{"id":3515,"date":"2023-07-17T02:21:36","date_gmt":"2023-07-17T02:21:36","guid":{"rendered":"https:\/\/statorials.org\/cn\/numpy%e6%9c%80%e5%b0%8f%e8%be%b9%e7%9a%84%e8%b0%83%e6%95%b4\/"},"modified":"2023-07-17T02:21:36","modified_gmt":"2023-07-17T02:21:36","slug":"numpy%e6%9c%80%e5%b0%8f%e8%be%b9%e7%9a%84%e8%b0%83%e6%95%b4","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/numpy%e6%9c%80%e5%b0%8f%e8%be%b9%e7%9a%84%e8%b0%83%e6%95%b4\/","title":{"rendered":"\u5982\u4f55\u5728 numpy \u4e2d\u6267\u884c\u6700\u5c0f\u4e8c\u4e58\u62df\u5408\uff08\u5e26\u6709\u793a\u4f8b\uff09"},"content":{"rendered":"<hr>\n<p><span style=\"color: #000000;\"><strong>\u6700\u5c0f\u4e8c\u4e58\u6cd5<\/strong>\u662f\u6211\u4eec\u53ef\u4ee5\u7528\u6765\u627e\u5230\u6700\u9002\u5408\u7ed9\u5b9a\u6570\u636e\u96c6\u7684\u56de\u5f52\u7ebf\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 NumPy \u4e2d\u7684<strong>linalg.lstsq(<\/strong> ) \u51fd\u6570\u6765\u6267\u884c\u6700\u5c0f\u4e8c\u4e58\u8c03\u6574\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u5206\u6b65\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u529f\u80fd\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u7b2c1\u6b65\uff1a\u8f93\u5165X\u548cY\u7684\u503c<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u8ba9\u6211\u4eec\u9996\u5148\u521b\u5efa\u4ee5\u4e0b NumPy \u6570\u7ec4\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y arrays\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([6, 7, 7, 8, 12, 14, 15, 16, 16, 19])\n\ny = np. <span style=\"color: #3366ff;\">array<\/span> ([14, 15, 15, 17, 18, 18, 19, 24, 25, 29])\n<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u6b65\u9aa4 2\uff1a\u6267\u884c\u6700\u5c0f\u4e8c\u4e58\u5e73\u5dee<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u6267\u884c\u6700\u5c0f\u4e8c\u4e58\u62df\u5408\u5e76\u627e\u5230\u6700\u201c\u9002\u5408\u201d\u6570\u636e\u7684\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform least squares fitting\n<\/span>n.p. <span style=\"color: #3366ff;\">linalg<\/span> . <span style=\"color: #3366ff;\">lstsq<\/span> (np. <span style=\"color: #3366ff;\">vstack<\/span> ([x, np. <span style=\"color: #3366ff;\">ones<\/span> ( <span style=\"color: #008000;\">len<\/span> (x))]). <span style=\"color: #3366ff;\">T<\/span> , y, rcond= <span style=\"color: #008000;\">None<\/span> )[ <span style=\"color: #008000;\">0<\/span> ]\n\narray([0.96938776, 7.76734694])\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7ed3\u679c\u662f\u4e00\u4e2a\u5305\u542b\u6700\u4f73\u62df\u5408\u7ebf\u7684<strong>\u659c\u7387<\/strong>\u548c<strong>\u622a\u8ddd<\/strong>\u503c\u7684\u8868\u683c\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u659c\u7387\uff1a <strong>0.969<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u62a2\u65ad\uff1a <strong>7,767<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4f7f\u7528\u8fd9\u4e24\u4e2a\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u5199\u51fa\u6700\u4f73\u62df\u5408\u7ebf\u7684\u65b9\u7a0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0177 = 7.767 + 0.969x<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u7b2c 3 \u6b65\uff1a\u89e3\u91ca\u7ed3\u679c<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u6700\u4f73\u62df\u5408\u7ebf\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5f53 x \u4e3a 0 \u65f6\uff0cy \u7684\u5e73\u5747\u503c\u4e3a<strong><span id=\"interceptOut\">7.767<\/span><\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">x \u6bcf\u589e\u52a0\u4e00\u4e2a\u5355\u4f4d\uff0cy \u5e73\u5747\u589e\u52a0<strong>0.969<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u6700\u4f73\u62df\u5408\u7ebf\u6839\u636e x \u7684\u503c\u6765\u9884\u6d4b y \u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u5982\u679c xa \u7684\u503c\u4e3a 10\uff0c\u90a3\u4e48\u6211\u4eec\u9884\u6d4b y \u7684\u503c\u4e3a<strong>17.457<\/strong> \uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u0177 = 7.767 + 0.969x<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0177 = 7.767 + 0.969(10)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0177 = 17.457<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 NumPy \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/numpy-\u4ece\u6570\u7ec4\u4e2d\u5220\u9664\u5143\u7d20\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4ece NumPy \u6570\u7ec4\u4e2d\u5220\u9664\u7279\u5b9a\u5143\u7d20<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u83b7\u53d6numpy\u6570\u7ec4\u6700\u5927\u503c\u7684\u7d22\u5f15\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u83b7\u53d6 NumPy \u6570\u7ec4\u4e2d\u7684\u6700\u5927\u503c\u7d22\u5f15<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u586b\u5145\u6570\u7ec4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528\u503c\u586b\u5145 NumPy \u6570\u7ec4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6700\u5c0f\u4e8c\u4e58\u6cd5\u662f\u6211\u4eec\u53ef\u4ee5\u7528\u6765\u627e\u5230\u6700\u9002\u5408\u7ed9\u5b9a\u6570\u636e\u96c6\u7684\u56de\u5f52\u7ebf\u7684\u65b9\u6cd5\u3002 \u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 NumPy \u4e2d\u7684linalg.ls [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3515","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 NumPy \u4e2d\u6267\u884c\u6700\u5c0f\u4e8c\u4e58\u5e73\u5dee\uff08\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" 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