{"id":2204,"date":"2023-07-23T06:44:48","date_gmt":"2023-07-23T06:44:48","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%80%bc%e6%95%b0%e9%87%8f\/"},"modified":"2023-07-23T06:44:48","modified_gmt":"2023-07-23T06:44:48","slug":"%e6%95%b0%e5%80%bc%e6%95%b0%e9%87%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%80%bc%e6%95%b0%e9%87%8f\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 numpy \u8ba1\u7b97\u5411\u91cf\u7684\u5927\u5c0f"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7ed9\u5b9a\u5411\u91cf x \u7684<strong>\u8303\u6570<\/strong>\u8ba1\u7b97\u5982\u4e0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\">||x|| = \u221a <span style=\"border-top: 1px solid black;\">x <sub>1<\/sub> <sup>2<\/sup> + x <sub>2<\/sub> <sup>2<\/sup> + x <sub>3<\/sub> <sup>2<\/sup> + \u2026 + x <sub>n<\/sub> <sup>2<\/sup><\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u5047\u8bbe x = [3, 7, 4]<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e45\u5ea6\u8ba1\u7b97\u5982\u4e0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\">||x|| = \u221a <span style=\"border-top: 1px solid black;\">3 <sup>2<\/sup> + 7 <sup>2<\/sup> + 4 <sup>2<\/sup><\/span> = \u221a <span style=\"border-top: 1px solid black;\">74<\/span> = 8.602<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528 Python \u4e2d\u7684<a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy<\/a>\u5305\u4f7f\u7528\u4e24\u79cd\u65b9\u6cd5\u4e4b\u4e00\u6765\u8ba1\u7b97\u5411\u91cf\u7684\u5927\u5c0f\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd51\uff1a\u4f7f\u7528linalg.norm()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>n.p. <span style=\"color: #3366ff;\">linalg<\/span> . <span style=\"color: #3366ff;\">norm<\/span> (v)<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u4f7f\u7528\u81ea\u5b9a\u4e49 NumPy \u51fd\u6570<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>n.p. <span style=\"color: #3366ff;\">sqrt<\/span> ( <span style=\"color: #3366ff;\">x.dot<\/span> (x))\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4e24\u79cd\u65b9\u6cd5\u90fd\u4f1a\u8fd4\u56de\u5b8c\u5168\u76f8\u540c\u7684\u7ed3\u679c\uff0c\u4f46\u7b2c\u4e8c\u79cd\u65b9\u6cd5\u5f80\u5f80\u8981\u5feb\u5f97\u591a\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u5927\u5411\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd51\uff1a\u4f7f\u7528linalg.norm()<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>np.linalg.norm()<\/strong>\u51fd\u6570\u6765\u8ba1\u7b97\u7ed9\u5b9a\u5411\u91cf\u7684\u5927\u5c0f\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;\">#definevector\n<span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">array<\/span> ([3, 6, 6, 4, 8, 12, 13])\n\n<span style=\"color: #008080;\">#calculate magnitude of vector<\/span>\nn.p. <span style=\"color: #3366ff;\">linalg<\/span> . <span style=\"color: #3366ff;\">norm<\/span> (x)\n\n21.77154105707724\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u77e2\u91cf\u7684\u5927\u5c0f\u662f<strong>21.77<\/strong> \u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u4f7f\u7528\u81ea\u5b9a\u4e49 NumPy \u51fd\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u81ea\u5b9a\u4e49 NumPy \u51fd\u6570\u6765\u8ba1\u7b97\u7ed9\u5b9a\u5411\u91cf\u7684\u5927\u5c0f\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;\">#definevector\n<span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">array<\/span> ([3, 6, 6, 4, 8, 12, 13])\n\n<span style=\"color: #008080;\">#calculate magnitude of vector\n<\/span>n.p. <span style=\"color: #3366ff;\">sqrt<\/span> ( <span style=\"color: #3366ff;\">x.dot<\/span> (x))\n\n21.77154105707724\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u77e2\u91cf\u7684\u5927\u5c0f\u662f<strong>21.77<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u8fd9\u4e0e\u6211\u4eec\u4f7f\u7528\u4e4b\u524d\u7684\u65b9\u6cd5\u8ba1\u7b97\u51fa\u7684\u503c\u76f8\u5339\u914d\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 NumPy \u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u6570\u5b57\u5361\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06\u51fd\u6570\u6620\u5c04\u5230 NumPy \u6570\u7ec4<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u6dfb\u52a0\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5411 NumPy \u6570\u7ec4\u6dfb\u52a0\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-numpy-\u6570\u7ec4\u5217\u8868\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u5c06 NumPy \u6570\u7ec4\u8f6c\u6362\u4e3a\u5217\u8868<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7ed9\u5b9a\u5411\u91cf x \u7684\u8303\u6570\u8ba1\u7b97\u5982\u4e0b\uff1a ||x|| = \u221a x 1 2 + x 2 2 + x 3 2 + \u2026 + x [&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-2204","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\u4f7f\u7528 NumPy \u8ba1\u7b97\u5411\u91cf\u7684\u5927\u5c0f - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u8bf4\u660e\u5982\u4f55\u4f7f\u7528 Python \u4e2d\u7684 NumPy \u5305\u8ba1\u7b97\u5411\u91cf\u7684\u5927\u5c0f\u3002\" \/>\n<meta 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