{"id":3445,"date":"2023-07-17T10:47:40","date_gmt":"2023-07-17T10:47:40","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6%e1%86%af-%e1%84%8f%e1%85%a9%e1%84%83%e1%85%b5%e1%86%bc%e1%84%92\/"},"modified":"2023-07-17T10:47:40","modified_gmt":"2023-07-17T10:47:40","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6%e1%86%af-%e1%84%8f%e1%85%a9%e1%84%83%e1%85%b5%e1%86%bc%e1%84%92","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6%e1%86%af-%e1%84%8f%e1%85%a9%e1%84%83%e1%85%b5%e1%86%bc%e1%84%92\/","title":{"rendered":"Python\uc5d0\uc11c \ub77c\ubca8 \uc778\ucf54\ub529\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc885\uc885 \uae30\uacc4 \ud559\uc2b5\uc5d0\uc11c\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1165\u11b7\u110c\u116e\u1112\u1167\u11bc-\u1103\u1162-\u110b\u1163\u11bc\u110c\u1165\u11a8\/\" target=\"_blank\" rel=\"noopener\">\ubc94\uc8fc\ud615 \ubcc0\uc218\ub97c<\/a> \uc54c\uace0\ub9ac\uc998\uc5d0\uc11c \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc22b\uc790 \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub824\uace0 \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> \uc774\ub97c \uc218\ud589\ud558\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 <span style=\"color: #000000;\">\uac01 \ubc94\uc8fc\ud615 \uac12\uc5d0 \uc54c\ud30c\ubcb3 \uc21c\uc11c\uc5d0 \ub530\ub77c \uc815\uc218 \uac12\uc744 \ud560\ub2f9\ud558\ub294<\/span> <span style=\"color: #000000;\"><strong>\ub808\uc774\ube14 \uc778\ucf54\ub529\uc744<\/strong> \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4<\/span> .<\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \uc2a4\ud06c\ub9b0\uc0f7\uc5d0\uc11c\ub294 <strong>Team<\/strong> \uc774\ub77c\ub294 \ubc94\uc8fc\ud615 \ubcc0\uc218\uc758 \uac01 \uace0\uc720 \uac12\uc744 \uc54c\ud30c\ubcb3 \uc21c\uc11c\uc5d0 \ub530\ub77c \uc815\uc218 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-28801 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/labelencode2-1.jpg\" alt=\"\" width=\"467\" height=\"288\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub808\uc774\ube14 \uc778\ucf54\ub529\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">preprocessing<\/span> <span style=\"color: #008000;\">import<\/span> LabelEncoder\n\n<span style=\"color: #008080;\">#create instance of label encoder\n<\/span>lab = LabelEncoder()\n\n<span style=\"color: #008080;\">#perform label encoding on 'team' column\n<\/span>df[' <span style=\"color: #ff0000;\">my_column<\/span> '] = lab. <span style=\"color: #3366ff;\">fit_transform<\/span> (df[' <span style=\"color: #ff0000;\">my_column<\/span> '])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: Python\uc758 \ub808\uc774\ube14 \uc778\ucf54\ub529<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points\n0 to 25\n1 to 12\n2 B 15\n3 B 14\n4 B 19\n5 B 23\n6 C 25\n7 C 29<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub808\uc774\ube14 \uc778\ucf54\ub529\uc744 \uc218\ud589\ud558\uc5ec <strong>\ud300<\/strong> \uc5f4\uc758 \uac01 \ubc94\uc8fc \uac12\uc744 \uc815\uc218 \uac12\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">preprocessing<\/span> <span style=\"color: #008000;\">import<\/span> LabelEncoder\n\n<span style=\"color: #008080;\">#create instance of label encoder\n<\/span>lab = LabelEncoder()\n\n<span style=\"color: #008080;\">#perform label encoding on 'team' column\n<\/span>df[' <span style=\"color: #ff0000;\">team<\/span> '] = lab. <span style=\"color: #3366ff;\">fit_transform<\/span> (df[' <span style=\"color: #ff0000;\">team<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n   team points\n0 0 25\n1 0 12\n2 1 15\n3 1 14\n4 1 19\n5 1 23\n6 2 25\n7 2 29\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uac01 &#8220;A&#8221; \uac12\uc740 <strong>0<\/strong> \uc73c\ub85c \ubcc0\ud658\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 &#8220;B&#8221; \uac12\uc740 <strong>1<\/strong> \ub85c \ubcc0\ud658\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 &#8220;C&#8221; \uac12\uc740 <strong>2<\/strong> \ub85c \ubcc0\ud658\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>inverse_transform()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>\ud300<\/strong> \uc5f4\uc758 \uc6d0\ub798 \uac12\uc744 \uac00\uc838\uc62c \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#display original team labels\n<\/span>lab. <span style=\"color: #3366ff;\">inverse_transform<\/span> (df[' <span style=\"color: #ff0000;\">team<\/span> '])\n\narray(['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'], dtype=object)\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1165\u11b7\u110c\u116e\u1112\u1167\u11bc-\u1107\u1167\u11ab\u1109\u116e\u1105\u1173\u11af-\u1103\u1175\u110c\u1175\u1110\u1165\u11af-\u1111\u1162\u11ab\u1103\u1165\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubc94\uc8fc\ud615 \ubcc0\uc218\ub97c \uc22b\uc790\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1107\u116e\u110b\u116e\u11af\u110b\u1173\u11af-\u110c\u1165\u11bc\u1109\u116e\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubd80\uc6b8 \uac12\uc744 \uc815\uc218 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u110b\u116d\u1109\u1169\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c Factorize()\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\uc744 \uc22b\uc790\ub85c \uc778\ucf54\ub529\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc885\uc885 \uae30\uacc4 \ud559\uc2b5\uc5d0\uc11c\ub294 \ubc94\uc8fc\ud615 \ubcc0\uc218\ub97c \uc54c\uace0\ub9ac\uc998\uc5d0\uc11c \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc22b\uc790 \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub824\uace0 \ud569\ub2c8\ub2e4. \uc774\ub97c \uc218\ud589\ud558\ub294 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc740 \uac01 \ubc94\uc8fc\ud615 \uac12\uc5d0 \uc54c\ud30c\ubcb3 \uc21c\uc11c\uc5d0 \ub530\ub77c \uc815\uc218 \uac12\uc744 \ud560\ub2f9\ud558\ub294 \ub808\uc774\ube14 \uc778\ucf54\ub529\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4 . \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \uc2a4\ud06c\ub9b0\uc0f7\uc5d0\uc11c\ub294 Team \uc774\ub77c\ub294 \ubc94\uc8fc\ud615 \ubcc0\uc218\uc758 \uac01 \uace0\uc720 \uac12\uc744 \uc54c\ud30c\ubcb3 \uc21c\uc11c\uc5d0 \ub530\ub77c \uc815\uc218 \uac12\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec [&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-3445","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 \ub77c\ubca8 \uc778\ucf54\ub529\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ub77c\ubca8 \ucf54\ub529\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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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Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ko\/#website\"},\"datePublished\":\"2023-07-17T10:47:40+00:00\",\"dateModified\":\"2023-07-17T10:47:40+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ko\/#\/schema\/person\/600556789b7d79cbaa9d9f0c721b74f4\"},\"description\":\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ub77c\ubca8 \ucf54\ub529\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 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