{"id":4207,"date":"2023-07-12T20:21:46","date_gmt":"2023-07-12T20:21:46","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%bc%e1%84%8e%e1%85%a5%e1%86%b8-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6\/"},"modified":"2023-07-12T20:21:46","modified_gmt":"2023-07-12T20:21:46","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%bc%e1%84%8e%e1%85%a5%e1%86%b8-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%bc%e1%84%8e%e1%85%a5%e1%86%b8-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc911\ucca9\ub41c dataframe\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec Pandas DataFrame\uc744 \ub2e4\ub978 DataFrame \ub0b4\uc5d0 \uc911\ucca9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 \uc138 \uac1c\uc758 DataFrame( df1<\/strong> , df2<\/strong> , df3<\/strong> )\uc744 df_all<\/strong> \uc774\ub77c\ub294 \ub354 \ud070 DataFrame\uc5d0 \uc911\ucca9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc911\ucca9 DataFrame \uc911 \ud558\ub098\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])<\/strong><\/pre>\n
 \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
 \uc608: Pandas\uc5d0\uc11c \uc911\ucca9\ub41c DataFrame \ub9cc\ub4e4\uae30<\/strong><\/span><\/h2>\n
 \uc138 \uac1c\uc758 Panda DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' item<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' sales<\/span> ': [18, 22, 19, 14, 30]})\n\nprint<\/span> (df1)\n\n  item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' item<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' sales<\/span> ': [10, 12, 13, 13, 19]})\n\nprint<\/span> (df2)\n\n  item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19\n\n#create third DataFrame\n<\/span>df3 = pd. DataFrame<\/span> ({' item<\/span> ': ['K', 'L', 'M', 'N', 'O'],\n                    ' sales<\/span> ': [41, 22, 28, 25, 18]})\n\nprint<\/span> (df3)\n\n  item sales\n0 K 41\n1 L 22\n2 M 28\n3 N 25\n4 O 18\n<\/strong><\/pre>\n
 \uc774\uc81c \uc774 \uc138 \uac1c\uc758 DataFrame\uc744 \ubcf4\uc720\ud558\uae30 \uc704\ud574 \ub300\uaddc\ubaa8 DataFrame\uc744 \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub97c \uc704\ud574 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n
 \uadf8\ub7f0 \ub2e4\uc74c pandas iloc<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc911\ucca9 DataFrame\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uccab \ubc88\uc9f8 \uc911\ucca9 DataFrame\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])\n\n  item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n<\/strong><\/pre>\n
 \ub610\ub294 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub450 \ubc88\uc9f8 \uc911\ucca9 DataFrame\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #display second nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [1])\n\n  item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19<\/strong><\/pre>\n
 \ub4f1\ub4f1.<\/span><\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\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
 Pandas\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc778\ub371\uc2a4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc5f4\uc744 \uc778\ub371\uc2a4\ub85c \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec Pandas DataFrame\uc744 \ub2e4\ub978 DataFrame \ub0b4\uc5d0 \uc911\ucca9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df_all = pd. DataFrame ({‘ idx ‘:[1,2,3],’ dfs ‘:[df1,df2,df3]}) \uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 \uc138 \uac1c\uc758 DataFrame( df1 , df2 , df3 )\uc744 df_all \uc774\ub77c\ub294 \ub354 \ud070 DataFrame\uc5d0 \uc911\ucca9\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc911\ucca9 DataFrame \uc911 \ud558\ub098\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #display first nested […]<\/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-4207","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc911\ucca9\ub41c DataFrame\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas\uc5d0\uc11c \uc911\ucca9\ub41c DataFrame\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uacfc \uc5ec\uae30\uc5d0 \ud3ec\ud568\ub41c DataFrame\uc5d0 \uc561\uc138\uc2a4\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec \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\u1162\u11ab\u1103\u1165-\u110c\u116e\u11bc\u110e\u1165\u11b8-\u1103\u1166\u110b\u1175\u1110\u1165-\u1111\u1173\u1105\u1166\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \uc911\ucca9\ub41c DataFrame\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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