{"id":2353,"date":"2023-07-22T15:28:02","date_gmt":"2023-07-22T15:28:02","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%a6%e1%84%89%e1%85%a5-rbind\/"},"modified":"2023-07-22T15:28:02","modified_gmt":"2023-07-22T15:28:02","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%a6%e1%84%89%e1%85%a5-rbind","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%a6%e1%84%89%e1%85%a5-rbind\/","title":{"rendered":"Python\uc5d0\uc11c rbind\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(r\uacfc \ub3d9\uc77c)"},"content":{"rendered":"

<\/p>\n

\n

row-bind<\/em> \uc758 \uc57d\uc790\uc778 R\uc758 rbind<\/strong> \ud568\uc218\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud589\ubcc4\ub85c \uacb0\ud569\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

pandas concat()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub3d9\uc77c\ud55c \uae30\ub2a5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df3 = pd. concat<\/span> ([df1, df2])\n<\/strong><\/pre>\n
 \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
 \uc608\uc81c 1: \ub3d9\uc77c\ud55c \uc5f4\uc774 \uc788\ub294 Python\uc5d0\uc11c rbind \uc0ac\uc6a9<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrames\ndf1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' points<\/span> ': [99, 91, 104, 88, 108]})\n\nprint<\/span> (df1)\n\n  team points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n\ndf2 = pd. DataFrame<\/span> ({' assists<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' rebounds<\/span> ': [91, 88, 85, 87, 95]})\n\nprint<\/span> (df2)\n\n  team points\n0 F 91\n1 G 88\n2:85\n3 I 87\n4 days 95\n<\/span><\/span><\/strong><\/pre>\n
 concat()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \ub450 DataFrame\uc744 \uc904\ub85c \ube60\ub974\uac8c \uc5f0\uacb0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #row-bind two DataFrames\ndf3 = pd. concat<\/span> ([df1, df2])\n\n#view resulting DataFrame\n<\/span>df3\n\n\tteam points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n0 F 91\n1 G 88\n2:85\n3 I 87\n4 days 95\n<\/span><\/span><\/strong><\/pre>\n
 Reset_index()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc0c8 DataFrame\uc758 \uc778\ub371\uc2a4 \uac12\uc744 \uc7ac\uc124\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #row-bind two DataFrames and reset index values\ndf3 = pd. concat<\/span> ([df1, df2]). reset_index<\/span> (drop= True<\/span> )\n\n#view resulting DataFrame\n<\/span>df3\n\n\tteam points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n5 F 91\n6 G 88\n7:85 a.m.\n8 I 87\n9 D 95<\/span><\/span><\/strong><\/pre>\n
 \uc608\uc81c 2: \uc5f4\uc774 \uac19\uc9c0 \uc54a\uc740 Python\uc5d0\uc11c rbind \uc0ac\uc6a9<\/strong><\/span><\/h3>\n
 \ub610\ud55c concat()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5f4 \uc218\uac00 \ub2e4\ub978 \ub450 DataFrame\uc744 \uc5f0\uacb0\ud560 \uc218 \uc788\uc73c\uba70 \ub204\ub77d\ub41c \uac12\uc740 \ub2e8\uc21c\ud788 NaN\uc73c\ub85c \ucc44\uc6cc\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrames\ndf1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' points<\/span> ': [99, 91, 104, 88, 108]})\n\ndf2 = pd. DataFrame<\/span> ({' team<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' points<\/span> ': [91, 88, 85, 87, 95],\n                    ' rebounds<\/span> ': [24, 27, 27, 30, 35]})<\/span>\n\n#row-bind two DataFrames\ndf3 = pd. concat<\/span> ([df1, df2]). reset_index<\/span> (drop= True<\/span> )\n<\/span>\n#view resulting DataFrame\ndf3\n\n\tteam points rebounds\n0 to 99 NaN\n1 B 91 NaN\n2 C 104 NaN\n3 D 88 NaN\n4 E 108 NaN\n5 F 91 24.0\n6G 88 27.0\n7:85 AM 27.0\n8 I 87 30.0\n9 D 95 35.0<\/span><\/span><\/strong><\/pre>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uae30\ub2a5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Python\uc5d0\uc11c cbind\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(R\uacfc \ub3d9\uc77c)<\/a>
 Pandas\uc5d0\uc11c VLOOKUP\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \ud2b9\uc815 \uac12\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
row-bind \uc758 \uc57d\uc790\uc778 R\uc758 rbind \ud568\uc218\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud589\ubcc4\ub85c \uacb0\ud569\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. pandas concat() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub3d9\uc77c\ud55c \uae30\ub2a5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df3 = pd. concat ([df1, df2]) \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\uc81c 1: \ub3d9\uc77c\ud55c \uc5f4\uc774 \uc788\ub294 Python\uc5d0\uc11c rbind \uc0ac\uc6a9 \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import […]<\/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-2353","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c rbind\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(R\uacfc \ub3d9\uc77c) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub450 \uac1c\uc758 DataFrame\uc744 \ud568\uaed8 \ubc14\uc778\ub529\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc774\ub294 R\uc5d0\uc11c rbind \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uacfc \ub3d9\uc77c\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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