{"id":1950,"date":"2023-07-24T08:20:22","date_gmt":"2023-07-24T08:20:22","guid":{"rendered":"https:\/\/statorials.org\/cn\/numpy-%e7%82%b9%e7%a7%af\/"},"modified":"2023-07-24T08:20:22","modified_gmt":"2023-07-24T08:20:22","slug":"numpy-%e7%82%b9%e7%a7%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/numpy-%e7%82%b9%e7%a7%af\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 numpy \u8ba1\u7b97\u70b9\u79ef"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7ed9\u5b9a\u5411\u91cf<em>a<\/em> = [a <sub>1<\/sub> , a <sub>2<\/sub> , a <sub>3<\/sub> ] \u548c\u5411\u91cf<em>b<\/em> = [b <sub>1<\/sub> , b <sub>2<\/sub> , b <sub>3<\/sub> ]\uff0c\u5411\u91cf\u7684<strong>\u6807\u91cf\u79ef<\/strong>\uff08\u8868\u793a\u4e3a<strong>a \u00b7 b<\/strong> \uff09\u7531\u4e0b\u5f0f\u7ed9\u51fa\uff1a<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>ab<\/strong> = a <sub>1<\/sub> * b <sub>1<\/sub> + a <sub>2<\/sub> * b <sub>2<\/sub> + a <sub>3<\/sub> * b <sub>3<\/sub><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u5982\u679c<em>a<\/em> = [2, 5, 6] \u4e14<em>b<\/em> = [4, 3, 2]\uff0c\u5219<em>a<\/em>\u548c<em>b<\/em>\u7684\u70b9\u79ef\u5c06\u7b49\u4e8e\uff1a<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>ab =<\/strong> 2*4 + 5*3 + 6*2<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>ab =<\/strong> 8 + 15 + 12<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>ab =<\/strong> 35<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7b80\u5355\u6765\u8bf4\uff0c\u70b9\u79ef\u5c31\u662f\u4e24\u4e2a\u5411\u91cf\u4e2d\u5bf9\u5e94\u6761\u76ee\u7684\u4e58\u79ef\u4e4b\u548c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>numpy.dot()<\/strong>\u51fd\u6570\u5feb\u901f\u8ba1\u7b97\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u70b9\u79ef\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<\/span>\n<\/span>n.p. <span style=\"color: #3366ff;\">dowry<\/span> (a, b)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u8ba1\u7b97\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u70b9\u79ef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u4f7f\u7528<strong>numpy.dot()<\/strong>\u8ba1\u7b97\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u70b9\u79ef\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;\">#definevectors<\/span>\na = [7, 2, 2]\nb = [1, 4, 9]\n\n<span style=\"color: #008080;\">#calculate dot product between vectors<\/span>\nn.p. <span style=\"color: #3366ff;\">dowry<\/span> (a, b)\n\n33\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8be5\u503c\u7684\u8ba1\u7b97\u65b9\u6cd5\u5982\u4e0b\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>ab =<\/strong> 7*1 + 2*4 + 2*9<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>ab =<\/strong> 7 + 8 + 18<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>ab =<\/strong> 33<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u8ba1\u7b97\u4e24\u5217\u4e4b\u95f4\u7684\u70b9\u79ef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u4f7f\u7528<strong>numpy.dot()<\/strong>\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e24\u5217\u4e4b\u95f4\u7684\u70b9\u79ef\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\nimport<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [4, 6, 7, 7, 9],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, 7, 2, 2],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [11, 8, 9, 6, 1]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C\n0 4 5 11\n1 6 7 8\n2 7 7 9\n3 7 2 6\n4 9 2 1\n\n<span style=\"color: #008080;\">#calculate dot product between column A and column C<\/span>\nn.p. <span style=\"color: #3366ff;\">dot<\/span> (df. <span style=\"color: #3366ff;\">A<\/span> , df. <span style=\"color: #3366ff;\">C<\/span> )\n\n206\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8be5\u503c\u7684\u8ba1\u7b97\u65b9\u6cd5\u5982\u4e0b\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u4ea4\u6d41\u7535 =<\/strong> 4*11 + 6*8 + 7*9 + 7*6 + 9*1<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u4ea4\u6d41=<\/strong> 44+48+63+42+9<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>A C =<\/strong> 206<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f\uff1a<\/strong>\u8bf7\u8bb0\u4f4f\uff0c\u5982\u679c\u60a8\u8ba1\u7b97\u70b9\u79ef\u7684\u4e24\u4e2a\u5411\u91cf\u5177\u6709\u4e0d\u540c\u7684\u957f\u5ea6\uff0cPython \u5c06\u629b\u51fa\u9519\u8bef\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5c06\u884c\u6dfb\u52a0\u5230\u6570\u636e\u6846\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5411 Pandas DataFrame \u6dfb\u52a0\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5c06-numpy-\u6570\u7ec4\u6dfb\u52a0\u5230-pandas-\u6570\u636e\u5e27\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 Numpy \u6570\u7ec4\u6dfb\u52a0\u5230 Pandas DataFrame<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas\u76f8\u5173\u8f74\u627f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97pandas\u4e2d\u7684\u6ed1\u52a8\u76f8\u5173\u6027<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7ed9\u5b9a\u5411\u91cfa = [a 1 , a 2 , a 3 ] \u548c\u5411\u91cfb = [b 1 , b 2 , b 3 ]\uff0c\u5411\u91cf [&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-1950","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\u70b9\u79ef - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 NumPy \u8ba1\u7b97\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u70b9\u79ef\u3002\" 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