{"id":2240,"date":"2023-07-23T03:04:58","date_gmt":"2023-07-23T03:04:58","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%9c%a8python%e4%b8%ad%e8%bd%ac%e6%8d%a2%e6%95%b0%e6%8d%ae\/"},"modified":"2023-07-23T03:04:58","modified_gmt":"2023-07-23T03:04:58","slug":"%e5%9c%a8python%e4%b8%ad%e8%bd%ac%e6%8d%a2%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%9c%a8python%e4%b8%ad%e8%bd%ac%e6%8d%a2%e6%95%b0%e6%8d%ae\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u8f6c\u6362\u6570\u636e\uff08\u5bf9\u6570\u3001\u5e73\u65b9\u6839\u3001\u7acb\u65b9\u6839\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u8bb8\u591a\u7edf\u8ba1\u6d4b\u8bd5\u5047\u8bbe\u6570\u636e\u96c6\u5448\u6b63\u6001\u5206\u5e03\u3002\u7136\u800c\uff0c\u5b9e\u9645\u60c5\u51b5\u5f80\u5f80\u5e76\u975e\u5982\u6b64\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u89e3\u51b3\u6b64\u95ee\u9898\u7684\u4e00\u79cd\u65b9\u6cd5\u662f\u4f7f\u7528\u4ee5\u4e0b\u4e09\u79cd\u53d8\u6362\u4e4b\u4e00\u6765\u53d8\u6362\u6570\u636e\u96c6\u4e2d\u503c\u7684\u5206\u5e03\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u5bf9\u6570\u53d8\u6362\uff1a<\/strong>\u5c06\u54cd\u5e94\u53d8\u91cf\u4ece y \u53d8\u6362\u4e3a<strong>log(y)<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \u5e73\u65b9\u6839\u53d8\u6362\uff1a<\/strong>\u5c06\u54cd\u5e94\u53d8\u91cf\u4ece y \u53d8\u6362\u4e3a<strong><span style=\"text-decoration: overline;\">\u221ay<\/span><\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3. \u7acb\u65b9\u6839\u53d8\u6362\uff1a<\/strong>\u5c06\u54cd\u5e94\u53d8\u91cf\u4ece y \u53d8\u6362\u4e3a<strong>y <sup>1\/3<\/sup><\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u901a\u8fc7\u6267\u884c\u8fd9\u4e9b\u8f6c\u6362\uff0c\u6570\u636e\u96c6\u901a\u5e38\u53d8\u5f97\u66f4\u52a0\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u8fd9\u4e9b\u8f6c\u6362\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u4e2d\u7684\u65e5\u5fd7\u8f6c\u6362<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u5982\u4f55\u5bf9\u53d8\u91cf\u6267\u884c\u5bf9<strong>\u6570\u53d8\u6362<\/strong>\u5e76\u521b\u5efa\u5e76\u6392\u56fe\u6765\u663e\u793a\u6570\u636e\u7684\u539f\u59cb\u5206\u5e03\u548c\u5bf9\u6570\u53d8\u6362\u5206\u5e03\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<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create beta distributed random variable with 200 values\n<\/span>data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">beta<\/span> (a= <span style=\"color: #008000;\">4<\/span> , b= <span style=\"color: #008000;\">15<\/span> , size= <span style=\"color: #008000;\">300<\/span> )\n\n<span style=\"color: #008080;\">#create log-transformed data\n<\/span>data_log = np. <span style=\"color: #3366ff;\">log<\/span> (data)\n\n<span style=\"color: #008080;\">#define grid of plots\n<\/span>fig, axs = plt. <span style=\"color: #3366ff;\">subplots<\/span> (nrows= <span style=\"color: #008000;\">1<\/span> , ncols= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#create histograms\n<\/span>axs[0]. <span style=\"color: #3366ff;\">hist<\/span> (data, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\naxs[1]. <span style=\"color: #3366ff;\">hist<\/span> (data_log, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\n\n<span style=\"color: #008080;\">#add title to each histogram\n<\/span>axs[0]. <span style=\"color: #3366ff;\">set_title<\/span> (' <span style=\"color: #ff0000;\">Original Data<\/span> ')\naxs[1].set_title(' <span style=\"color: #ff0000;\">Log-Transformed Data<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20488 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/trans11.png\" alt=\"\" width=\"550\" height=\"384\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\u5bf9\u6570\u53d8\u6362\u540e\u7684\u5206\u5e03\u6bd4\u539f\u59cb\u5206\u5e03\u66f4\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5b83\u4ecd\u7136\u4e0d\u662f\u5b8c\u7f8e\u7684\u201c\u949f\u5f62\u201d\uff0c\u4f46\u5b83\u6bd4\u539f\u59cb\u5206\u5e03\u66f4\u63a5\u8fd1\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u4e2d\u7684\u5e73\u65b9\u6839\u53d8\u6362<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u5982\u4f55\u5bf9\u53d8\u91cf\u6267\u884c<strong>\u5e73\u65b9\u6839\u53d8\u6362<\/strong>\u5e76\u521b\u5efa\u5e76\u6392\u56fe\u6765\u663e\u793a\u6570\u636e\u7684\u539f\u59cb\u5206\u5e03\u548c\u5e73\u65b9\u6839\u53d8\u6362\u540e\u7684\u5206\u5e03\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<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create beta distributed random variable with 200 values\n<\/span>data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">beta<\/span> (a= <span style=\"color: #008000;\">1<\/span> , b= <span style=\"color: #008000;\">5<\/span> , size= <span style=\"color: #008000;\">300<\/span> )\n\n<span style=\"color: #008080;\">#create log-transformed data\n<\/span>data_log = np. <span style=\"color: #3366ff;\">sqrt<\/span> (data)\n\n<span style=\"color: #008080;\">#define grid of plots\n<\/span>fig, axs = plt. <span style=\"color: #3366ff;\">subplots<\/span> (nrows= <span style=\"color: #008000;\">1<\/span> , ncols= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#create histograms\n<\/span>axs[0]. <span style=\"color: #3366ff;\">hist<\/span> (data, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\naxs[1]. <span style=\"color: #3366ff;\">hist<\/span> (data_log, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\n\n<span style=\"color: #008080;\">#add title to each histogram\n<\/span>axs[0]. <span style=\"color: #3366ff;\">set_title<\/span> (' <span style=\"color: #ff0000;\">Original Data<\/span> ')\naxs[1].set_title(' <span style=\"color: #ff0000;\">Square Root Transformed Data<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20490 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/trans12.png\" alt=\"\" width=\"555\" height=\"379\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\u5e73\u65b9\u6839\u53d8\u6362\u540e\u7684\u6570\u636e\u6bd4\u539f\u59cb\u6570\u636e\u66f4\u5448\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u4e2d\u7684\u7acb\u65b9\u6839\u53d8\u6362<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u5982\u4f55\u5bf9\u53d8\u91cf\u6267\u884c<strong>\u7acb\u65b9\u6839\u53d8\u6362<\/strong>\u5e76\u521b\u5efa\u5e76\u6392\u56fe\u6765\u663e\u793a\u6570\u636e\u7684\u539f\u59cb\u5206\u5e03\u548c\u7acb\u65b9\u6839\u53d8\u6362\u5206\u5e03\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<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create beta distributed random variable with 200 values\n<\/span>data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">beta<\/span> (a= <span style=\"color: #008000;\">1<\/span> , b= <span style=\"color: #008000;\">5<\/span> , size= <span style=\"color: #008000;\">300<\/span> )\n\n<span style=\"color: #008080;\">#create log-transformed data\n<\/span>data_log = np. <span style=\"color: #3366ff;\">cbrt<\/span> (data)\n\n<span style=\"color: #008080;\">#define grid of plots\n<\/span>fig, axs = plt. <span style=\"color: #3366ff;\">subplots<\/span> (nrows= <span style=\"color: #008000;\">1<\/span> , ncols= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#create histograms\n<\/span>axs[0]. <span style=\"color: #3366ff;\">hist<\/span> (data, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\naxs[1]. <span style=\"color: #3366ff;\">hist<\/span> (data_log, edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\n\n<span style=\"color: #008080;\">#add title to each histogram\n<\/span>axs[0]. <span style=\"color: #3366ff;\">set_title<\/span> (' <span style=\"color: #ff0000;\">Original Data<\/span> ')\naxs[1].set_title(' <span style=\"color: #ff0000;\">Cube Root Transformed Data<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20491 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/trans13.png\" alt=\"\" width=\"540\" height=\"370\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\u7acb\u65b9\u6839\u53d8\u6362\u540e\u7684\u6570\u636e\u6bd4\u539f\u59cb\u6570\u636e\u66f4\u52a0\u6b63\u6001\u5206\u5e03\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\/z-\u5206\u6570-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97 Z \u5206\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5728python\u4e2d\u89c4\u8303\u5316\u6570\u636e\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6807\u51c6\u5316\u6570\u636e<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6b63\u6001\u5047\u8bbe\/\" target=\"_blank\" rel=\"noopener\">\u7edf\u8ba1\u5b66\u4e2d\u7684\u6b63\u6001\u6027\u5047\u8bbe\u662f\u4ec0\u4e48\uff1f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bb8\u591a\u7edf\u8ba1\u6d4b\u8bd5\u5047\u8bbe\u6570\u636e\u96c6\u5448\u6b63\u6001\u5206\u5e03\u3002\u7136\u800c\uff0c\u5b9e\u9645\u60c5\u51b5\u5f80\u5f80\u5e76\u975e\u5982\u6b64\u3002 \u89e3\u51b3\u6b64\u95ee\u9898\u7684\u4e00\u79cd\u65b9\u6cd5\u662f\u4f7f\u7528\u4ee5\u4e0b\u4e09\u79cd\u53d8\u6362\u4e4b\u4e00\u6765\u53d8 [&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-2240","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\u8f6c\u6362\u6570\u636e\uff08\u5bf9\u6570\u3001\u5e73\u65b9\u6839\u3001\u7acb\u65b9\u6839\uff09 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u5e38\u89c1\u7684\u6570\u636e\u8f6c\u6362\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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