{"id":191181,"date":"2024-05-09T18:53:39","date_gmt":"2024-05-09T10:53:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/191181.html"},"modified":"2024-05-09T18:53:42","modified_gmt":"2024-05-09T10:53:42","slug":"%e6%9c%89%e4%bb%80%e4%b9%88%e5%8f%af%e8%a7%86%e5%8c%96%e5%b7%a5%e5%85%b7%e5%8f%af%e4%bb%a5%e5%ae%9e%e7%8e%b0%e5%a4%9a%e7%bb%b4%e6%95%b0%e6%8d%ae%e7%9a%84%e5%b9%b3%e8%a1%8c%e5%9d%90%e6%a0%87%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/191181.html","title":{"rendered":"\u6709\u4ec0\u4e48\u53ef\u89c6\u5316\u5de5\u5177\u53ef\u4ee5\u5b9e\u73b0\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/26102629\/a2f3e468-9f1d-4e83-8e10-c9837efbc6cf.webp\" alt=\"\u6709\u4ec0\u4e48\u53ef\u89c6\u5316\u5de5\u5177\u53ef\u4ee5\u5b9e\u73b0\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\" \/><\/p>\n<p><p>\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u662f\u4e00\u79cd\u6781\u6709\u7528\u7684\u53ef\u89c6\u5316\u624b\u6bb5\uff0c\u7528\u4e8e\u5c55\u793a\u9ad8\u7ef4\u5ea6\u6570\u636e\u96c6\u4e4b\u95f4\u7684\u5173\u7cfb\u548c\u6a21\u5f0f\u3002<strong>\u53ef\u5b9e\u73b0\u591a\u7ef4\u6570\u636e\u5e73\u884c\u5750\u6807\u56fe\u7684\u5de5\u5177\u4e3b\u8981\u6709Plotly\u3001D3.js\u3001Tableau\u3001\u4ee5\u53caPython\u5e93Matplotlib\u548cPandas<\/strong>\u3002\u5176\u4e2d\uff0c<strong>Plotly<\/strong>\u56e0\u5176\u6613\u7528\u6027\u3001\u4e92\u52a8\u6027\u548c\u7075\u6d3b\u6027\uff0c\u5c24\u4e3a\u7a81\u51fa\uff0c\u88ab\u5e7f\u6cdb\u4f7f\u7528\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u3002<\/p>\n<\/p>\n<p><p>Plotly\u662f\u4e00\u4e2a\u591a\u8bed\u8a00\u652f\u6301\u7684\u5f00\u6e90\u56fe\u5f62\u5e93\uff0c\u5b83\u8ba9\u6570\u636e\u53ef\u89c6\u5316\u53d8\u5f97\u7b80\u5355\u4e14\u9ad8\u6548\u3002\u7279\u522b\u7684\uff0cPlotly\u652f\u6301\u7684\u5e73\u884c\u5750\u6807\u56fe\u529f\u80fd\u5141\u8bb8\u7528\u6237\u63a2\u7d22\u591a\u7ef4\u6570\u636e\u96c6\u7684\u5185\u5728\u7ed3\u6784\uff0c\u901a\u8fc7\u62d6\u52a8\u7ef4\u5ea6\u8f74\u6765\u8fc7\u6ee4\u6570\u636e\u70b9\uff0c\u4fbf\u6377\u5730\u89c2\u5bdf\u6570\u636e\u96c6\u7684\u884c\u4e3a\u548c\u5c5e\u6027\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001PLOTLY\u7684\u4f7f\u7528<\/h3>\n<\/p>\n<p><p>Plotly\u7684\u5e73\u884c\u5750\u6807\u56fe\u4f7f\u7528\u8d77\u6765\u76f8\u5bf9\u76f4\u89c2\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5Plotly\u7684Python\u5e93\u3002\u901a\u8fc7pip\u5b89\u88c5\u5373\u53ef\u5b8c\u6210\u8bbe\u7f6e\u3002\u5b89\u88c5\u540e\uff0c\u5bfc\u5165\u76f8\u5e94\u7684\u5e93\u5e76\u51c6\u5907\u6570\u636e\u3002\u5bf9\u4e8e\u591a\u7ef4\u6570\u636e\uff0c\u5c06\u5176\u7ec4\u7ec7\u6210DataFrame\u683c\u5f0f\uff0c\u6bcf\u4e00\u5217\u4ee3\u8868\u4e00\u4e2a\u7ef4\u5ea6\uff0c\u6bcf\u4e00\u884c\u4ee3\u8868\u6570\u636e\u96c6\u7684\u4e00\u4e2a\u89c2\u6d4b\u503c\u3002<\/p>\n<\/p>\n<p><p>\u4f7f\u7528Plotly\u521b\u5efa\u5e73\u884c\u5750\u6807\u56fe\u9700\u8981\u6307\u5b9a\u6bcf\u4e2a\u7ef4\u5ea6\u7684\u540d\u79f0\u548c\u6570\u636e\u8303\u56f4\u3002Plotly\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u5982\u989c\u8272\u3001\u7ebf\u6761\u5bbd\u5ea6\u3001\u80cc\u666f\u7b49\uff0c\u53ef\u901a\u8fc7\u8c03\u6574\u8fd9\u4e9b\u53c2\u6570\u6765\u4f18\u5316\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001D3.JS\u7684\u5e94\u7528<\/h3>\n<\/p>\n<p><p>D3.js\u662f\u4e00\u4e2a\u5f3a\u5927\u7684JavaScript\u5e93\uff0c\u7528\u4e8e\u5728\u7f51\u9875\u4e0a\u4ea7\u751f\u52a8\u6001\u3001\u4ea4\u4e92\u5f0f\u7684\u6570\u636e\u53ef\u89c6\u5316\u6548\u679c\u3002D3.js\u63d0\u4f9b\u4e86\u7ec6\u7c92\u5ea6\u7684\u63a7\u5236\u80fd\u529b\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u521b\u5efa\u590d\u6742\u7684\u53ef\u89c6\u5316\u754c\u9762\uff0c\u5176\u4e2d\u5305\u62ec\u5e73\u884c\u5750\u6807\u56fe\u7b49\u9ad8\u7ea7\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528D3.js\u7ed8\u5236\u5e73\u884c\u5750\u6807\u56fe\u65f6\uff0c\u9996\u5148\u9700\u8981\u4e86\u89e3SVG\uff08Scalable Vector Graphics\uff09\u7684\u57fa\u7840\uff0c\u56e0\u4e3aD3\u5229\u7528SVG\u6765\u6e32\u67d3\u56fe\u5f62\u3002\u7136\u540e\uff0c\u6839\u636e\u591a\u7ef4\u6570\u636e\u7684\u7279\u70b9\uff0c\u4f7f\u7528D3\u7684scale\u51fd\u6570\u6765\u8bbe\u7f6e\u6bcf\u4e2a\u7ef4\u5ea6\u7684\u6bd4\u4f8b\u5c3a\uff0c\u786e\u4fdd\u6570\u636e\u5728\u56fe\u8868\u4e2d\u6b63\u786e\u5c55\u793a\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001TABLEAU\u7684\u7279\u70b9<\/h3>\n<\/p>\n<p><p>Tableau\u662f\u4e00\u4e2a\u9886\u5148\u7684\u5546\u4e1a\u667a\u80fd\u548c\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u4ee5\u5176\u76f4\u89c2\u7684\u62d6\u62fd\u754c\u9762\u548c\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u80fd\u529b\u8457\u79f0\u3002Tableau\u63d0\u4f9b\u7684\u5e73\u884c\u5750\u6807\u56fe\u529f\u80fd\u8ba9\u7528\u6237\u80fd\u591f\u8f7b\u677e\u5730\u5206\u6790\u548c\u63a2\u7d22\u590d\u6742\u7684\u591a\u7ef4\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<p><p>\u5728Tableau\u4e2d\uff0c\u7528\u6237\u901a\u8fc7\u9009\u62e9\u6570\u636e\u6e90\u5e76\u5c06\u6570\u636e\u7ef4\u5ea6\u62d6\u653e\u5230\u9002\u5f53\u7684\u533a\u57df\u6765\u521b\u5efa\u5e73\u884c\u5750\u6807\u56fe\u3002Tableau\u7684\u5f3a\u5927\u4e4b\u5904\u5728\u4e8e\u5b83\u7684\u5206\u6790\u529f\u80fd\uff0c\u5982\u5373\u65f6\u8fc7\u6ee4\u3001\u6392\u5e8f\u548c\u805a\u5408\uff0c\u8fd9\u4e9b\u90fd\u53ef\u4ee5\u76f4\u63a5\u5e94\u7528\u4e8e\u5e73\u884c\u5750\u6807\u56fe\u4e0a\uff0c\u4ece\u800c\u4f7f\u5f97\u4ece\u591a\u7ef4\u6570\u636e\u4e2d\u53d1\u73b0\u6a21\u5f0f\u548c\u8d8b\u52bf\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001PYTHON\u5e93\u7684\u5e94\u7528<\/h3>\n<\/p>\n<p><p>Python\u662f\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u4e3b\u8981\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\u3002\u5b83\u7684Matplotlib\u5e93\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u5305\u62ec\u5e73\u884c\u5750\u6807\u56fe\u5728\u5185\u7684\u591a\u79cd\u56fe\u8868\u3002Pandas\u662fPython\u7684\u4e00\u4e2a\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><p>\u4f7f\u7528Matplotlib\u548cPandas\u751f\u6210\u5e73\u884c\u5750\u6807\u56fe\u9996\u5148\u9700\u8981\u51c6\u5907\u6570\u636e\u3002Pandas\u7684DataFrame\u662f\u4e00\u79cd\u7406\u60f3\u7684\u6570\u636e\u683c\u5f0f\uff0c\u7528\u4e8e\u5904\u7406\u591a\u7ef4\u6570\u636e\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528Matplotlib\u63d0\u4f9b\u7684\u63a5\u53e3\u548cPandas\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u6765\u521b\u5efa\u548c\u5b9a\u5236\u5e73\u884c\u5750\u6807\u56fe\u3002\u867d\u7136Matplotlib\u63d0\u4f9b\u7684\u53ef\u89c6\u5316\u9009\u9879\u6bd4Plotly\u548cD3.js\u5c11\uff0c\u4f46\u5728\u6570\u636e\u5206\u6790\u521d\u671f\u9636\u6bb5\uff0c\u5b83\u4ecd\u7136\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><p>\u603b\u7ed3\u6765\u8bf4\uff0c\u5e73\u884c\u5750\u6807\u56fe\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u591a\u7ef4\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u800cPlotly\u3001D3.js\u3001Tableau\u3001\u4ee5\u53caPython\u5e93\uff08Matplotlib\u548cPandas\uff09\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u652f\u6301\u521b\u5efa\u548c\u5b9a\u5236\u8fd9\u7c7b\u56fe\u8868\u3002\u6bcf\u79cd\u5de5\u5177\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u53ef\u4ee5\u8ba9\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u4f5c\u53d8\u5f97\u66f4\u52a0\u9ad8\u6548\u679c\u7cbe\u51c6\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1.\u5982\u4f55\u5229\u7528\u53ef\u89c6\u5316\u5de5\u5177\u521b\u5efa\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\uff1f<\/strong><\/p>\n<ul>\n<li>\u9996\u5148\uff0c\u9009\u62e9\u4e00\u4e2a\u9002\u5408\u7684\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u6bd4\u5982Tableau\uff0cD3.js\u6216Plotly\u7b49\u3002\u8fd9\u4e9b\u5de5\u5177\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u548c\u6613\u4e8e\u4f7f\u7528\u7684\u754c\u9762\uff0c\u65b9\u4fbf\u521b\u5efa\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u3002<\/li>\n<li>\u7136\u540e\uff0c\u5bfc\u5165\u4f60\u7684\u591a\u7ef4\u6570\u636e\u96c6\u5230\u53ef\u89c6\u5316\u5de5\u5177\u4e2d\u3002\u786e\u4fdd\u6570\u636e\u96c6\u5305\u542b\u5404\u4e2a\u7ef4\u5ea6\u7684\u6570\u503c\u3002<\/li>\n<li>\u63a5\u4e0b\u6765\uff0c\u9009\u62e9\u521b\u5efa\u5e73\u884c\u5750\u6807\u56fe\u7684\u9009\u9879\uff0c\u6839\u636e\u5de5\u5177\u4e0d\u540c\u53ef\u80fd\u4f1a\u6709\u4e0d\u540c\u7684\u540d\u79f0\u6216\u4f4d\u7f6e\uff0c\u5728\u53ef\u89c6\u5316\u5de5\u5177\u7684\u83dc\u5355\u6216\u5de5\u5177\u680f\u4e2d\u67e5\u627e\u76f8\u5173\u9009\u9879\u3002<\/li>\n<li>\u4e00\u65e6\u8fdb\u5165\u5e73\u884c\u5750\u6807\u56fe\u7684\u754c\u9762\uff0c\u5c06\u4f60\u7684\u6570\u636e\u7ef4\u5ea6\u62d6\u62fd\u5230\u5750\u6807\u8f74\u4e0a\u3002\u6bcf\u4e2a\u7ef4\u5ea6\u5e94\u8be5\u5bf9\u5e94\u4e00\u4e2a\u5750\u6807\u8f74\u3002<\/li>\n<li>\u5982\u679c\u4f60\u7684\u6570\u636e\u96c6\u5305\u542b\u4e86\u5206\u7c7b\u53d8\u91cf\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u989c\u8272\u6216\u6807\u8bb0\u6765\u533a\u5206\u4e0d\u540c\u7684\u7c7b\u522b\uff0c\u589e\u52a0\u53ef\u8bfb\u6027\u3002<\/li>\n<li>\u6700\u540e\uff0c\u6839\u636e\u9700\u8981\u5bf9\u56fe\u8868\u8fdb\u884c\u8c03\u6574\u548c\u7f8e\u5316\u3002\u4f60\u53ef\u4ee5\u8c03\u6574\u5750\u6807\u8f74\u7684\u8303\u56f4\u3001\u7c97\u7ec6\u548c\u989c\u8272\uff0c\u6dfb\u52a0\u6807\u9898\u548c\u6ce8\u91ca\uff0c\u4ee5\u53ca\u9009\u62e9\u5408\u9002\u7684\u80cc\u666f\u989c\u8272\u6216\u7f51\u683c\u7ebf\u7b49\u3002<\/li>\n<\/ul>\n<p><strong>2. \u54ea\u4e9b\u53ef\u89c6\u5316\u5de5\u5177\u9002\u5408\u521b\u5efa\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\uff1f<\/strong><\/p>\n<ul>\n<li>\u6709\u5f88\u591a\u53ef\u89c6\u5316\u5de5\u5177\u9002\u7528\u4e8e\u521b\u5efa\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u3002\u4e00\u4e9b\u5e38\u7528\u7684\u5de5\u5177\u5305\u62ecTableau\u3001D3.js\u3001Plotly\u3001R\u8bed\u8a00\u7684ggplot2\u5305\u4ee5\u53caPython\u8bed\u8a00\u7684matplotlib\u5305\u7b49\u3002<\/li>\n<li>Tableau\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u5177\u6709\u53cb\u597d\u7684\u7528\u6237\u754c\u9762\u548c\u4e30\u5bcc\u7684\u56fe\u8868\u9009\u9879\uff0c\u53ef\u4ee5\u5feb\u901f\u521b\u5efa\u4ea4\u4e92\u5f0f\u7684\u5e73\u884c\u5750\u6807\u56fe\u3002<\/li>\n<li>D3.js\u662f\u4e00\u4e2a\u57fa\u4e8eJavaScript\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u5404\u79cd\u7528\u4e8e\u521b\u5efa\u5e73\u884c\u5750\u6807\u56fe\u7684\u51fd\u6570\u548c\u7ec4\u4ef6\uff0c\u53ef\u4ee5\u9ad8\u5ea6\u5b9a\u5236\u5316\u56fe\u8868\u7684\u5916\u89c2\u548c\u4ea4\u4e92\u6548\u679c\u3002<\/li>\n<li>Plotly\u662f\u4e00\u4e2a\u5f00\u6e90\u7684JavaScript\u56fe\u8868\u5e93\uff0c\u5141\u8bb8\u7528\u6237\u4f7f\u7528Python\u3001R\u548cMATLAB\u7b49\u8bed\u8a00\u521b\u5efa\u5404\u79cd\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u5305\u62ec\u5e73\u884c\u5750\u6807\u56fe\u3002<\/li>\n<li>ggplot2\u662fR\u8bed\u8a00\u4e2d\u5e38\u7528\u7684\u53ef\u89c6\u5316\u5305\uff0c\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u51fd\u6570\u6765\u521b\u5efa\u9ad8\u8d28\u91cf\u7684\u5e73\u884c\u5750\u6807\u56fe\u3002<\/li>\n<li>matplotlib\u662fPython\u8bed\u8a00\u4e2d\u6700\u6d41\u884c\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e4b\u4e00\uff0c\u4e5f\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u5e73\u884c\u5750\u6807\u56fe\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u9009\u9879\uff0c\u53ef\u4ee5\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002<\/li>\n<\/ul>\n<p><strong>3. \u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u6709\u54ea\u4e9b\u5e94\u7528\u573a\u666f\uff1f<\/strong><\/p>\n<ul>\n<li>\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u53ef\u4ee5\u7528\u4e8e\u5206\u6790\u548c\u6bd4\u8f83\u4e0d\u540c\u7ef4\u5ea6\u4e4b\u95f4\u7684\u5173\u7cfb\u548c\u8d8b\u52bf\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u6a21\u5f0f\u3001\u5f02\u5e38\u503c\u548c\u8d8b\u52bf\uff0c\u4ee5\u53ca\u7406\u89e3\u5404\u4e2a\u7ef4\u5ea6\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002<\/li>\n<li>\u5728\u79d1\u5b66\u7814\u7a76\u9886\u57df\uff0c\u5e73\u884c\u5750\u6807\u56fe\u5e38\u7528\u4e8e\u53ef\u89c6\u5316\u9ad8\u7ef4\u6570\u636e\uff0c\u6bd4\u5982\u57fa\u56e0\u8868\u8fbe\u6570\u636e\u3001\u6c14\u5019\u6570\u636e\u6216\u5927\u89c4\u6a21\u793e\u4ea4\u7f51\u7edc\u6570\u636e\u7b49\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u53d1\u73b0\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u63a2\u7d22\u6570\u636e\u4e2d\u7684\u6f5c\u5728\u6a21\u5f0f\u548c\u7ed3\u6784\u3002<\/li>\n<li>\u5728\u5e02\u573a\u8425\u9500\u548c\u4e1a\u52a1\u5206\u6790\u9886\u57df\uff0c\u5e73\u884c\u5750\u6807\u56fe\u53ef\u4ee5\u7528\u4e8e\u6bd4\u8f83\u4e0d\u540c\u4ea7\u54c1\u6216\u54c1\u724c\u5728\u591a\u4e2a\u6307\u6807\u4e0b\u7684\u8868\u73b0\u3002\u901a\u8fc7\u89c2\u5bdf\u5404\u4e2a\u7ef4\u5ea6\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u6211\u4eec\u53ef\u4ee5\u627e\u5230\u6700\u4f18\u7684\u4ea7\u54c1\u7ec4\u5408\u6216\u5e02\u573a\u5b9a\u4f4d\u7b56\u7565\u3002<\/li>\n<li>\u5e73\u884c\u5750\u6807\u56fe\u8fd8\u53ef\u4ee5\u7528\u4e8e\u53ef\u89c6\u5316<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u548c\u6570\u636e\u6316\u6398\u4e2d\u7684\u7279\u5f81\u9009\u62e9\u8fc7\u7a0b\u3002\u901a\u8fc7\u89c2\u5bdf\u5404\u4e2a\u7ef4\u5ea6\u4e4b\u95f4\u7684\u5206\u5e03\u60c5\u51b5\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u91cd\u8981\u7684\u7279\u5f81\u8fdb\u884c\u5efa\u6a21\u548c\u9884\u6d4b\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u89e3\u91ca\u6027\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u591a\u7ef4\u6570\u636e\u7684\u5e73\u884c\u5750\u6807\u56fe\u662f\u4e00\u79cd\u6781\u6709\u7528\u7684\u53ef\u89c6\u5316\u624b\u6bb5\uff0c\u7528\u4e8e\u5c55\u793a\u9ad8\u7ef4\u5ea6\u6570\u636e\u96c6\u4e4b\u95f4\u7684\u5173\u7cfb\u548c\u6a21\u5f0f\u3002\u53ef\u5b9e\u73b0\u591a\u7ef4\u6570\u636e\u5e73\u884c\u5750\u6807\u56fe\u7684 [&hellip;]","protected":false},"author":3,"featured_media":191185,"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\/191181"}],"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=191181"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/191181\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/191185"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=191181"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=191181"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=191181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}