{"id":2912,"date":"2023-07-20T03:08:41","date_gmt":"2023-07-20T03:08:41","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a5%e1%84%8c%e1%85%b5-%e1%84%86%e1%85%a2%e1%84%8e%e1%85%b5%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5\/"},"modified":"2023-07-20T03:08:41","modified_gmt":"2023-07-20T03:08:41","slug":"%e1%84%91%e1%85%a5%e1%84%8c%e1%85%b5-%e1%84%86%e1%85%a2%e1%84%8e%e1%85%b5%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a5%e1%84%8c%e1%85%b5-%e1%84%86%e1%85%a2%e1%84%8e%e1%85%b5%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5\/","title":{"rendered":"Pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ubd88\uc644\uc804\ud558\uac8c \uc77c\uce58\ud558\ub294 \ubb38\uc790\uc5f4\uc744 \uae30\ubc18\uc73c\ub85c \ud32c\ub354\uc5d0\uc11c \ub450 \uac1c\uc758 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ud568\uaed8 \uacb0\ud569\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c <strong>\ud37c\uc9c0 \ub9e4\uce6d<\/strong> \uc774\ub77c\uace0 \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \uc218\ud589\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 <strong>difflib<\/strong> \ud328\ud0a4\uc9c0\uc758 <strong>get_close_matches()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\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: \ud32c\ub354\uc758 \ud37c\uc9c0 \ub300\uc751<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc591\ud55c \ub18d\uad6c\ud300\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/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;\">#create two DataFrames\n<\/span>df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavericks', 'Nets', 'Warriors', 'Heat', 'Lakers'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [99, 90, 104, 117, 100]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavricks', 'Warrors', 'Heat', 'Netts', 'Lakes'],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [22, 29, 17, 40, 32]})\n\n<span style=\"color: #008080;\">#view DataFrames\n<\/span><span style=\"color: #008000;\">print<\/span> (df1)\n\n        team points\n0 Mavericks 99\n1 Nets 90\n2 Warriors 104\n3 Heat 117\n4 Lakers 100\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n       team assists\n0 Mavricks 22\n1 Warriors 29\n2 Heat 17\n3 Netts 40\n4 Lakes 32<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\uc81c <strong>Team<\/strong> \uc5f4\uc744 \uae30\ubc18\uc73c\ub85c \ub450 \uac1c\uc758 DataFrame\uc744 \ubcd1\ud569\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 DataFrame\uc758 \ud300 \uc774\ub984\uc774 \uc57d\uac04 \ub2e4\ub974\uae30 \ub54c\ubb38\uc5d0 \uac00\uc7a5 \uc77c\uce58\ud558\ub294 \ud300 \uc774\ub984\uc744 \ucc3e\uc73c\ub824\uba74 \ud37c\uc9c0 \ub9e4\uce6d\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>difflib<\/strong> \ud328\ud0a4\uc9c0\uc758 <strong>get_close_matches()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> difflib \n\n<span style=\"color: #008080;\">#create duplicate column to retain team name from df2\n<\/span>df2[' <span style=\"color: #ff0000;\">team_match<\/span> '] = df2[' <span style=\"color: #ff0000;\">team<\/span> ']\n\n<span style=\"color: #008080;\">#convert team name in df2 to team name it most closely matches in df1\n<\/span>df2[' <span style=\"color: #ff0000;\">team<\/span> '] = df2[' <span style=\"color: #ff0000;\">team<\/span> ']. <span style=\"color: #3366ff;\">apply<\/span> (lambda x: difflib. <span style=\"color: #3366ff;\">get_close_matches<\/span> (x, df1[' <span style=\"color: #ff0000;\">team<\/span> '])[ <span style=\"color: #008000;\">0<\/span> ])\n\n<span style=\"color: #008080;\">#merge the DataFrames into one<\/span>\ndf3 = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2)\n\n<span style=\"color: #008080;\">#view final DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df3)\n\n        team points assists team_match\n0 Mavericks 99 22 Mavricks\n1 Nets 90 40 Nets\n2 Warriors 104 29 Warriors\n3 Heat 117 17 Heat\n4 Lakers 100 32 Lakes<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub294 \uccab \ubc88\uc9f8 DataFrame\uc758 5\uac1c \ud300 \uc774\ub984 \uac01\uac01\uacfc \ub450 \ubc88\uc9f8 DataFrame\uacfc \uac00\uc7a5 \ubc00\uc811\ud558\uac8c \uc77c\uce58\ud558\ub294 \ud300\uc744 \ud3ec\ud568\ud558\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>team_match<\/strong> \uc5f4\uc5d0\ub294 \uccab \ubc88\uc9f8 DataFrame\uc758 \ud300 \uc774\ub984\uacfc \uac00\uc7a5 \uadfc\uc811\ud558\uac8c \uc77c\uce58\ud558\ub294 \ub450 \ubc88\uc9f8 DataFrame\uc758 \ud300 \uc774\ub984\uc774 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0 #1<\/strong> : \uae30\ubcf8\uc801\uc73c\ub85c <strong>get_close_matches()\ub294<\/strong> \uac00\uc7a5 \uac00\uae4c\uc6b4 \uc77c\uce58 \ud56d\ubaa9 3\uac1c\ub97c \ubc18\ud658\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub78c\ub2e4 \ud568\uc218 \ub05d\uc5d0 <strong>[0]\uc744<\/strong> \uc0ac\uc6a9\ud558\uba74 \uac00\uc7a5 \uac00\uae4c\uc6b4 \ud300 \uc774\ub984 \uc77c\uce58\ub9cc \ubc18\ud658\ud560 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0 #2:<\/strong> <strong>get_close_matches()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub294 <a href=\"https:\/\/docs.python.org\/3\/library\/difflib.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\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\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u1105\u1165-\u110b\u1167\u11af\u110b\u1173\u11af-\u1107\u1167\u11bc\u1112\u1161\u11b8\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">\uc5ec\ub7ec \uc5f4\uc5d0 \uac78\uccd0 Pandas DataFrame\uc744 \ubcd1\ud569\ud558\ub294 \ubc29\ubc95<\/a><br \/> \uc778\ub371\uc2a4\uc5d0 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ubcd1\ud569\ud558\ub294 \ubc29\ubc95<br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u110c\u1169\u110b\u1175\u11ab\u1100\u116a-\u1107\u1167\u11bc\u1112\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener\">Pandas \uc870\uc778 \ub610\ub294 \ubcd1\ud569: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubd88\uc644\uc804\ud558\uac8c \uc77c\uce58\ud558\ub294 \ubb38\uc790\uc5f4\uc744 \uae30\ubc18\uc73c\ub85c \ud32c\ub354\uc5d0\uc11c \ub450 \uac1c\uc758 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ud568\uaed8 \uacb0\ud569\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud37c\uc9c0 \ub9e4\uce6d \uc774\ub77c\uace0 \ud569\ub2c8\ub2e4. pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \uc218\ud589\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 difflib \ud328\ud0a4\uc9c0\uc758 get_close_matches() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: \ud32c\ub354\uc758 \ud37c\uc9c0 \ub300\uc751 \ub2e4\uc591\ud55c \ub18d\uad6c\ud300\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 [&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-2912","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>Pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \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 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1165\u110c\u1175-\u1106\u1162\u110e\u1175\u11bc-\u1111\u1162\u11ab\u1103\u1165\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas\uc5d0\uc11c \ud37c\uc9c0 \uc77c\uce58\ub97c 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