{"id":972,"date":"2023-07-28T03:22:54","date_gmt":"2023-07-28T03:22:54","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%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%e1%84%8b%e1%85%b5%e1%86%b7-%e1%84%89%e1%85%b3%e1%84%90\/"},"modified":"2023-07-28T03:22:54","modified_gmt":"2023-07-28T03:22:54","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%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%e1%84%8b%e1%85%b5%e1%86%b7-%e1%84%89%e1%85%b3%e1%84%90","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%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%e1%84%8b%e1%85%b5%e1%86%b7-%e1%84%89%e1%85%b3%e1%84%90\/","title":{"rendered":"\uc5ec\ub7ec pandas dataframe\uc744 \uc2a4\ud0dd\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

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\uc885\uc885 \ub450 \uac1c \uc774\uc0c1\uc758 Pandas DataFrame\uc744 \uc313\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 pandas concat()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\uc608 1: Pandas DataFrame \ub450 \uac1c \uc313\uae30<\/strong><\/span><\/h3>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub450 \uac1c\uc758 Panda DataFrame\uc744 \uc11c\ub85c “\uc2a4\ud0dd”\ud558\uace0 DataFrame\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf3\n\n\tplayer points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n<\/strong><\/pre>\n
 \uc608 2: Pandas DataFrame 3\uac1c \uc313\uae30<\/strong><\/span><\/h3>\n
 \uc720\uc0ac\ud55c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc138 \uac1c\uc758 \ud32c\ub354 DataFrame\uc744 \uc11c\ub85c \uc313\uc544\uc11c DataFrame\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create three DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]})\n\ndf3 = pd.DataFrame({'player': ['K', 'L', 'M', 'N', 'O'],\n                    'points':[9, 5, 5, 13, 17]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf4 = pd. concat<\/span> ([df1,df2, df3], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf4\n\n        player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n10K 9\n11 L 5\n12 M 5\n13 N 13\n14 O 17<\/strong><\/pre>\n
 ignore_index\uc758 \uc911\uc694\uc131<\/strong><\/span><\/h3>\n
 \uc774\uc804 \uc608\uc5d0\uc11c\ub294 ignore_index=True\ub97c<\/strong> \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \ud32c\ub354\uc5d0\uac8c \uac01 DataFrame\uc758 \uc778\ub371\uc2a4 \ubc88\ud638\ub97c \ubb34\uc2dc\ud558\uace0 \uc0c8 DataFrame\uc5d0 \ub300\ud574 0\uc5d0\uc11c n-1 \ubc94\uc704\uc758 \uc0c8 \uc778\ub371\uc2a4\ub97c \uc0dd\uc131\ud558\ub3c4\ub85d \uc9c0\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ub450 DataFrame\uc744 \uc2a4\ud0dd\ud560 \ub54c ignore_index=True\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc9c0 \uc54a\uc73c\uba74 \uc5b4\ub5a4 \uc77c\uc774 \ubc1c\uc0dd\ud558\ub294\uc9c0 \uc0dd\uac01\ud574 \ubcf4\uc138\uc694.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames with indices<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]},\n                    index=[0, 1, 2, 3, 4])\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]},\n                    index=[2, 4, 5, 6, 9])\n\n#stack the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2])\n\n#view resulting DataFrame<\/span>\ndf3\n\n        player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n2 F 24\n4G 26\n5:27 a.m.\n6 I 27\n9 D 12\n<\/strong><\/pre>\n
 \uacb0\uacfc DataFrame\uc740 \ub450 DataFrame\uc758 \uc6d0\ub798 \uc778\ub371\uc2a4 \uac12\uc744 \uc720\uc9c0\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub530\ub77c\uc11c \uc6d0\ub798 \uc778\ub371\uc2a4 \uac12\uc744 \uc720\uc9c0\ud574\uc57c \ud558\ub294 \ud2b9\ubcc4\ud55c \uc774\uc720\uac00 \uc5c6\ub294 \ud55c \ub450 \uac1c\uc758 DataFrame\uc744 \uc313\uc744 \ub54c \uc77c\ubc18\uc801\uc73c\ub85c ignore_index=True\ub97c<\/strong> \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \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
 Pandas DataFrame\uc5d0 \ube48 \uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0 \uc5f4\uc744 \uc0bd\uc785\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc744 Excel\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 \ub450 \uac1c \uc774\uc0c1\uc758 Pandas DataFrame\uc744 \uc313\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 pandas concat() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: Pandas DataFrame \ub450 \uac1c \uc313\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub450 \uac1c\uc758 Panda DataFrame\uc744 \uc11c\ub85c “\uc2a4\ud0dd”\ud558\uace0 DataFrame\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #create […]<\/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-972","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\uc5ec\ub7ec Pandas DataFrame\uc744 \uc2a4\ud0dd\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uba87 \uac00\uc9c0 \uc608\ub97c \ud3ec\ud568\ud558\uc5ec \ub450 \uac1c \uc774\uc0c1\uc758 Pandas DataFrame\uc744 \uc2a4\ud0dd\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\" 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