{"id":1363,"date":"2023-07-26T17:05:19","date_gmt":"2023-07-26T17:05:19","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%9b%bc%e8%82%af%e5%be%b7%e5%b0%94%e6%b5%8b%e8%af%95python\/"},"modified":"2023-07-26T17:05:19","modified_gmt":"2023-07-26T17:05:19","slug":"%e6%9b%bc%e8%82%af%e5%be%b7%e5%b0%94%e6%b5%8b%e8%af%95python","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%9b%bc%e8%82%af%e5%be%b7%e5%b0%94%e6%b5%8b%e8%af%95python\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 python \u6267\u884c mann-kendall \u8d8b\u52bf\u68c0\u9a8c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c<\/strong>\u7528\u4e8e\u786e\u5b9a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u662f\u5426\u5b58\u5728\u8d8b\u52bf\u3002\u8fd9\u662f\u975e\u53c2\u6570\u68c0\u9a8c\uff0c\u610f\u5473\u7740\u4e0d\u5bf9\u6570\u636e\u7684\u6b63\u6001\u6027\u505a\u51fa\u4efb\u4f55\u57fa\u672c\u5047\u8bbe\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u68c0\u9a8c\u5047\u8bbe\u5982\u4e0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> \uff08\u96f6\u5047\u8bbe\uff09\uff1a<\/strong>\u6570\u636e\u4e2d\u4e0d\u5b58\u5728\u8d8b\u52bf\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> \uff08\u66ff\u4ee3\u5047\u8bbe\uff09\uff1a<\/strong>\u6570\u636e\u4e2d\u5b58\u5728\u8d8b\u52bf\u3002 \uff08\u8fd9\u53ef\u80fd\u662f\u79ef\u6781\u7684\u6216\u6d88\u6781\u7684\u8d8b\u52bf\uff09<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u68c0\u9a8c\u7684 p \u503c\u4f4e\u4e8e\u4e00\u5b9a\u7684\u663e\u7740\u6027\u6c34\u5e73\uff08\u5e38\u89c1\u9009\u62e9\u4e3a 0.10\u30010.05 \u548c 0.01\uff09\uff0c\u5219\u6709\u7edf\u8ba1\u663e\u7740\u6027\u8bc1\u636e\u8868\u660e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u5b58\u5728\u8d8b\u52bf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aPython \u4e2d\u7684 Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u8981\u5728 Python \u4e2d\u6267\u884c Mann-Kendall \u8d8b\u52bf\u6d4b\u8bd5\uff0c\u6211\u4eec\u5c06\u9996\u5148\u5b89\u88c5<a href=\"https:\/\/pypi.org\/project\/pymannkendall\/\" target=\"_blank\" rel=\"noopener\">pymannkendall<\/a>\u5305\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>pip <span style=\"color: #008000;\">install<\/span> pymannkendall<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e00\u65e6\u6211\u4eec\u5b89\u88c5\u4e86\u8fd9\u4e2a\u5305\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5bf9\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u96c6\u6267\u884c Mann-Kendall \u8d8b\u52bf\u6d4b\u8bd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dataset\n<\/span>data = [31, 29, 28, 28, 27, 26, 26, 27, 27, 27, 28, 29, 30, 29, 30, 29, 28]\n\n<span style=\"color: #008080;\">#perform Mann-Kendall Trend Test\n<\/span><span style=\"color: #008000;\">import<\/span> pymannkendall <span style=\"color: #008000;\">as<\/span> mk\n\nmk. <span style=\"color: #3366ff;\">original_test<\/span> (data)\n\nMann_Kendall_Test(trend='no trend', h=False, p=0.422586268671707,\n                  z=0.80194241623, Tau=0.147058823529, s=20.0,\n                  var_s=561.33333333, slope=0.0384615384615, intercept=27.692307692)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u6d4b\u8bd5\u7ed3\u679c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u8d8b\u52bf<\/strong>\uff1a\u8fd9\u8868\u660e\u8d8b\u52bf\u3002\u53ef\u80fd\u7684\u7ed3\u679c\u5305\u62ec\u589e\u52a0\u3001\u51cf\u5c11\u6216\u65e0\u8d8b\u52bf\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>h\uff1a<\/strong>\u5982\u679c\u5b58\u5728\u8d8b\u52bf\uff0c\u5219\u4e3a true\u3002\u5982\u679c\u4e0d\u5b58\u5728\u8d8b\u52bf\uff0c\u5219\u4e3a False\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>p\uff1a<\/strong>\u68c0\u9a8c\u7684 p \u503c\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>z\uff1a<\/strong>\u5f52\u4e00\u5316\u68c0\u9a8c\u7edf\u8ba1\u91cf\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5854\u4e4c\uff1a<\/strong>\u80af\u5fb7\u5c14\u00b7\u5854\u4e4c\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>s\uff1a<\/strong> Mann-Kendal \u5206\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>var_s\uff1a<\/strong>\u504f\u5deeS<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u659c\u7387\uff1a<\/strong> Theil-Sen\/\u659c\u7387\u4f30\u8ba1\u5668<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u62e6\u622a\uff1a<\/strong>\u62e6\u622a\u575a\u56fa\u7684\u80af\u5fb7\u5c14-\u6cf0\u5c14\u7ebf<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u611f\u5174\u8da3\u7684\u4e3b\u8981\u503c\u662f p \u503c\uff0c\u5b83\u544a\u8bc9\u6211\u4eec\u6570\u636e\u4e2d\u662f\u5426\u5b58\u5728\u7edf\u8ba1\u4e0a\u663e\u7740\u7684\u8d8b\u52bf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5728\u6b64\u793a\u4f8b\u4e2d\uff0cp \u503c\u4e3a<strong>0.4226<\/strong> \uff0c\u4e0d\u5c0f\u4e8e 0.05\u3002\u56e0\u6b64\uff0c\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e0d\u5b58\u5728\u663e\u7740\u8d8b\u52bf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9664\u4e86\u6267\u884c Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528 Matplotlib \u521b\u5efa\u5feb\u901f\u7ebf\u56fe\u6765\u53ef\u89c6\u5316\u5b9e\u9645\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\nplt. <span style=\"color: #3366ff;\">plot<\/span> (data)\n<\/strong><\/pre>\n<p>\u6b21<img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-13523 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannkendallpython1.png\" alt=\"\" width=\"384\" height=\"260\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u4ece\u56fe\u8868\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u6709\u70b9\u5206\u6563\uff0c\u8fd9\u8bc1\u5b9e\u4e86\u6570\u636e\u6ca1\u6709\u660e\u663e\u7684\u8d8b\u52bf\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\/matplotlib-\u65f6\u95f4\u5e8f\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u8fea\u57fa\u00b7\u5bcc\u52d2\u6d4b\u8bd5-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u589e\u5f3a\u7684 Dickey-Fuller \u6d4b\u8bd5<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u591a\u60c5\u8282\u7cfb\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4ece Pandas DataFrame \u7ed8\u5236\u591a\u4e2a\u7cfb\u5217<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c\u7528\u4e8e\u786e\u5b9a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u662f\u5426\u5b58\u5728\u8d8b\u52bf\u3002\u8fd9\u662f\u975e\u53c2\u6570\u68c0\u9a8c\uff0c\u610f\u5473\u7740\u4e0d\u5bf9\u6570\u636e\u7684\u6b63\u6001\u6027\u505a\u51fa [&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-1363","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 Python \u4e2d\u6267\u884c Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u8bf4\u660e\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c Mann-Kendall \u8d8b\u52bf\u68c0\u9a8c\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/\u66fc\u80af\u5fb7\u5c14\u6d4b\u8bd5python\/\" \/>\n<meta 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