{"id":945530,"date":"2024-12-26T23:26:49","date_gmt":"2024-12-26T15:26:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945530.html"},"modified":"2024-12-26T23:26:52","modified_gmt":"2024-12-26T15:26:52","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%b1%82%cf%80","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/945530.html","title":{"rendered":"\u5982\u4f55\u7528python\u6c42\u03c0"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25082057\/e80a113b-fb79-41dc-8a27-0e1009dc393e.webp\" alt=\"\u5982\u4f55\u7528python\u6c42\u03c0\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u6c42\u03c0\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u3001BBP\u516c\u5f0f\u7b49\u3002\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u901a\u8fc7\u968f\u673a\u6570\u6a21\u62df\uff0c\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u901a\u8fc7\u9010\u9879\u903c\u8fd1\uff0cBBP\u516c\u5f0f\u901a\u8fc7\u5feb\u901f\u6536\u655b\u7ea7\u6570\u8ba1\u7b97\u3002<\/strong>\u5176\u4e2d\uff0c\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u7b80\u5355\u6613\u61c2\uff0c\u9002\u5408\u521d\u5b66\u8005\u4f7f\u7528\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u662f\u4e00\u79cd\u57fa\u4e8e\u968f\u673a\u6570\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u5b83\u901a\u8fc7\u6a21\u62df\u5b9e\u9a8c\u6765\u903c\u8fd1\u6570\u5b66\u95ee\u9898\u7684\u89e3\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u5229\u7528\u968f\u673a\u6570\u751f\u6210\u70b9\u6765\u6a21\u62df\u4e00\u4e2a\u5355\u4f4d\u5706\u548c\u5305\u56f4\u5b83\u7684\u6b63\u65b9\u5f62\uff0c\u901a\u8fc7\u8ba1\u7b97\u5706\u5185\u70b9\u4e0e\u603b\u70b9\u7684\u6bd4\u4f8b\u6765<a href=\"https:\/\/docs.pingcode.com\/agile\/project-management\/estimation\" target=\"_blank\">\u4f30\u7b97<\/a>\u03c0\u7684\u503c\u3002\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u7b80\u5355\uff0c\u4f46\u5bf9\u4e8e\u6c42\u89e3\u03c0\u8fd9\u6837\u7684\u95ee\u9898\u53ef\u80fd\u9700\u8981\u5927\u91cf\u7684\u8ba1\u7b97\u624d\u80fd\u8fbe\u5230\u8f83\u9ad8\u7684\u7cbe\u786e\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u8499\u7279\u5361\u6d1b\u65b9\u6cd5<\/p>\n<\/p>\n<p><p>\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u662f\u901a\u8fc7\u968f\u673a\u751f\u6210\u5927\u91cf\u7684\u70b9\uff0c\u5229\u7528\u6982\u7387\u6765\u903c\u8fd1\u03c0\u7684\u503c\u3002\u60f3\u8c61\u4e00\u4e2a\u5355\u4f4d\u5706\u5185\u63a5\u4e8e\u4e00\u4e2a\u8fb9\u957f\u4e3a2\u7684\u6b63\u65b9\u5f62\uff0c\u6211\u4eec\u53ef\u4ee5\u968f\u673a\u751f\u6210\u70b9\u5e76\u5224\u65ad\u8fd9\u4e9b\u70b9\u662f\u5426\u843d\u5728\u5706\u5185\u3002\u6839\u636e\u51e0\u4f55\u6982\u7387\uff0c\u5706\u7684\u9762\u79ef\u4e0e\u6b63\u65b9\u5f62\u9762\u79ef\u7684\u6bd4\u503c\u4e3a\u03c0\/4\u3002\u56e0\u6b64\uff0c\u03c0\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u516c\u5f0f\u8fd1\u4f3c\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n<p><p>[<\/p>\n<p>\\pi \\approx 4 \\times \\frac{\\text{\u5706\u5185\u70b9\u6570}}{\\text{\u603b\u70b9\u6570}}<\/p>\n<p>]<\/p>\n<\/p>\n<p><p>1\u3001\u57fa\u672c\u5b9e\u73b0<\/p>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u5229\u7528Python\u7684\u968f\u673a\u6570\u751f\u6210\u5e93\u6765\u5b9e\u73b0\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>def monte_carlo_pi(num_points):<\/p>\n<p>    inside_circle = 0<\/p>\n<p>    for _ in range(num_points):<\/p>\n<p>        x, y = random.uniform(-1, 1), random.uniform(-1, 1)<\/p>\n<p>        if x&lt;strong&gt;2 + y&lt;\/strong&gt;2 &lt;= 1:<\/p>\n<p>            inside_circle += 1<\/p>\n<p>    return (inside_circle \/ num_points) * 4<\/p>\n<p>print(monte_carlo_pi(1000000))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u7a0b\u5e8f\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86<code>num_points<\/code>\u4e2a\u968f\u673a\u70b9\uff0c\u5e76\u7edf\u8ba1\u5176\u4e2d\u6709\u591a\u5c11\u70b9\u843d\u5728\u5355\u4f4d\u5706\u5185\u3002\u901a\u8fc7\u589e\u52a0<code>num_points<\/code>\u7684\u6570\u91cf\uff0c\u6211\u4eec\u53ef\u4ee5\u63d0\u9ad8\u03c0\u7684\u4f30\u7b97\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u8bef\u5dee\u5206\u6790\u4e0e\u4f18\u5316<\/p>\n<\/p>\n<p><p>\u867d\u7136\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u7b80\u5355\u6613\u61c2\uff0c\u4f46\u5b83\u7684\u6536\u655b\u901f\u5ea6\u8f83\u6162\uff0c\u8bef\u5dee\u8f83\u5927\u3002\u4e3a\u4e86\u63d0\u9ad8\u7cbe\u5ea6\uff0c\u6211\u4eec\u53ef\u4ee5\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u589e\u5927\u91c7\u6837\u6570\u91cf<\/strong>\uff1a\u589e\u52a0\u968f\u673a\u70b9\u7684\u6570\u91cf\u53ef\u4ee5\u63d0\u9ad8\u7cbe\u786e\u5ea6\uff0c\u4f46\u4e5f\u4f1a\u589e\u52a0\u8ba1\u7b97\u65f6\u95f4\u3002<\/li>\n<li><strong>\u5e76\u884c\u5316\u8ba1\u7b97<\/strong>\uff1a\u5229\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6280\u672f\u53ef\u4ee5\u52a0\u5feb\u8ba1\u7b97\u901f\u5ea6\u3002<\/li>\n<li><strong>\u6539\u8fdb\u968f\u673a\u6570\u751f\u6210\u5668<\/strong>\uff1a\u4f7f\u7528\u8d28\u91cf\u66f4\u9ad8\u7684\u968f\u673a\u6570\u751f\u6210\u5668\u6765\u63d0\u9ad8\u7ed3\u679c\u7684\u53ef\u9760\u6027\u3002<\/li>\n<\/ul>\n<p><p>\u4e8c\u3001\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570<\/p>\n<\/p>\n<p><p>\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u662f\u4e00\u79cd\u7ecf\u5178\u7684\u7ea7\u6570\u65b9\u6cd5\uff0c\u7528\u4e8e\u8ba1\u7b97\u03c0\u3002\u5b83\u7684\u5f62\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><p>[<\/p>\n<p>\\pi = 4 \\times \\sum_{k=0}^{\\infty} \\frac{(-1)^k}{2k + 1}<\/p>\n<p>]<\/p>\n<\/p>\n<p><p>1\u3001\u57fa\u672c\u5b9e\u73b0<\/p>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u7528Python\u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u8ba1\u7b97\u03c0\u7684\u7a0b\u5e8f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def leibniz_pi(num_terms):<\/p>\n<p>    pi_estimate = 0<\/p>\n<p>    for k in range(num_terms):<\/p>\n<p>        pi_estimate += ((-1)k) \/ (2*k + 1)<\/p>\n<p>    return pi_estimate * 4<\/p>\n<p>print(leibniz_pi(1000000))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>2\u3001\u8bef\u5dee\u5206\u6790\u4e0e\u4f18\u5316<\/p>\n<\/p>\n<p><p>\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u7684\u6536\u655b\u901f\u5ea6\u5f88\u6162\uff0c\u9700\u8981\u5927\u91cf\u9879\u624d\u80fd\u8fbe\u5230\u9ad8\u7cbe\u5ea6\u3002\u4e3a\u4e86\u63d0\u9ad8\u6536\u655b\u901f\u5ea6\uff0c\u53ef\u4ee5\u8003\u8651\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u6539\u8fdb\u7b97\u6cd5<\/strong>\uff1a\u4f7f\u7528\u66f4\u5feb\u6536\u655b\u7684\u7ea7\u6570\uff0c\u5982Nilakantha\u7ea7\u6570\u3002<\/li>\n<li><strong>\u589e\u52a0\u8fed\u4ee3\u6b21\u6570<\/strong>\uff1a\u589e\u52a0\u8fed\u4ee3\u6b21\u6570\u53ef\u4ee5\u63d0\u9ad8\u7cbe\u5ea6\u3002<\/li>\n<\/ul>\n<p><p>\u4e09\u3001BBP\u516c\u5f0f<\/p>\n<\/p>\n<p><p>BBP\u516c\u5f0f\uff08B<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>ley\u2013Borwein\u2013Plouffe\u516c\u5f0f\uff09\u662f\u4e00\u79cd\u53ef\u4ee5\u76f4\u63a5\u8ba1\u7b97\u4efb\u610f\u4f4d\u6570\u7684\u03c0\u7684\u7b97\u6cd5\u3002\u5b83\u7684\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><p>[<\/p>\n<p>\\pi = \\sum_{k=0}^{\\infty} \\frac{1}{16^k} \\left( \\frac{4}{8k+1} &#8211; \\frac{2}{8k+4} &#8211; \\frac{1}{8k+5} &#8211; \\frac{1}{8k+6} \\right)<\/p>\n<p>]<\/p>\n<\/p>\n<p><p>1\u3001\u57fa\u672c\u5b9e\u73b0<\/p>\n<\/p>\n<p><p>BBP\u516c\u5f0f\u7684\u5b9e\u73b0\u6bd4\u524d\u4e24\u79cd\u65b9\u6cd5\u7a0d\u5fae\u590d\u6742\uff0c\u4f46\u5b83\u6709\u7740\u8f83\u5feb\u7684\u6536\u655b\u901f\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def bbp_pi(num_terms):<\/p>\n<p>    pi_estimate = 0<\/p>\n<p>    for k in range(num_terms):<\/p>\n<p>        pi_estimate += (1 \/ (16k)) * (<\/p>\n<p>            4 \/ (8*k + 1) -<\/p>\n<p>            2 \/ (8*k + 4) -<\/p>\n<p>            1 \/ (8*k + 5) -<\/p>\n<p>            1 \/ (8*k + 6)<\/p>\n<p>        )<\/p>\n<p>    return pi_estimate<\/p>\n<p>print(bbp_pi(100))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>2\u3001\u8bef\u5dee\u5206\u6790\u4e0e\u4f18\u5316<\/p>\n<\/p>\n<p><p>BBP\u516c\u5f0f\u7684\u6536\u655b\u901f\u5ea6\u8f83\u5feb\uff0c\u53ef\u4ee5\u7528\u8f83\u5c11\u7684\u9879\u6570\u8fbe\u5230\u8f83\u9ad8\u7684\u7cbe\u5ea6\u3002\u4e3a\u4e86\u8fdb\u4e00\u6b65\u4f18\u5316\uff0c\u53ef\u4ee5\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u4f7f\u7528\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\u5e93<\/strong>\uff1a\u5982<code>mpmath<\/code>\u5e93\uff0c\u8fdb\u884c\u9ad8\u7cbe\u5ea6\u6d6e\u70b9\u6570\u8ba1\u7b97\u3002<\/li>\n<li><strong>\u5e76\u884c\u5316\u8ba1\u7b97<\/strong>\uff1a\u5229\u7528\u5e76\u884c\u8ba1\u7b97\u63d0\u9ad8\u6548\u7387\u3002<\/li>\n<\/ul>\n<p><p>\u56db\u3001\u603b\u7ed3\u4e0e\u9009\u62e9<\/p>\n<\/p>\n<p><p>\u5728\u9009\u62e9\u5982\u4f55\u7528Python\u8ba1\u7b97\u03c0\u65f6\uff0c\u6211\u4eec\u9700\u8981\u6839\u636e\u5b9e\u9645\u9700\u6c42\u548c\u8ba1\u7b97\u8d44\u6e90\u6765\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u7b80\u5355\u6613\u7528<\/strong>\uff1a\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u9002\u5408\u5165\u95e8\u5b66\u4e60\u548c\u7b80\u5355\u5e94\u7528\u3002<\/li>\n<li><strong>\u9ad8\u7cbe\u5ea6\u9700\u6c42<\/strong>\uff1aBBP\u516c\u5f0f\u548c\u4f7f\u7528\u9ad8\u7cbe\u5ea6\u7ea7\u6570\u65b9\u6cd5\u9002\u5408\u9700\u8981\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\u7684\u573a\u5408\u3002<\/li>\n<li><strong>\u8ba1\u7b97\u8d44\u6e90<\/strong>\uff1a\u5e76\u884c\u5316\u548c\u4f18\u5316\u7b97\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u5728\u6709\u9650\u7684\u8ba1\u7b97\u8d44\u6e90\u4e0b\u63d0\u9ad8\u6548\u7387\u3002<\/li>\n<\/ul>\n<p><p>\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u7406\u89e3\u5176\u539f\u7406\u548c\u9002\u7528\u573a\u666f\u662f\u5173\u952e\u3002\u901a\u8fc7Python\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5b9e\u73b0\u8fd9\u4e9b\u7b97\u6cd5\uff0c\u8fdb\u884c\u03c0\u7684\u8ba1\u7b97\u548c\u5b66\u4e60\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\uff0c\u6709\u54ea\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u6765\u8ba1\u7b97\u03c0\u503c\uff1f<\/strong><br \/>\u8ba1\u7b97\u03c0\u503c\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5e38\u89c1\u7684\u5305\u62ec\u4f7f\u7528\u6570\u503c\u79ef\u5206\u3001Monte Carlo\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u548c\u9ad8\u65af-\u52d2\u8ba9\u5fb7\u7b97\u6cd5\u7b49\u3002\u901a\u8fc7\u6570\u503c\u79ef\u5206\uff0c\u53ef\u4ee5\u5229\u7528\u6570\u5b66\u5e93\u5982SciPy\u7684integrate\u6a21\u5757\u6765\u5b9e\u73b0\u3002\u800cMonte Carlo\u65b9\u6cd5\u5219\u662f\u901a\u8fc7\u968f\u673a\u53d6\u6837\u6765\u903c\u8fd1\u03c0\u503c\uff0c\u901a\u5e38\u6d89\u53ca\u751f\u6210\u968f\u673a\u70b9\u5e76\u8ba1\u7b97\u843d\u5728\u5706\u5185\u7684\u6bd4\u4f8b\u3002\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u662f\u901a\u8fc7\u65e0\u9650\u7ea7\u6570\u6c42\u548c\u6765\u83b7\u5f97\u03c0\u503c\uff0c\u4ee3\u7801\u5b9e\u73b0\u4e5f\u76f8\u5bf9\u7b80\u5355\u3002\u5bf9\u4e8e\u9700\u8981\u9ad8\u7cbe\u5ea6\u7684\u8ba1\u7b97\uff0c\u9ad8\u65af-\u52d2\u8ba9\u5fb7\u7b97\u6cd5\u5219\u662f\u975e\u5e38\u6709\u6548\u7684\u9009\u62e9\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u8ba1\u7b97\u03c0\u503c\u65f6\uff0c\u6709\u54ea\u4e9b\u5e93\u6216\u6a21\u5757\u53ef\u4ee5\u63a8\u8350\uff1f<\/strong><br \/>Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u5e2e\u52a9\u8ba1\u7b97\u03c0\u503c\u3002NumPy\u548cSciPy\u662f\u4e24\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u548c\u79ef\u5206\u3002\u7279\u522b\u662fSciPy\u4e2d\u7684integrate\u6a21\u5757\uff0c\u80fd\u591f\u76f4\u63a5\u7528\u4e8e\u6570\u503c\u79ef\u5206\uff0c\u8ba1\u7b97\u03c0\u7684\u76f8\u5173\u503c\u3002\u6b64\u5916\uff0c\u4f7f\u7528SymPy\u5e93\u53ef\u4ee5\u8fdb\u884c\u7b26\u53f7\u8ba1\u7b97\uff0c\u65b9\u4fbf\u83b7\u53d6\u7cbe\u786e\u503c\u3002\u5bf9\u4e8e\u5927\u6570\u8ba1\u7b97\uff0cmpmath\u5e93\u652f\u6301\u4efb\u610f\u7cbe\u5ea6\uff0c\u9002\u5408\u5bf9\u03c0\u8fdb\u884c\u9ad8\u7cbe\u5ea6\u7684\u8ba1\u7b97\u3002<\/p>\n<p><strong>\u5982\u679c\u6211\u60f3\u63d0\u9ad8\u8ba1\u7b97\u03c0\u7684\u7cbe\u5ea6\uff0c\u8be5\u5982\u4f55\u8c03\u6574\u4ee3\u7801\uff1f<\/strong><br \/>\u63d0\u9ad8\u8ba1\u7b97\u03c0\u7684\u7cbe\u5ea6\u901a\u5e38\u9700\u8981\u589e\u52a0\u8fed\u4ee3\u6b21\u6570\u6216\u4f7f\u7528\u66f4\u9ad8\u6548\u7684\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u5728\u4f7f\u7528Monte Carlo\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u589e\u52a0\u968f\u673a\u70b9\u7684\u6570\u91cf\uff0c\u4ece\u800c\u63d0\u5347\u8ba1\u7b97\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002\u5728\u4f7f\u7528\u7ea7\u6570\u6c42\u548c\u7684\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u589e\u52a0\u6c42\u548c\u7684\u9879\u6570\u3002\u82e5\u4f7f\u7528mpmath\u5e93\uff0c\u5219\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u7cbe\u5ea6\u6765\u6539\u53d8\u8ba1\u7b97\u7684\u7cbe\u786e\u5ea6\u3002\u786e\u4fdd\u5728\u5b9e\u73b0\u65f6\u8003\u8651\u5230\u6027\u80fd\uff0c\u907f\u514d\u8ba1\u7b97\u65f6\u95f4\u8fc7\u957f\u800c\u5f71\u54cd\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u6c42\u03c0\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u7ea7\u6570\u3001BBP\u516c\u5f0f\u7b49\u3002\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u901a\u8fc7\u968f\u673a\u6570\u6a21\u62df\uff0c\u83b1 [&hellip;]","protected":false},"author":3,"featured_media":945541,"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\/945530"}],"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=945530"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945530\/revisions"}],"predecessor-version":[{"id":945544,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945530\/revisions\/945544"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/945541"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=945530"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=945530"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=945530"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}