{"id":1782,"date":"2023-07-25T00:34:00","date_gmt":"2023-07-25T00:34:00","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%b0%86-numpy-%e5%af%bc%e5%85%a5%e4%b8%ba-np\/"},"modified":"2023-07-25T00:34:00","modified_gmt":"2023-07-25T00:34:00","slug":"%e5%b0%86-numpy-%e5%af%bc%e5%85%a5%e4%b8%ba-np","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%b0%86-numpy-%e5%af%bc%e5%85%a5%e4%b8%ba-np\/","title":{"rendered":"\u4f7f\u7528 numpy \u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff1a import numpy as np"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><b>NumPy<\/b>\u4ee3\u8868 Numerical Python\uff0c\u662f\u4e00\u4e2a\u57fa\u4e8e Python \u7f16\u7a0b\u8bed\u8a00\u6784\u5efa\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5c06 NumPy \u5bfc\u5165 Python \u73af\u5883\u7684\u6700\u5e38\u89c1\u65b9\u6cd5\u662f\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee3\u7801\u7684<strong>import numpy<\/strong>\u90e8\u5206\u544a\u8bc9 Python \u5c06 NumPy \u5e93\u96c6\u6210\u5230\u60a8\u5f53\u524d\u7684\u73af\u5883\u4e2d\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7136\u540e\uff0c\u4ee3\u7801\u7684<strong>as np<\/strong>\u90e8\u5206\u544a\u8bc9 Python \u4e3a NumPy \u63d0\u4f9b<strong>np<\/strong>\u7684\u522b\u540d\u3002\u8fd9\u5141\u8bb8\u60a8\u901a\u8fc7\u7b80\u5355\u5730\u952e\u5165 np.function_name \u800c\u4e0d\u662f numpy.function_name \u6765\u4f7f\u7528 NumPy \u51fd\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bfc\u5165 NumPy \u540e\uff0c\u60a8\u5c31\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u5feb\u901f\u521b\u5efa\u548c\u5206\u6790\u6570\u636e\u3002<\/span><\/p>\n<h3><strong><span style=\"color: #000000;\">\u5982\u4f55\u521b\u5efa\u57fa\u672c\u7684 NumPy \u6570\u7ec4<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u5728 NumPy \u4e2d\u4f7f\u7528\u7684\u6700\u5e38\u89c1\u7684\u6570\u636e\u7c7b\u578b\u662f<strong>array<\/strong> \uff0c\u53ef\u4ee5\u4f7f\u7528<strong>np.array()<\/strong>\u51fd\u6570\u521b\u5efa\u5b83\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u521b\u5efa\u57fa\u672c\u7684\u4e00\u7ef4 NumPy \u6570\u7ec4\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<\/span>\n#define array<\/span>\nx = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 12, 14, 9, 5])\n\n<span style=\"color: #008080;\">#display array<\/span>\n<span style=\"color: #008000;\">print<\/span> (x)\n\n[1 12 14 9 5]\n\n<span style=\"color: #008080;\">#display number of elements in array<\/span>\nx. <span style=\"color: #3366ff;\">size<\/span>\n\n5<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u60a8\u8fd8\u53ef\u4ee5\u521b\u5efa\u591a\u4e2a\u8868\u5e76\u5bf9\u5b83\u4eec\u6267\u884c\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u7b49\u8fd0\u7b97\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np \n\n<span style=\"color: #008080;\">#define arrays<\/span><\/span>\n<span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 12, 14, 9, 5])\ny = np. <span style=\"color: #3366ff;\">array<\/span> ([2, 3, 3, 4, 2])\n\n<\/span><span style=\"color: #008080;\">#add the two arrays<\/span>\nx+y\n\narray([ 3, 15, 17, 13, 7])\n\n<span style=\"color: #008080;\">#subtract the two arrays<\/span>\nxy\n\narray([-1, 9, 11, 5, 3])\n\n<span style=\"color: #008080;\">#multiply the two arrays<\/span>\nx*y\n\narray([ 2, 36, 42, 36, 10])\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u67e5\u770b<a href=\"https:\/\/numpy.org\/doc\/stable\/user\/absolute_beginners.html\" target=\"_blank\" rel=\"noopener\">NumPy \u7edd\u5bf9\u521d\u5b66\u8005\u6307\u5357\uff0c<\/a>\u8be6\u7ec6\u4ecb\u7ecd NumPy \u7684\u6240\u6709\u57fa\u672c\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5bfc\u5165 NumPy \u65f6\u7684\u6f5c\u5728\u9519\u8bef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5bfc\u5165 NumPy \u65f6\u53ef\u80fd\u9047\u5230\u7684\u6f5c\u5728\u9519\u8bef\u662f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #ff0000;\">NameError<\/span> : name 'np' is not defined\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5f53\u5bfc\u5165 NumPy \u65f6\u672a\u80fd\u4e3a\u5176\u6dfb\u52a0\u522b\u540d\u65f6\uff0c\u5c31\u4f1a\u53d1\u751f\u8fd9\u79cd\u60c5\u51b5\u3002\u9605\u8bfb<a href=\"https:\/\/statorials.org\/cn\/\u540d\u79f0\u9519\u8bef\u540d\u79f0-np-\u672a\u5b9a\u4e49\/\" target=\"_blank\" rel=\"noopener\">\u672c\u6559\u7a0b<\/a>\u4ee5\u4e86\u89e3\u5982\u4f55\u5feb\u901f\u4fee\u590d\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5982\u679c\u60a8\u60f3\u4e86\u89e3\u6709\u5173 NumPy \u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u67e5\u770b\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">Python \u7edf\u8ba1\u6307\u5357\u7684\u5b8c\u6574\u5217\u8868<\/a><br \/><a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy \u5728\u7ebf\u6587\u6863\u9875\u9762<\/a><br \/><a href=\"https:\/\/twitter.com\/numpy_team?lang=en\" target=\"_blank\" rel=\"noopener\">NumPy \u5b98\u65b9 Twitter \u9875\u9762<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NumPy\u4ee3\u8868 Numerical Python\uff0c\u662f\u4e00\u4e2a\u57fa\u4e8e Python \u7f16\u7a0b\u8bed\u8a00\u6784\u5efa\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u3002 \u5c06 N [&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-1782","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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\u4e2d\u7684\u6700\u7b80\u5355\u3001\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a import numpy as np.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/cn\/\u5c06-numpy-\u5bfc\u5165\u4e3a-np\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T00:34:00+00:00\" \/>\n<meta name=\"author\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" 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