{"id":2028,"date":"2023-07-24T00:34:21","date_gmt":"2023-07-24T00:34:21","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%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":"2023-07-24T00:34:21","modified_gmt":"2023-07-24T00:34:21","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%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%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%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 dataframe\uc744 \uc5ec\ub7ec dataframe\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud589 \ubc88\ud638\ub97c \uae30\uc900\uc73c\ub85c pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 #split DataFrame into two DataFrames at row 6<\/span>\ndf1 = df. iloc<\/span> [:6]\ndf2 = df. iloc<\/span> [6:]\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: Pandas DataFrame\uc744 \ub450 \uac1c\uc758 DataFrame\uc73c\ub85c \ubd84\ud560<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc744 \ub450 \uac1c\uc758 DataFrame\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' x<\/span> ': [1, 1, 1, 3, 3, 4, 5, 5, 5, 6, 7, 9],\n                   ' y<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 3, 3, 1, 10]})\n<\/span>\n#view DataFrame\ndf\n\n\tx y\n0 1 5\n1 1 7\n2 1 7\n3 3 9\n4 3 12\n5 4 9\n6 5 9\n7 5 4\n8 5 3\n9 6 3\n10 7 1\n11 9 10<\/span>\n\n#split original DataFrame into two DataFrames\ndf1 = df. iloc<\/span> [:6]\ndf2 = df. iloc<\/span> [6:]<\/span>\n\n#view resulting DataFrames\n<\/span>print<\/span> (df1)\n\n   xy\n0 1 5\n1 1 7\n2 1 7\n3 3 9\n4 3 12\n5 4 9\n\nprint<\/span> (df2)\n    xy\n6 5 9\n7 5 4\n8 5 3\n9 6 3\n10 7 1\n11 9 10\n<\/strong><\/pre>\n
 df1<\/strong> \uc5d0\ub294 \uc6d0\ubcf8 DataFrame\uc758 \ucc98\uc74c 6\uac1c \ud589\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uace0 df2\uc5d0\ub294<\/strong> \uc6d0\ubcf8 DataFrame\uc758 \ub9c8\uc9c0\ub9c9 6\uac1c \ud589\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: Pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud32c\ub354\ub97c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' x<\/span> ': [1, 1, 1, 3, 3, 4, 5, 5, 5, 6, 7, 9],\n                   ' y<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 3, 3, 1, 10]})\n\n#split into three DataFrames\n<\/span><\/span>df1 = df. iloc<\/span> [:3]\ndf2 = df. iloc<\/span> [3:6]\ndf3 = df. iloc<\/span> [6:]\n\n#view resulting DataFrames\n<\/span>print<\/span> (df1)\n\n   xy\n0 1 5\n1 1 7\n2 1 7\n\nprint<\/span> (df2)\n\n   xy\n3 3 9\n4 3 12\n5 4 9\n\nprint<\/span> (df3)\n\n    xy\n6 5 9\n7 5 4\n8 5 3\n9 6 3\n10 7 1\n11 9 10\n<\/strong><\/pre>\n
 \uc774 \uc608\uc5d0\uc11c\ub294 DataFrame\uc744 \uc138 \uac1c\uc758 DataFrame\uc73c\ub85c \ubd84\ud560\ud558\uae30\ub85c \uc120\ud0dd\ud588\uc9c0\ub9cc \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 pandas DataFrame\uc744 \uc6d0\ud558\ub294 \uc218\uc758 DataFrame\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\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 \uae30\ub2a5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \uc5f4\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \ub2e8\uc77c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud589 \ubc88\ud638\ub97c \uae30\uc900\uc73c\ub85c pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #split DataFrame into two DataFrames at row 6 df1 = df. iloc [:6] df2 = df. iloc [6:] \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: Pandas DataFrame\uc744 \ub450 \uac1c\uc758 DataFrame\uc73c\ub85c \ubd84\ud560 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc744 \ub450 \uac1c\uc758 DataFrame\uc73c\ub85c […]<\/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-2028","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\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\u1162\u11ab\u1103\u1165-\u1107\u116e\u11ab\u1112\u1161\u11af-\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 DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1107\u116e\u11ab\u1112\u1161\u11af-\u1103\u1166\u110b\u1175\u1110\u1165-\u1111\u1173\u1105\u1166\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T00:34:21+00:00\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%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\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%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\/\",\"name\":\"Pandas DataFrame\uc744 \uc5ec\ub7ec DataFrame\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95 - 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