{"id":173267,"date":"2024-05-08T18:08:07","date_gmt":"2024-05-08T10:08:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/173267.html"},"modified":"2024-05-08T18:08:19","modified_gmt":"2024-05-08T10:08:19","slug":"%e4%bb%85%e5%b0%b1%e4%bd%9c%e5%9b%be%e8%80%8c%e8%a8%80%ef%bc%8cpython-%e5%92%8c-matlab-%e6%9c%89%e5%8f%af%e6%af%94%e6%80%a7%e5%90%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/173267.html","title":{"rendered":"\u4ec5\u5c31\u4f5c\u56fe\u800c\u8a00\uff0cPython \u548c MATLAB \u6709\u53ef\u6bd4\u6027\u5417"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/27045049\/26966ffa-02d5-43f6-a9e5-539266a4ea0f.webp\" alt=\"\u4ec5\u5c31\u4f5c\u56fe\u800c\u8a00\uff0cPython \u548c MATLAB \u6709\u53ef\u6bd4\u6027\u5417\" \/><\/p>\n<p><p><strong>Python\u548cMATLAB\u5728\u4f5c\u56fe\u65b9\u9762\u786e\u5b9e\u6709\u53ef\u6bd4\u6027<\/strong>\uff0c\u8fd9\u4e24\u79cd\u5de5\u5177\u90fd\u5e7f\u6cdb\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u9886\u57df\uff0c\u5b83\u4eec\u62e5\u6709\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u529f\u80fd\u3002<strong>Python<\/strong> \u51ed\u501f\u5176matplotlib\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u529f\u80fd\u4e30\u5bcc\u7684\u7ed8\u56fe\u63a5\u53e3\uff0c\u9002\u7528\u4e8e\u5404\u7c7b\u4e8c\u7ef4\u548c\u4e09\u7ef4\u56fe\u8868\u7684\u521b\u5efa\uff1b<strong>MATLAB<\/strong> \u5219\u56e0\u5176\u5185\u5efa\u7684\u7ed8\u56fe\u529f\u80fd\u548c\u4e13\u4e1a\u7684\u56fe\u5f62\u5de5\u5177\u7bb1\u53d7\u5230\u63a8\u5d07\u3002Python\u5728\u4f5c\u56fe\u65b9\u9762\u7684\u4eae\u70b9\u662f\u5176<strong>\u5f00\u6e90<\/strong>\u5c5e\u6027\u548c<strong>\u793e\u533a\u652f\u6301<\/strong>\uff0c\u8fd9\u4f7f\u5f97\u5b83\u4e0d\u65ad\u53d1\u5c55\u3001\u529f\u80fd\u4e0d\u65ad\u589e\u5f3a\u3002\u540c\u65f6\uff0cPython\u4f5c\u4e3a\u4e00\u4e2a\u901a\u7528\u7f16\u7a0b\u8bed\u8a00\uff0c\u53ef\u8f7b\u677e\u96c6\u6210\u5230\u66f4\u5e7f\u6cdb\u7684\u5e94\u7528\u4e2d\uff0c\u800cMATLAB\u5219\u4ee5\u5176\u4e13\u4e1a\u548c\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u80fd\u529b\u4f5c\u4e3a\u5356\u70b9\uff0c\u5176\u7ed8\u56fe\u529f\u80fd\u76f8\u5bf9\u66f4\u4e3a\u76f4\u89c2\u3001\u6613\u7528\uff0c\u4f46\u9700\u8981\u8d2d\u4e70\u5546\u4e1a\u8bb8\u53ef\u3002<\/p>\n<\/p>\n<p><h3><strong>\u4e00\u3001Python \u4f5c\u56fe\u7279\u70b9<\/strong><\/h3>\n<\/p>\n<p><p>Python\u4f5c\u56fe\u4e3b\u8981\u4f9d\u9760\u7684\u662fmatplotlib\u5e93\uff0c\u6b64\u5916\u8fd8\u6709Seaborn\u3001Bokeh\u7b49\u5e93\u4e5f\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002matplotlib\u662fPython\u6700\u8457\u540d\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u5177\u6709\u4ee5\u4e0b\u7279\u70b9\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u9ad8\u5ea6\u5b9a\u5236<\/strong>\uff1a\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u56fe\u8868\u6837\u5f0f\u548c\u683c\u5f0f\u5316\u9009\u9879\uff0c\u4f7f\u5f97\u51e0\u4e4e\u53ef\u4ee5\u5236\u4f5c\u4efb\u4f55\u4e8c\u7ef4\u56fe\u8868\uff0c\u5f88\u591a\u56fe\u8868\u5143\u7d20\u5982\u989c\u8272\u3001\u7ebf\u578b\u3001\u5b57\u4f53\u7b49\u90fd\u662f\u53ef\u4ee5\u4e2a\u6027\u5316\u5b9a\u5236\u7684\u3002<\/li>\n<li><strong>\u4e30\u5bcc\u7684\u56fe\u8868\u7c7b\u578b<\/strong>\uff1a\u652f\u6301\u6761\u5f62\u56fe\u3001\u76f4\u65b9\u56fe\u3001\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u997c\u56fe\u7b49\u591a\u79cd\u56fe\u8868\u7c7b\u578b\u3002<\/li>\n<li><strong>\u517c\u5bb9\u6027\u5f3a<\/strong>\uff1a\u53ef\u4ee5\u548c\u591a\u4e2a\u6570\u636e\u5904\u7406\u5e93\u5982NumPy\u3001Pandas\u7b49\u7d27\u5bc6\u7ed3\u5408\u4f7f\u7528\uff0c\u63d0\u9ad8\u4f5c\u56fe\u6548\u7387\u548c\u6570\u636e\u5904\u7406\u80fd\u529b\u3002<\/li>\n<li><strong>\u826f\u597d\u7684\u6587\u6863\u4e0e\u793e\u533a\u652f\u6301<\/strong>\uff1a\u7531\u4e8ePython\u7684\u7528\u6237\u57fa\u7840\u5e9e\u5927\uff0cmatplotlib\u5e93\u6709\u7740\u8be6\u7ec6\u7684\u6587\u6863\u548c\u6d3b\u8dc3\u7684\u793e\u533a\u652f\u6301\uff0c\u8fd9\u610f\u5473\u7740\u7528\u6237\u5728\u9047\u5230\u95ee\u9898\u65f6\u5f80\u5f80\u80fd\u591f\u627e\u5230\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ul>\n<p><h4><strong>\u6848\u4f8b\u5206\u6790<\/strong><\/h4>\n<\/p>\n<p><p>\u4ee5matplotlib\u4e3a\u4f8b\uff0c\u4e00\u4e2a\u57fa\u7840\u7684\u6298\u7ebf\u56fe\u7ed8\u5236\u8fc7\u7a0b\u53ef\u80fd\u5305\u542b\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165matplotlib\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u56fe\u50cf\u548c\u5750\u6807\u8f74\u3001\u7ed8\u5236\u7ebf\u6761\u3001\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e\u3001\u81ea\u5b9a\u4e49\u56fe\u4f8b\u5e76\u663e\u793a\u56fe\u50cf\u3002\u6574\u4e2a\u6d41\u7a0b\u7075\u6d3b\uff0c\u540c\u65f6\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u53c2\u6570\u4f9b\u4e13\u4e1a\u7528\u6237\u4f18\u5316\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><h3><strong>\u4e8c\u3001MATLAB \u4f5c\u56fe\u7279\u70b9<\/strong><\/h3>\n<\/p>\n<p><p>MATLAB\u4f5c\u56fe\u7684\u7279\u70b9\u5219\u4fa7\u91cd\u4e8e\u5176<strong>\u7b80\u6d01\u6027<\/strong>\u548c<strong>\u9ad8\u6548\u6027<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u76f4\u89c2\u6613\u7528<\/strong>\uff1aMATLAB\u63d0\u4f9b\u4e86\u57fa\u4e8e\u7a97\u53e3\u7684\u56fe\u5f62\u7528\u6237\u754c\u9762\uff0c\u4f7f\u5f97\u7528\u6237\u5373\u4fbf\u4e0d\u719f\u6089\u7f16\u7a0b\u4e5f\u80fd\u8fdb\u884c\u56fe\u8868\u521b\u5efa\u548c\u7f16\u8f91\u3002<\/li>\n<li><strong>\u4ea4\u4e92\u5f0f\u7ed8\u56fe<\/strong>\uff1a\u7528\u6237\u53ef\u4ee5\u76f4\u63a5\u5728MATLAB\u7684\u7f16\u8f91\u5668\u4e2d\u8fdb\u884c\u56fe\u8868\u7684\u7ed8\u5236\u548c\u4ea4\u4e92\u5f0f\u7f16\u8f91\uff0c\u63d0\u9ad8\u4e86\u4f5c\u56fe\u7684\u76f4\u89c2\u6027\u548c\u6548\u7387\u3002<\/li>\n<li><strong>\u7ed8\u56fe\u547d\u4ee4\u5168\u9762<\/strong>\uff1a\u5185\u7f6e\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u547d\u4ee4\uff0c\u7528\u6237\u65e0\u9700\u5b89\u88c5\u989d\u5916\u7684\u5e93\u5373\u53ef\u5b9e\u73b0\u5404\u79cd\u4f5c\u56fe\u9700\u6c42\u3002<\/li>\n<\/ul>\n<p><h4><strong>\u6848\u4f8b\u5206\u6790<\/strong><\/h4>\n<\/p>\n<p><p>\u5728MATLAB\u4e2d\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528\u7b80\u5355\u7684\u547d\u4ee4\u5982<code>plot<\/code>\u6765\u5feb\u901f\u751f\u6210\u6807\u51c6\u56fe\u8868\u3002MATLAB\u7684\u4f5c\u56fe\u547d\u4ee4\u901a\u5e38\u80fd\u591f\u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u6bd4\u4f8b\u548c\u683c\u5f0f\uff0c\u65e0\u9700\u8fc7\u591a\u7684\u53c2\u6570\u8bbe\u7f6e\uff0c\u8fd9\u5bf9\u4e8e\u521d\u5b66\u8005\u548c\u9700\u8981\u5feb\u901f\u7ed3\u679c\u7684\u7528\u6237\u6765\u8bf4\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h3><strong>\u4e09\u3001\u529f\u80fd\u5bf9\u6bd4\u5206\u6790<\/strong><\/h3>\n<\/p>\n<p><p>\u5c3d\u7ba1Python\u548cMATLAB\u5728\u4f5c\u56fe\u65b9\u9762\u90fd\u6709\u5404\u81ea\u7684\u4f18\u52bf\uff0c\u4f46\u5728\u5177\u4f53\u9009\u62e9\u4e0a\u8fd8\u9700\u8981\u6839\u636e\u4f7f\u7528\u573a\u666f\u548c\u4e2a\u4eba\u504f\u597d\u6765\u51b3\u5b9a\u3002Python\u4f5c\u56fe\u7684\u4e00\u5927\u4f18\u52bf\u662f<strong>\u6269\u5c55\u6027\u548c\u7075\u6d3b\u6027<\/strong>\uff0c\u5c24\u5176\u9002\u5408\u9700\u8981\u4e0e\u590d\u6742\u6570\u636e\u5904\u7406\u6d41\u7a0b\u96c6\u6210\u7684\u573a\u666f\u3002\u800cMATLAB\u7684\u4f18\u52bf\u5219\u4f53\u73b0\u5728<strong>\u7528\u6237\u53cb\u597d<\/strong>\u548c<strong>\u4e13\u95e8\u9488\u5bf9\u5de5\u7a0b\u8ba1\u7b97\u7684\u4f18\u5316<\/strong>\u4e0a\uff0c\u9002\u5408\u90a3\u4e9b\u9700\u8981\u9ad8\u6548\u51c6\u786e\u5b8c\u6210\u79d1\u5b66\u7814\u7a76\u548c\u5de5\u7a0b\u8bbe\u8ba1\u7684\u7528\u6237\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u7ed8\u56fe\u5b9a\u5236\u4e0e\u4ea4\u4e92\u6027<\/strong>\uff1aPython\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u53ef\u4ee5\u66f4\u7ec6\u81f4\u5730\u8c03\u6574\u56fe\u8868\u7684\u5916\u89c2\uff1b\u800cMATLAB\u867d\u7136\u5728\u9ed8\u8ba4\u60c5\u51b5\u4e0b\u80fd\u591f\u5feb\u901f\u5f97\u51fa\u7f8e\u89c2\u7684\u56fe\u8868\uff0c\u4f46\u5728\u9ad8\u7ea7\u5b9a\u5236\u6027\u65b9\u9762\u7565\u900a\u4e00\u7b79\u3002<\/li>\n<li><strong>\u5b66\u4e60\u66f2\u7ebf<\/strong>\uff1aPython\u7684\u5b66\u4e60\u66f2\u7ebf\u53ef\u80fd\u7565\u663e\u9661\u5ced\uff0c\u7279\u522b\u662f\u5bf9\u7f16\u7a0b\u521d\u5b66\u8005\u6765\u8bf4\uff1bMATLAB\u5219\u56e0\u5176\u7b80\u5316\u7684\u7f16\u7a0b\u8bed\u6cd5\u548c\u5e9e\u5927\u7684\u7528\u6237\u57fa\u7840\uff0c\u5728\u5b66\u4e60\u66f2\u7ebf\u4e0a\u8f83\u4e3a\u5e73\u7f13\u3002<\/li>\n<li><strong>\u7efc\u5408\u6210\u672c<\/strong>\uff1a\u4ece\u6210\u672c\u89d2\u5ea6\u6765\u770b\uff0cPython\u56e0\u4e3a\u662f\u5f00\u6e90\u514d\u8d39\u7684\uff0c\u5bf9\u9884\u7b97\u6709\u9650\u7684\u4e2a\u4eba\u7528\u6237\u6216\u5c0f\u578b\u56e2\u961f\u6765\u8bf4\u66f4\u6709\u4f18\u52bf\uff1bMATLAB\u5219\u901a\u5e38\u9700\u8981\u4ed8\u8d39\u83b7\u5f97\u5b8c\u6574\u7684\u4f7f\u7528\u6743\u9650\uff0c\u8fd9\u53ef\u80fd\u662f\u9700\u8981\u8003\u8651\u7684\u56e0\u7d20\u4e4b\u4e00\u3002<\/li>\n<\/ul>\n<p><h3><strong>\u56db\u3001\u5b9e\u9645\u5e94\u7528\u573a\u666f<\/strong><\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u573a\u666f\u4e2d\uff0cPython\u548cMATLAB\u7684\u9009\u62e9\u5f80\u5f80\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u80cc\u666f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong>\uff1a\u8bb8\u591a\u79d1\u7814\u5de5\u4f5c\u8005\u504f\u597d\u4f7f\u7528MATLAB\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u4f5c\u56fe\uff0c\u56e0\u4e3a\u5b83\u4e3a\u6570\u503c\u8ba1\u7b97\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5185\u7f6e\u529f\u80fd\u548c\u5de5\u5177\u7bb1\u3002<\/li>\n<li><strong>\u5de5\u7a0b\u8bbe\u8ba1<\/strong>\uff1a\u5de5\u7a0b\u5e08\u901a\u5e38\u4f7f\u7528MATLAB\u6765\u8fdb\u884c\u7cfb\u7edf\u4eff\u771f\u3001\u4fe1\u53f7\u5904\u7406\u548c\u63a7\u5236\u7cfb\u7edf\u8bbe\u8ba1\u7b49\uff0c\u5176\u4e2d\u7684\u4f5c\u56fe\u529f\u80fd\u5219\u7528\u6765\u5c55\u793a\u7ed3\u679c\u548c\u64b0\u5199\u62a5\u544a\u3002<\/li>\n<li><strong>\u6570\u636e\u79d1\u5b66<\/strong>\uff1a\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5206\u6790\u5e08\u5219\u503e\u5411\u4e8e\u4f7f\u7528Python\uff0c\u5e76\u5229\u7528matplotlib\u548c\u5176\u4ed6\u5e93\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4ee5\u4fbf\u8fdb\u884c\u6570\u636e\u63a2\u7d22\u548c\u5448\u73b0\u5206\u6790\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p><h3><strong>\u4e94\u3001\u7ed3\u8bba<\/strong><\/h3>\n<\/p>\n<p><p>\u603b\u7684\u6765\u8bf4\uff0c\u5728\u53ea\u8003\u8651\u4f5c\u56fe\u529f\u80fd\u65f6\uff0c<strong>Python\u548cMATLAB\u90fd\u662f\u975e\u5e38\u6709\u529b\u7684\u5de5\u5177\uff0c\u5177\u6709\u4e00\u5b9a\u7684\u53ef\u6bd4\u6027<\/strong>\u3002\u5b83\u4eec\u5404\u6709\u5f3a\u9879\uff0c\u9002\u5408\u4e0d\u540c\u7684\u7528\u6237\u7fa4\u4f53\u548c\u5e94\u7528\u60c5\u666f\u3002Python\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7075\u6d3b\u4e14\u6210\u672c\u4f4e\u5ec9\u7684\u4f5c\u56fe\u89e3\u51b3\u65b9\u6848\uff0c\u800cMATLAB\u5219\u4ee5\u5176\u6613\u7528\u6027\u548c\u9488\u5bf9\u5de5\u7a0b\u4f18\u5316\u7684\u5de5\u5177\u800c\u53d7\u5230\u9752\u7750\u3002\u7528\u6237\u5e94\u6839\u636e\u81ea\u8eab\u7684\u9700\u6c42\u548c\u80cc\u666f\uff0c\u9009\u62e9\u6700\u9002\u5408\u81ea\u5df1\u7684\u4f5c\u56fe\u5de5\u5177\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1. MATLAB\u4e0ePython\u5728\u4f5c\u56fe\u65b9\u9762\u6709\u4f55\u533a\u522b\uff1f<\/strong><br \/>\nMATLAB \u548c Python \u5728\u4f5c\u56fe\u65b9\u9762\u6709\u4e00\u4e9b\u76f8\u4f3c\u4e4b\u5904\uff0c\u4f46\u4e5f\u5b58\u5728\u4e00\u4e9b\u533a\u522b\u3002MATLAB\u5177\u6709\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\u548c\u76f4\u89c2\u7684\u7528\u6237\u754c\u9762\uff0c\u53ef\u4ee5\u5feb\u901f\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002Python\u5219\u501f\u52a9\u4e8e\u7b2c\u4e09\u65b9\u5e93\uff08\u4f8b\u5982Matplotlib\u548cSeaborn\uff09\u63d0\u4f9b\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u867d\u7136\u5728\u4f7f\u7528\u4e0a\u53ef\u80fd\u7a0d\u663e\u590d\u6742\uff0c\u4f46\u5b83\u5177\u6709\u66f4\u9ad8\u7684\u7075\u6d3b\u6027\u548c\u6269\u5c55\u6027\u3002<\/p>\n<p><strong>2. Python\u7684\u7ed8\u56fe\u5e93\u4e0eMATLAB\u76f8\u6bd4\uff0c\u6709\u4ec0\u4e48\u4f18\u52bf\uff1f<\/strong><br \/>\nPython\u7684\u7ed8\u56fe\u5e93\u76f8\u5bf9\u4e8eMATLAB\u7684\u4f18\u52bf\u4e4b\u4e00\u662f\u5176\u5de8\u5927\u7684\u751f\u6001\u7cfb\u7edf\u3002\u7531\u4e8ePython\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u62e5\u6709\u5927\u91cf\u7684\u5f00\u6e90\u5e93\u548c\u793e\u533a\u652f\u6301\u3002\u8fd9\u610f\u5473\u7740Python\u7684\u7ed8\u56fe\u5e93\u5728\u529f\u80fd\u4e30\u5bcc\u5ea6\u548c\u7075\u6d3b\u6027\u65b9\u9762\u66f4\u5177\u4f18\u52bf\u3002\u53e6\u5916\uff0cPython\u7684\u7ed8\u56fe\u5e93\u8fd8\u53ef\u4ee5\u4e0e\u5176\u4ed6\u6570\u636e\u5206\u6790\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5de5\u5177\u96c6\u6210\uff0c\u4f7f\u5176\u5728\u7ed8\u5236\u590d\u6742\u56fe\u8868\u548c\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\u66f4\u5177\u4f18\u52bf\u3002<\/p>\n<p><strong>3. \u4ee5\u540e\u9009\u62e9\u4f7f\u7528\u54ea\u79cd\u8bed\u8a00\u4f5c\u56fe\u66f4\u597d\uff0cMATLAB\u8fd8\u662fPython\uff1f<\/strong><br \/>\n\u9009\u62e9\u4f7f\u7528\u54ea\u79cd\u8bed\u8a00\u4f5c\u56fe\u53d6\u51b3\u4e8e\u60a8\u7684\u5177\u4f53\u9700\u6c42\u548c\u80cc\u666f\u3002\u5982\u679c\u60a8\u5df2\u7ecf\u719f\u6089MATLAB\u5e76\u4e14\u9700\u8981\u5feb\u901f\u751f\u6210\u5404\u79cd\u56fe\u8868\uff0c\u90a3\u4e48MATLAB\u53ef\u80fd\u66f4\u9002\u5408\u60a8\u3002\u4f46\u662f\uff0c\u5982\u679c\u60a8\u662f\u4e00\u4f4dPython\u5f00\u53d1\u8005\u6216\u8005\u5e0c\u671b\u5c06\u56fe\u8868\u4e0e\u5176\u4ed6\u6570\u636e\u5206\u6790\u5de5\u5177\u96c6\u6210\uff0c\u90a3\u4e48Python\u53ef\u80fd\u66f4\u9002\u5408\u60a8\u3002\u6b64\u5916\uff0c\u8003\u8651\u5230Python\u7684\u5e7f\u6cdb\u5e94\u7528\u548c\u5f3a\u5927\u7684\u751f\u6001\u7cfb\u7edf\uff0c\u5b66\u4e60\u548c\u4f7f\u7528Python\u7684\u7ed8\u56fe\u5e93\u53ef\u80fd\u4f1a\u4e3a\u60a8\u63d0\u4f9b\u66f4\u5e7f\u9614\u7684\u53d1\u5c55\u673a\u4f1a\u3002\u6240\u4ee5\u6700\u7ec8\u9009\u62e9\u54ea\u79cd\u8bed\u8a00\uff0c\u53d6\u51b3\u4e8e\u60a8\u7684\u9700\u6c42\u548c\u4e2a\u4eba\u504f\u597d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u548cMATLAB\u5728\u4f5c\u56fe\u65b9\u9762\u786e\u5b9e\u6709\u53ef\u6bd4\u6027\uff0c\u8fd9\u4e24\u79cd\u5de5\u5177\u90fd\u5e7f\u6cdb\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u9886\u57df\uff0c\u5b83\u4eec\u62e5\u6709\u5f3a\u5927\u7684\u6570\u636e\u53ef [&hellip;]","protected":false},"author":3,"featured_media":173282,"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\/173267"}],"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=173267"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/173267\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/173282"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=173267"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=173267"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=173267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}