u63d0\u53d6\u6570\u636e\u7684\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u4f60\u4f7f\u7528\u884c\u548c\u5217\u7684\u6807\u7b7e\u6765\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/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>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u63d0\u53d6&#39;age&#39;\u5217<\/strong><\/h2>\n<p>age_column = df.loc[:, &#39;age&#39;]<\/p>\n<p>print(age_column)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528loc\u7d22\u5f15\u6765\u63d0\u53d6age\u5217\u7684\u6570\u636e\u3002loc\u7d22\u5f15\u901a\u8fc7\u63d0\u4f9b\u884c\u548c\u5217\u7684\u6807\u7b7e\u6765\u8fdb\u884c\u6570\u636e\u63d0\u53d6\u3002\u7b2c\u4e00\u4e2a\u53c2\u6570\u8868\u793a\u884c\u6807\u7b7e\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u8868\u793a\u5217\u6807\u7b7e\u3002\u901a\u8fc7\u4f7f\u7528\u5192\u53f7\uff08:\uff09\u8868\u793a\u6240\u6709\u884c\uff0c\u5e76\u6307\u5b9a\u5217\u7684\u6807\u7b7e&#39;age&#39;\uff0c\u6211\u4eec\u63d0\u53d6\u4e86age\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h2>\u4f7f\u7528at\u51fd\u6570\u8fdb\u884c\u5355\u503c\u63d0\u53d6<\/h2>\n<\/p>\n<p><p>at\u51fd\u6570\u662f\u4e00\u79cd\u7528\u4e8e\u63d0\u53d6\u5355\u4e2a\u503c\u7684\u9ad8\u6548\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u4f60\u4f7f\u7528\u884c\u548c\u5217\u7684\u6807\u7b7e\u6765\u63d0\u53d6\u7279\u5b9a\u7684\u5355\u4e2a\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/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>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u63d0\u53d6\u7b2c\u4e8c\u884c\u7684&#39;age&#39;\u5217\u7684\u503c<\/strong><\/h2>\n<p>age_value = df.at[1, &#39;age&#39;]<\/p>\n<p>print(age_value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528at\u51fd\u6570\u6765\u63d0\u53d6\u7b2c\u4e8c\u884c\u7684age\u5217\u7684\u503c\u3002at\u51fd\u6570\u901a\u8fc7\u63d0\u4f9b\u884c\u548c\u5217\u7684\u6807\u7b7e\u6765\u8fdb\u884c\u5355\u4e2a\u503c\u7684\u63d0\u53d6\u3002\u901a\u8fc7\u6307\u5b9a\u884c\u6807\u7b7e1\u548c\u5217\u6807\u7b7e&#39;age&#39;\uff0c\u6211\u4eec\u63d0\u53d6\u4e86\u7b2c\u4e8c\u884c\u7684age\u5217\u7684\u503c\u3002<\/p>\n<\/p>\n<p><h2>\u7ed3\u5408\u5e94\u7528<\/h2>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u63d0\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u901a\u5e38\u662f\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u7b2c\u4e00\u6b65\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7ed3\u5408\u5e94\u7528\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/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>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u63d0\u53d6&#39;age&#39;\u5217<\/strong><\/h2>\n<p>age_column = df[&#39;age&#39;]<\/p>\n<h2><strong>\u8ba1\u7b97\u5e73\u5747\u5e74\u9f84<\/strong><\/h2>\n<p>average_age = age_column.mean()<\/p>\n<p>print(f&#39;Average age: {average_age}&#39;)<\/p>\n<h2><strong>\u8fc7\u6ee4\u5e74\u9f84\u5927\u4e8e30\u7684\u6570\u636e<\/strong><\/h2>\n<p>filtered_data = df[df[&#39;age&#39;] &gt; 30]<\/p>\n<p>print(filtered_data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u63d0\u53d6\u4e86age\u5217\u7684\u6570\u636e\uff0c\u7136\u540e\u8ba1\u7b97\u4e86\u5e73\u5747\u5e74\u9f84\uff0c\u5e76\u8fc7\u6ee4\u51fa\u5e74\u9f84\u5927\u4e8e30\u7684\u6570\u636e\u3002\u901a\u8fc7\u7ed3\u5408\u5e94\u7528\u4e0d\u540c\u7684\u6570\u636e\u5904\u7406\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u5b8c\u6210\u5404\u79cd\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><h2>\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u5728Python\u4e2d\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u6700\u5e38\u7528\u7684\u662f\u4f7f\u7528Pandas\u5e93\u3002\u901a\u8fc7\u4f7f\u7528\u5217\u540d\u8fdb\u884c\u7d22\u5f15\u3001iloc\u7d22\u5f15\u3001loc\u7d22\u5f15\u548cat\u51fd\u6570\u8fdb\u884c\u5355\u503c\u63d0\u53d6\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u63d0\u53d6\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u5217\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u4ee5\u5b8c\u6210\u5404\u79cd\u4efb\u52a1\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u636e\u63d0\u53d6\uff0c\u8fd8\u662f\u590d\u6742\u7684\u6570\u636e\u5206\u6790\uff0cPandas\u90fd\u80fd\u4e3a\u4f60\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u63d0\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\u63d0\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u901a\u5e38\u4f9d\u8d56\u4e8ePandas\u5e93\u3002\u5f53\u4f60\u52a0\u8f7d\u4e00\u4e2a\u6570\u636e\u6846\uff08DataFrame\uff09\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u5217\u540d\u6216\u5217\u7d22\u5f15\u8f7b\u677e\u8bbf\u95ee\u7279\u5b9a\u5217\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2aCSV\u6587\u4ef6\ndf = pd.read_csv(&#39;data.csv&#39;)\n# \u63d0\u53d6\u540d\u4e3a&#39;column_name&#39;\u7684\u5217\nspecific_column = df[&#39;column_name&#39;]\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u83b7\u5f97\u5305\u542b\u8be5\u5217\u6240\u6709\u6570\u636e\u7684Series\u5bf9\u8c61\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u5728Python\u4e2d\u63d0\u53d6\u591a\u5217\u5417\uff1f<\/strong><br \/>\u5f53\u7136\u53ef\u4ee5\u3002\u5728Pandas\u4e2d\u63d0\u53d6\u591a\u5217\u4e5f\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u5c06\u5217\u540d\u653e\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\u3002\u4f8b\u5982\uff1a  <\/p>\n<pre><code class=\"language-python\">multiple_columns = df[[&#39;column_name1&#39;, &#39;column_name2&#39;]]\n<\/code><\/pre>\n<p>\u8fd9\u6837\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\uff0c\u4ec5\u5305\u542b\u6240\u9009\u62e9\u7684\u5217\u3002<\/p>\n<p><strong>\u5982\u679c\u5217\u540d\u5305\u542b\u7a7a\u683c\u6216\u7279\u6b8a\u5b57\u7b26\uff0c\u5982\u4f55\u63d0\u53d6\uff1f<\/strong><br \/>\u5728\u5217\u540d\u4e2d\u5305\u542b\u7a7a\u683c\u6216\u7279\u6b8a\u5b57\u7b26\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u53cd\u5f15\u53f7\uff08<code>\uff09\u5c06\u5217\u540d\u62ec\u8d77\u6765\uff0c\u6216\u8005\u4f7f\u7528<\/code>get`\u65b9\u6cd5\u3002\u4f8b\u5982\uff1a  <\/p>\n<pre><code class=\"language-python\"># \u4f7f\u7528\u53cd\u5f15\u53f7\nspecific_column = df[&#39;column name with spaces&#39;]\n\n# \u4f7f\u7528get\u65b9\u6cd5\nspecific_column = df.get(&#39;column name with spaces&#39;)\n<\/code><\/pre>\n<p>\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u6b63\u786e\u63d0\u53d6\u6570\u636e\uff0c\u907f\u514d\u56e0\u5217\u540d\u683c\u5f0f\u95ee\u9898\u800c\u5bfc\u81f4\u7684\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u63d0\u53d6\u67d0\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u4f7f\u7528\u7684\u6570\u636e\u5904\u7406\u5e93\u3002\u6700\u5e38\u7528\u7684\u5e93\u662fPandas\uff0c\u5b83\u63d0\u4f9b\u4e86 [&hellip;]","protected":false},"author":3,"featured_media":1100650,"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\/1100637"}],"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=1100637"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1100637\/revisions"}],"predecessor-version":[{"id":1100653,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1100637\/revisions\/1100653"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1100650"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1100637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1100637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1100637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}