{"id":1929,"date":"2023-07-24T10:08:46","date_gmt":"2023-07-24T10:08:46","guid":{"rendered":"https:\/\/statorials.org\/ko\/cdf-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-24T10:08:46","modified_gmt":"2023-07-24T10:08:46","slug":"cdf-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/cdf-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc5d0\uc11c cdf\ub97c \uacc4\uc0b0\ud558\uace0 \ud50c\ub86f\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c CDF(\ub204\uc801 \ubd84\ud3ec \ud568\uc218)\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#sortdata<\/span>\nx = np. <span style=\"color: #3366ff;\">sort<\/span> (data)\n\n<span style=\"color: #008080;\">#calculate CDF values\n<\/span>y = 1. * np. <span style=\"color: #3366ff;\">range<\/span> (len(data)) \/ (len(data) - 1)\n\n<span style=\"color: #008080;\">#plot CDF\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \ubb34\uc791\uc704 \ubd84\ud3ec CDF<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \uc784\uc758\uc758 \ub370\uc774\ud130 \uc0d8\ud50c\uc5d0 \ub300\ud55c \ub204\uc801 \ubd84\ud3ec \ud568\uc218(CDF)\ub97c \uacc4\uc0b0\ud558\uace0 \ud50c\ub86f\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <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 style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<\/span>#define random sample of data\n<span style=\"color: #000000;\">data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">rann<\/span> (10000)\n<\/span>\n#sortdata<\/span>\nx = np. <span style=\"color: #3366ff;\">sort<\/span> (data)\n\n<span style=\"color: #008080;\">#calculate CDF values\n<\/span>y = 1. * np. <span style=\"color: #3366ff;\">range<\/span> (len(data)) \/ (len(data) - 1)\n\n<span style=\"color: #008080;\">#plot CDF\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y)\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">x<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-18403 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cdfpython1.png\" alt=\"\" width=\"508\" height=\"400\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">x\ucd95\uc740 \uc6d0\uc2dc \ub370\uc774\ud130 \uac12\uc744 \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 \ud574\ub2f9 CDF \uac12\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \uc815\uaddc \ubd84\ud3ec CDF<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc54c\ub824\uc9c4 \ubd84\ud3ec(\uc608: \uc815\uaddc \ubd84\ud3ec )\uc758 \ub204\uc801 \ubd84\ud3ec \ud568\uc218\ub97c \ud50c\ub86f\ud558\ub824\uba74 <a href=\"https:\/\/www.scipy.org\/\" target=\"_blank\" rel=\"noopener\">SciPy<\/a> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c \ub2e4\uc74c \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <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 style=\"color: #008000;\">import<\/span> scipy\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt<\/span><span style=\"color: #000000;\">\n\n<span style=\"color: #008080;\">#generate data from normal distribution\n<\/span>data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">rann<\/span> (1000)\n\n<span style=\"color: #008080;\">#sortdata\n<\/span>x = np. <span style=\"color: #3366ff;\">sort<\/span> (data)\n\n<span style=\"color: #008080;\">#calculate CDF values\n<\/span>y = scipy. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">norm<\/span> . <span style=\"color: #3366ff;\">cdf<\/span> (x)\n\n<span style=\"color: #008080;\">#plot CDF\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (data_sorted, norm_cdf)\n\n<span style=\"color: #008080;\">#plot CDF\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y)\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">x<\/span> ')<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-18404 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cdfpython2.png\" alt=\"\" width=\"522\" height=\"408\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/cdf-\u1103\u1162-pdf\/\" target=\"_blank\" rel=\"noopener\">CDF \ub610\ub294 PDF: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1166\u11af-\u110f\u1165\u1107\u1173-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \uc885\ud615 \uace1\uc120\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/z-\u110c\u1165\u11b7\u1109\u116e-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c Z \uc810\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c CDF(\ub204\uc801 \ubd84\ud3ec \ud568\uc218)\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #sortdata x = np. sort (data) #calculate CDF values y = 1. * np. range (len(data)) \/ (len(data) &#8211; 1) #plot CDF plt. plot (x, y) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \ubb34\uc791\uc704 \ubd84\ud3ec CDF \ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \uc784\uc758\uc758 \ub370\uc774\ud130 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1929","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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