{"id":3839,"date":"2023-07-15T06:19:56","date_gmt":"2023-07-15T06:19:56","guid":{"rendered":"https:\/\/statorials.org\/cn\/numpy-%e6%8e%92%e8%a1%8c%e6%a6%9c\/"},"modified":"2023-07-15T06:19:56","modified_gmt":"2023-07-15T06:19:56","slug":"numpy-%e6%8e%92%e8%a1%8c%e6%a6%9c","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/numpy-%e6%8e%92%e8%a1%8c%e6%a6%9c\/","title":{"rendered":"\u5982\u4f55\u5bf9 numpy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u6392\u5e8f\uff08\u5e26\u6709\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4efb\u610f\u65b9\u6cd5\u6765\u8ba1\u7b97 NumPy \u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u987a\u5e8f\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1\uff1a\u4f7f\u7528 NumPy \u4e2d\u7684 argsort()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\nranks = np. <span style=\"color: #3366ff;\">array<\/span> (my_array). <span style=\"color: #3366ff;\">argsort<\/span> (). <span style=\"color: #3366ff;\">argsort<\/span> ()\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd52\uff1a\u4f7f\u7528SciPy\u7684Rankdata()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> rankdata\n\nranks = rankdata(my_array)\n<\/b><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u4ee5\u4e0b NumPy \u6570\u7ec4\u7684\u6bcf\u79cd\u65b9\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008080;\">\n#define array of values\n<\/span>my_array = np. <span style=\"color: #3366ff;\">array<\/span> ([3, 5, 2, 1, 9, 9])\n\n<span style=\"color: #008080;\">#view array\n<\/span><span style=\"color: #008000;\">print<\/span> (my_array)\n\n[3 5 2 1 9 9]<\/b><\/span><\/pre>\n<h2><strong><span style=\"color: #000000;\">\u793a\u4f8b 1\uff1a\u4f7f\u7528 argsort() \u5bf9 NumPy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u6392\u5e8f<\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 NumPy \u7684<strong>argsort()<\/strong>\u51fd\u6570\u5bf9\u6570\u7ec4\u5143\u7d20\u8fdb\u884c\u6392\u5e8f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate rank of each item in array\n<\/span>ranks = np. <span style=\"color: #3366ff;\">array<\/span> (my_array). <span style=\"color: #3366ff;\">argsort<\/span> (). <span style=\"color: #3366ff;\">argsort<\/span> ()\n\n<span style=\"color: #008080;\">#view ranks\n<\/span><span style=\"color: #008000;\">print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7ed3\u679c\u663e\u793a\u539f\u59cb\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u6392\u540d\uff0c <strong>0<\/strong>\u4ee3\u8868\u6700\u4f4e\u503c\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u4e0d\u9700\u8981\u52a0\u8f7d\u4efb\u4f55\u989d\u5916\u7684\u6a21\u5757\uff0c\u4f46\u7f3a\u70b9\u662f<strong>argsort()<\/strong>\u53ea\u6709\u4e00\u79cd\u5904\u7406\u94fe\u63a5\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c <strong>argsort()<\/strong>\u4f7f\u7528\u5e8f\u6570\u65b9\u6cd5\u6765\u5904\u7406\u94fe\u63a5\uff0c\u8fd9\u610f\u5473\u7740\u9996\u5148\u51fa\u73b0\u7684\u94fe\u63a5\u503c\u4f1a\u81ea\u52a8\u83b7\u5f97\u8f83\u4f4e\u7684\u6392\u540d\u3002<\/span><\/p>\n<h2><strong><span style=\"color: #000000;\">\u793a\u4f8b 2\uff1a\u4f7f\u7528 Rankdata() \u5bf9 NumPy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u6392\u540d<\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 SciPy \u7684<strong>Rankdata()<\/strong>\u51fd\u6570\u5bf9\u6570\u7ec4\u5143\u7d20\u8fdb\u884c\u6392\u540d\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;\"><b><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> rankdata<\/b><\/span>\n\n#calculate rank of each item in array\n<\/span><b>ranks = rankdata(my_array)<\/b>\n\n<span style=\"color: #008080;\">#view ranks\n<\/span><span style=\"color: #008000;\">print<\/span> (ranks)\n\narray([3. , 4. , 2. , 1. , 5.5, 5.5])\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u663e\u793a\u539f\u59cb\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u6392\u540d\uff0c\u5176\u4e2d<strong>1<\/strong>\u4ee3\u8868\u6700\u5c0f\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u60a8\u5e0c\u671b<strong>0<\/strong>\u4ee3\u8868\u6700\u5c0f\u503c\uff0c\u53ea\u9700\u5c06\u6bcf\u4e2a\u503c\u51cf\u53bb 1\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;\"><b><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> rankdata<\/b>\n<\/span>\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array) - 1\n\n<span style=\"color: #008080;\">#view ranks\n<\/span><span style=\"color: #008000;\">print<\/span> (ranks)\n\n[2. 3. 1. 0. 4.5 4.5]<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c <strong>Rankdata()<\/strong>\u51fd\u6570\u5c06\u5e73\u5747\u6392\u540d\u5206\u914d\u7ed9\u6240\u6709\u5177\u6709\u8054\u7cfb\u7684\u503c\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f46\u662f\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u65b9\u6cd5\u53c2\u6570\u4ee5\u4e0d\u540c\u7684\u65b9\u5f0f\u5904\u7406\u94fe\u63a5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>\u5e8f\u6570<\/strong>\u4f5c\u4e3a\u94fe\u63a5\u7ba1\u7406\u65b9\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\"><b><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> rankdata<\/b>\n\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array, method=' <span style=\"color: #ff0000;\">ordinal<\/span> ') - 1\n\n<span style=\"color: #008080;\">#view ranks\n<\/span><span style=\"color: #008000;\">print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u8fd9\u4f1a\u4ea7\u751f\u4e0e NumPy \u7684<strong>argsort()<\/strong>\u65b9\u6cd5\u76f8\u540c\u7684\u7ed3\u679c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5176\u4ed6\u94fe\u63a5\u7ba1\u7406\u65b9\u6cd5\u5305\u62ec<strong>\u6700\u5c0f<\/strong>\u3001<strong>\u6700\u5927<\/strong>\u548c<strong>\u5bc6\u96c6<\/strong>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e86\u89e3<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.rankdata.html\" target=\"_blank\" rel=\"noopener\">SciPy \u6587\u6863<\/a>\u4e2d\u7684\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\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-\u5220\u9664\u91cd\u590d\u9879\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4ece NumPy \u6570\u7ec4\u4e2d\u5220\u9664\u91cd\u590d\u5143\u7d20<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u6570\u7ec4\u8f6cint\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 NumPy \u6d6e\u70b9\u6570\u6570\u7ec4\u8f6c\u6362\u4e3a\u6574\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u77e9\u9635\u5230\u6570\u7ec4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 NumPy \u77e9\u9635\u8f6c\u6362\u4e3a\u6570\u7ec4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4efb\u610f\u65b9\u6cd5\u6765\u8ba1\u7b97 NumPy \u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u987a\u5e8f\uff1a \u65b9\u6cd5 1\uff1a\u4f7f\u7528 NumPy \u4e2d\u7684 argsort [&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-3839","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\u5bf9 NumPy \u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u6392\u5e8f\uff08\u5e26\u6709\u793a\u4f8b\uff09-Statorials<\/title>\n<meta name=\"description\" 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