{"id":1130585,"date":"2025-01-08T20:41:28","date_gmt":"2025-01-08T12:41:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1130585.html"},"modified":"2025-01-08T20:41:30","modified_gmt":"2025-01-08T12:41:30","slug":"python%e5%a6%82%e4%bd%95%e5%88%9d%e5%a7%8b%e5%8c%96%e4%b8%80%e4%b8%aa%e6%95%b0%e7%bb%84","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1130585.html","title":{"rendered":"python\u5982\u4f55\u521d\u59cb\u5316\u4e00\u4e2a\u6570\u7ec4"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25100623\/c6db8907-f545-4311-948b-a7070aeff27f.webp\" alt=\"python\u5982\u4f55\u521d\u59cb\u5316\u4e00\u4e2a\u6570\u7ec4\" \/><\/p>\n<p><p> <strong>Python \u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528\u6570\u7ec4\u6a21\u5757\u3001\u4f7f\u7528NumPy\u5e93\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528NumPy\u5e93\u662f\u975e\u5e38\u9ad8\u6548\u548c\u5e38\u7528\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\u3002NumPy\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u8fd8\u80fd\u5728\u6027\u80fd\u4e0a\u663e\u8457\u4f18\u4e8e\u7eafPython\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u4f7f\u7528\u5217\u8868<\/h2>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u5217\u8868\u662f\u6700\u7b80\u5355\u548c\u76f4\u63a5\u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u6cd5\u3002\u5217\u8868\u662fPython\u5185\u7f6e\u7684\u6570\u636e\u7ed3\u6784\uff0c\u652f\u6301\u52a8\u6001\u5927\u5c0f\u548c\u4e0d\u540c\u7c7b\u578b\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u5143\u7d20\u7684\u5217\u8868<\/p>\n<p>array = [0, 1, 2, 3, 4]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u7b80\u5355\u6613\u7528\uff0c\u4f46\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u6027\u80fd\u53ef\u80fd\u4e0d\u5982\u4e13\u95e8\u7684\u6570\u7ec4\u5e93\u3002<\/p>\n<\/p>\n<p><h2>\u4e8c\u3001\u4f7f\u7528\u6570\u7ec4\u6a21\u5757<\/h2>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u6570\u7ec4\u64cd\u4f5c\u7684\u6a21\u5757\u2014\u2014<code>array<\/code>\u6a21\u5757\u3002<code>array<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u56fa\u5b9a\u7c7b\u578b\u7684\u6570\u7ec4\uff0c\u8fd9\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u80fd\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import array<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u6574\u6570\u7684\u6570\u7ec4<\/strong><\/h2>\n<p>arr = array.array(&#39;i&#39;, [0, 1, 2, 3, 4])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>array<\/code>\u6a21\u5757\u8981\u6c42\u6307\u5b9a\u6570\u7ec4\u7684\u6570\u636e\u7c7b\u578b\uff08\u5982&#39;i&#39;\u8868\u793a\u6574\u6570\uff09\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u5b58\u50a8\u548c\u64cd\u4f5c\u4e0a\u66f4\u4e3a\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h2>\u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/h2>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u5f3a\u5927\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u591a\u79cd\u521b\u5efa\u548c\u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u5e76\u4e14\u5728\u6570\u503c\u8ba1\u7b97\u65b9\u9762\u6027\u80fd\u4f18\u5f02\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u5143\u7d20\u7684\u4e00\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>array = np.array([0, 1, 2, 3, 4])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>NumPy\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u9ad8\u6548\u7684\u6027\u80fd\u3002<\/strong><\/p>\n<\/p>\n<p><h4>1\u3001\u521b\u5efa\u591a\u7ef4\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>NumPy\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u591a\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a2x3\u7684\u4e8c\u7ef4\u6570\u7ec4<\/p>\n<p>array_2d = np.array([[0, 1, 2], [3, 4, 5]])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u4f7f\u7528\u7279\u5b9a\u51fd\u6570\u521d\u59cb\u5316\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u4fbf\u7684\u51fd\u6570\u6765\u521d\u59cb\u5316\u6570\u7ec4\uff0c\u6bd4\u5982<code>zeros<\/code>\u3001<code>ones<\/code>\u3001<code>arange<\/code>\u548c<code>linspace<\/code>\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u96f6\u7684\u6570\u7ec4<\/p>\n<p>zeros_array = np.zeros(5)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u4e00\u7684\u6570\u7ec4<\/strong><\/h2>\n<p>ones_array = np.ones(5)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b49\u5dee\u6570\u7ec4<\/strong><\/h2>\n<p>arange_array = np.arange(0, 10, 2)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a\u7b49\u95f4\u9694\u6570\u503c\u7684\u6570\u7ec4<\/strong><\/h2>\n<p>linspace_array = np.linspace(0, 1, 5)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f<\/h2>\n<\/p>\n<p><p>\u5217\u8868\u63a8\u5bfc\u5f0f\u662f\u4e00\u79cd\u7b80\u6d01\u9ad8\u6548\u7684\u521b\u5efa\u548c\u521d\u59cb\u5316\u5217\u8868\u7684\u65b9\u6cd5\uff0c\u975e\u5e38\u9002\u5408\u5728\u521d\u59cb\u5316\u65f6\u8fdb\u884c\u7b80\u5355\u7684\u8ba1\u7b97\u6216\u6761\u4ef6\u5224\u65ad\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u5305\u542b0\u52304\u7684\u5217\u8868<\/p>\n<p>array = [i for i in range(5)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u7b80\u6d01\uff0c\u800c\u4e14\u53ef\u4ee5\u8f7b\u677e\u5730\u52a0\u5165\u6761\u4ef6\u5224\u65ad\u548c\u590d\u6742\u7684\u8868\u8fbe\u5f0f\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u4f7f\u7528\u751f\u6210\u5668\u8868\u8fbe\u5f0f<\/h2>\n<\/p>\n<p><p>\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u4e0e\u5217\u8868\u63a8\u5bfc\u5f0f\u7c7b\u4f3c\uff0c\u4f46\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u8fd4\u56de\u7684\u662f\u4e00\u4e2a\u751f\u6210\u5668\u5bf9\u8c61\uff0c\u800c\u4e0d\u662f\u4e00\u4e2a\u5217\u8868\u3002\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u5728\u9700\u8981\u8282\u7701\u5185\u5b58\u7684\u60c5\u51b5\u4e0b\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u751f\u6210\u5668\u5bf9\u8c61\uff0c\u5305\u542b0\u52304<\/p>\n<p>array_gen = (i for i in range(5))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u4e0d\u4f1a\u7acb\u5373\u751f\u6210\u6240\u6709\u5143\u7d20\uff0c\u800c\u662f\u5728\u8fed\u4ee3\u65f6\u6309\u9700\u751f\u6210\u3002<\/p>\n<\/p>\n<p><h2>\u516d\u3001\u521d\u59cb\u5316\u4e8c\u7ef4\u6570\u7ec4<\/h2>\n<\/p>\n<p><p>\u5728\u5904\u7406\u591a\u7ef4\u6570\u636e\u65f6\uff0c\u4e8c\u7ef4\u6570\u7ec4\u662f\u6700\u5e38\u7528\u7684\u5f62\u5f0f\u4e4b\u4e00\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5d4c\u5957\u5217\u8868\u3001NumPy\u7b49\u591a\u79cd\u65b9\u5f0f\u6765\u521d\u59cb\u5316\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u4f7f\u7528\u5d4c\u5957\u5217\u8868<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a2x3\u7684\u4e8c\u7ef4\u6570\u7ec4<\/p>\n<p>array_2d = [[0, 1, 2], [3, 4, 5]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u7b80\u5355\u76f4\u89c2\uff0c\u4f46\u5728\u64cd\u4f5c\u4e0a\u53ef\u80fd\u4e0d\u5982NumPy\u65b9\u4fbf\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u4f7f\u7528NumPy<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a2x3\u7684\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>array_2d = np.array([[0, 1, 2], [3, 4, 5]])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>NumPy\u4e0d\u4ec5\u80fd\u8f7b\u677e\u521b\u5efa\u591a\u7ef4\u6570\u7ec4\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u64cd\u4f5c\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5207\u7247\u3001\u53d8\u5f62\u3001\u62fc\u63a5\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h2>\u4e03\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u591a\u79cd\u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u7279\u70b9\u548c\u9002\u7528\u573a\u666f\u3002<strong>\u5217\u8868\u9002\u5408\u7b80\u5355\u7684\u5c0f\u89c4\u6a21\u6570\u636e\u64cd\u4f5c\u3001<code>array<\/code>\u6a21\u5757\u9002\u5408\u56fa\u5b9a\u7c7b\u578b\u7684\u6570\u7ec4\u64cd\u4f5c\u3001NumPy\u9002\u5408\u5927\u89c4\u6a21\u6570\u503c\u8ba1\u7b97\u548c\u590d\u6742\u7684\u591a\u7ef4\u6570\u7ec4\u64cd\u4f5c\u3001\u5217\u8868\u63a8\u5bfc\u5f0f\u548c\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u5219\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u521d\u59cb\u5316\u65b9\u5f0f\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u4ee3\u7801\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u548c\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u65f6\uff0c\u63a8\u8350\u4f7f\u7528NumPy\u5e93\uff0c\u56e0\u4e3a\u5b83\u5728\u6027\u80fd\u548c\u529f\u80fd\u4e0a\u90fd\u4f18\u4e8e\u5176\u4ed6\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u7a7a\u6570\u7ec4\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684list\u7c7b\u578b\u6765\u521b\u5efa\u4e00\u4e2a\u7a7a\u6570\u7ec4\u3002\u53ea\u9700\u7b80\u5355\u5730\u4f7f\u7528<code>my_array = []<\/code>\u6765\u521d\u59cb\u5316\u4e00\u4e2a\u7a7a\u7684\u6570\u7ec4\uff0c\u4e4b\u540e\u53ef\u4ee5\u901a\u8fc7<code>append()<\/code>\u65b9\u6cd5\u6216\u7d22\u5f15\u76f4\u63a5\u5411\u5176\u4e2d\u6dfb\u52a0\u5143\u7d20\u3002<\/p>\n<p><strong>Python\u4e2d\u6570\u7ec4\u7684\u5e38\u7528\u521d\u59cb\u5316\u65b9\u5f0f\u6709\u54ea\u4e9b\uff1f<\/strong><br \/>\u9664\u4e86\u521b\u5efa\u7a7a\u6570\u7ec4\uff0cPython\u8fd8\u652f\u6301\u591a\u79cd\u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u4f8b\u5982<code>my_array = [0] * 10<\/code>\u6765\u521b\u5efa\u4e00\u4e2a\u5305\u542b10\u4e2a\u96f6\u7684\u6570\u7ec4\u3002\u6b64\u5916\uff0c\u4f7f\u7528<code>numpy<\/code>\u5e93\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7<code>numpy.array()<\/code>\u6216<code>numpy.zeros()<\/code>\u7b49\u51fd\u6570\u6765\u521d\u59cb\u5316\u6570\u7ec4\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u548c\u529f\u80fd\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u521d\u59cb\u5316\u5305\u542b\u7279\u5b9a\u5143\u7d20\u7684\u6570\u7ec4\uff1f<\/strong><br \/>\u8981\u521d\u59cb\u5316\u4e00\u4e2a\u5305\u542b\u7279\u5b9a\u5143\u7d20\u7684\u6570\u7ec4\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728\u65b9\u62ec\u53f7\u4e2d\u5217\u51fa\u8fd9\u4e9b\u5143\u7d20\uff0c\u4f8b\u5982<code>my_array = [1, 2, 3, 4, 5]<\/code>\u3002\u5982\u679c\u4f60\u60f3\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u91cd\u590d\u5143\u7d20\u7684\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e58\u6cd5\uff0c\u4f8b\u5982<code>my_array = [1] * 5<\/code>\uff0c\u8fd9\u5c06\u521b\u5efa\u4e00\u4e2a\u5305\u542b5\u4e2a1\u7684\u6570\u7ec4\u3002<\/p>\n<p><strong>\u5982\u4f55\u4f7f\u7528numpy\u5e93\u521d\u59cb\u5316\u591a\u7ef4\u6570\u7ec4\uff1f<\/strong><br \/>\u5982\u679c\u4f60\u9700\u8981\u521b\u5efa\u591a\u7ef4\u6570\u7ec4\uff0c<code>numpy<\/code>\u5e93\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u9009\u62e9\u3002\u53ef\u4ee5\u4f7f\u7528<code>numpy.array()<\/code>\u521b\u5efa\u591a\u7ef4\u6570\u7ec4\uff0c\u4f8b\u5982<code>my_array = np.array([[1, 2], [3, 4]])<\/code>\uff0c\u6216\u4f7f\u7528<code>numpy.zeros((2, 3))<\/code>\u521b\u5efa\u4e00\u4e2a2\u884c3\u5217\u7684\u96f6\u6570\u7ec4\u3002<code>numpy<\/code>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u591a\u7ef4\u6570\u7ec4\uff0c\u4f7f\u5176\u5728\u6570\u636e\u79d1\u5b66\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\u975e\u5e38\u53d7\u6b22\u8fce\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python \u521d\u59cb\u5316\u6570\u7ec4\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528\u6570\u7ec4\u6a21\u5757\u3001\u4f7f\u7528NumPy\u5e93\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u4f7f\u7528\u751f\u6210\u5668\u8868\u8fbe\u5f0f [&hellip;]","protected":false},"author":3,"featured_media":1130592,"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\/1130585"}],"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=1130585"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1130585\/revisions"}],"predecessor-version":[{"id":1130593,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1130585\/revisions\/1130593"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1130592"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1130585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1130585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1130585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}