{"id":876,"date":"2023-07-28T11:11:00","date_gmt":"2023-07-28T11:11:00","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8c%e1%85%a1%e1%84%80%e1%85%b5%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-28T11:11:00","modified_gmt":"2023-07-28T11:11:00","slug":"%e1%84%8c%e1%85%a1%e1%84%80%e1%85%b5%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%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\/%e1%84%8c%e1%85%a1%e1%84%80%e1%85%b5%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%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 \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc790\uae30 \uc0c1\uad00\uc740<\/strong> \uc5f0\uc18d\uc801\uc778 \uc2dc\uac04 \uac04\uaca9\uc5d0 \uac78\uccd0 \uc2dc\uacc4\uc5f4\uacfc \uc9c0\uc5f0\ub41c \ubc84\uc804 \uac04\uc758 \uc720\uc0ac\uc131 \uc815\ub3c4\ub97c \uce21\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubcc0\uc218\uc758 \ud604\uc7ac \uac12\uacfc \uacfc\uac70 \uac12 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uce21\uc815\ud558\uae30 \ub54c\ubb38\uc5d0 &#8220;\uacc4\uc5f4 \uc0c1\uad00&#8221; \ub610\ub294 &#8220;\uc9c0\uc5f0 \uc0c1\uad00&#8221;\uc774\ub77c\uace0\ub3c4 \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc2dc\uacc4\uc5f4\uc758 \uc790\uae30\uc0c1\uad00\uad00\uacc4\uac00 \ub192\uc73c\uba74 \uacfc\uac70 \uac12\uc744 \ucc38\uace0\ud558\ub294 \uac83\ub9cc\uc73c\ub85c\ub3c4 \ubbf8\ub798 \uac12\uc744 \uc608\uce21\ud558\uae30 \uc26c\uc6cc\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong>Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">15\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \uae30\uac04\uc5d0 \ub300\ud55c \ud2b9\uc815 \ubcc0\uc218\uc758 \uac12\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 Python \uc2dc\uacc4\uc5f4\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data<\/span>\nx = [22, 24, 25, 25, 28, 29, 34, 37, 40, 44, 51, 48, 47, 50, 51]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.tsa.stattools.acf.html\" target=\"_blank\" rel=\"noopener noreferrer\">acf() \ud568\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uacc4\uc5f4\uc758 \uac01 \uc9c0\uc5f0\uc5d0 \ub300\ud55c \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> statsmodels.api <span style=\"color: #107d3f;\">as<\/span> sm\n\n<span style=\"color: #008080;\">#calculate autocorrelations<\/span>\nsm.tsa.acf(x)\n\narray([ 1. , 0.83174224, 0.65632458, 0.49105012, 0.27863962,\n        0.03102625, -0.16527446, -0.30369928, -0.40095465, -0.45823389,\n       -0.45047733])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc2dc\ucc28 0\uc5d0\uc11c\uc758 \uc790\uae30\uc0c1\uad00\uc740 <strong>1<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc2dc\ucc28 1\uc758 \uc790\uae30\uc0c1\uad00\uc740 <strong>0.8317<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc2dc\ucc28 2\uc5d0\uc11c\uc758 \uc790\uae30\uc0c1\uad00\uc740 <strong>0.6563<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc2dc\ucc28 3\uc758 \uc790\uae30\uc0c1\uad00\uc740 <strong>0.4910<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub4f1\ub4f1.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>nlags<\/strong> \uc778\uc218\uc640 \ud568\uaed8 \uc0ac\uc6a9\ud560 \uc9c0\uc5f0 \uc218\ub97c \uc9c0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sm.tsa.acf(x, nlags= <span style=\"color: #008000;\">5<\/span> )\n\narray([1.0, 0.83174224, 0.65632458, 0.49105012, 0.27863962, 0.03102625])<\/strong><\/pre>\n<h3> <strong>Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00 \ud568\uc218\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/www.statsmodels.org\/dev\/generated\/statsmodels.graphics.tsaplots.plot_acf.html\" target=\"_blank\" rel=\"noopener noreferrer\">tsaplots.plot_acf() \ud568\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc5d0 \ub300\ud55c \uc790\uae30\uc0c1\uad00 \ud568\uc218\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags=10)\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9480 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython1.png\" alt=\"Python\uc758 \uc790\uae30\uc0c1\uad00 \ud568\uc218\" width=\"495\" height=\"343\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">x\ucd95\uc740 \uc2dc\ucc28 \uc218\ub97c \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 \ud574\ub2f9 \uc2dc\ucc28 \uc218\uc5d0 \ub300\ud55c \uc790\uae30\uc0c1\uad00\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c \ud50c\ub86f\uc740 \uc2dc\ucc28 = 0\uc5d0\uc11c \uc2dc\uc791\ud558\uace0 \uc790\uae30 \uc0c1\uad00\uc740 \uc2dc\ucc28 = 0\uc5d0\uc11c \ud56d\uc0c1 <strong>1<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>lags<\/strong> \uc778\uc218\ub85c \ub354 \uc801\uc740 \uc218\uc758 \uc9c0\uc5f0\uc744 \uc0ac\uc6a9\ud558\ub3c4\ub85d \uc120\ud0dd\ud558\uc5ec \uccab \ubc88\uc9f8 \uc9c0\uc5f0\uc744 \ud655\ub300\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags= <span style=\"color: #008000;\">5<\/span> )\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9481 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython2.png\" alt=\"Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00 \ud568\uc218 \ud50c\ub85c\ud305\ud558\uae30\" width=\"495\" height=\"329\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">title \ubc0f <strong>color<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uc0ac\uc6a9\ub41c \uc6d0\uc758 <strong>\uc81c\ubaa9<\/strong> \uacfc \uc0c9\uc0c1\uc744 \ubcc0\uacbd\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags= <span style=\"color: #008000;\"><span style=\"color: #000000;\">5, color='g', title='Autocorrelation function'<\/span><\/span> <span style=\"color: #000000;\">)<\/span>\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9482 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython4.png\" alt=\"\uc0ac\uc6a9\uc790 \uc815\uc758 \uc81c\ubaa9\uc774 \uc788\ub294 Python\uc758 \uc790\uae30\uc0c1\uad00 \ud568\uc218\" width=\"499\" height=\"342\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><em><a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc774 \ud398\uc774\uc9c0<\/a> \uc5d0\uc11c \ub354 \ub9ce\uc740 Python \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uae30 \uc0c1\uad00\uc740 \uc5f0\uc18d\uc801\uc778 \uc2dc\uac04 \uac04\uaca9\uc5d0 \uac78\uccd0 \uc2dc\uacc4\uc5f4\uacfc \uc9c0\uc5f0\ub41c \ubc84\uc804 \uac04\uc758 \uc720\uc0ac\uc131 \uc815\ub3c4\ub97c \uce21\uc815\ud569\ub2c8\ub2e4. \ubcc0\uc218\uc758 \ud604\uc7ac \uac12\uacfc \uacfc\uac70 \uac12 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uce21\uc815\ud558\uae30 \ub54c\ubb38\uc5d0 &#8220;\uacc4\uc5f4 \uc0c1\uad00&#8221; \ub610\ub294 &#8220;\uc9c0\uc5f0 \uc0c1\uad00&#8221;\uc774\ub77c\uace0\ub3c4 \ud569\ub2c8\ub2e4. \uc2dc\uacc4\uc5f4\uc758 \uc790\uae30\uc0c1\uad00\uad00\uacc4\uac00 \ub192\uc73c\uba74 \uacfc\uac70 \uac12\uc744 \ucc38\uace0\ud558\ub294 \uac83\ub9cc\uc73c\ub85c\ub3c4 \ubbf8\ub798 \uac12\uc744 \uc608\uce21\ud558\uae30 \uc26c\uc6cc\uc9d1\ub2c8\ub2e4. Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 15\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \uae30\uac04\uc5d0 \ub300\ud55c \ud2b9\uc815 \ubcc0\uc218\uc758 \uac12\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 Python [&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-876","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00 \ud568\uc218\ub97c \uacc4\uc0b0\ud558\uace0 \ud50c\ub86f\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\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\/ko\/\u110c\u1161\u1100\u1175\u1109\u1161\u11bc\u1100\u116a\u11ab-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \uc790\uae30\uc0c1\uad00\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - 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