{"id":4039,"date":"2023-07-14T00:15:11","date_gmt":"2023-07-14T00:15:11","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%af-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5\/"},"modified":"2023-07-14T00:15:11","modified_gmt":"2023-07-14T00:15:11","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%af-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5","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%af-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5\/","title":{"rendered":"Pandas\uc5d0\uc11c \ub450 \uc904\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub450 \ud589\uc758 \uc704\uce58\ub97c \ubc14\uafc0 \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;\">def<\/span> <span style=\"color: #0000ff;\">swap_rows<\/span> (df, row1, row2):\n    df. <span style=\"color: #3366ff;\">iloc<\/span> [row1], df. <span style=\"color: #3366ff;\">iloc<\/span> [row2] = df. <span style=\"color: #3366ff;\">iloc<\/span> [row2]. <span style=\"color: #3366ff;\">copy<\/span> (), df. <span style=\"color: #3366ff;\">iloc<\/span> [row1]. <span style=\"color: #3366ff;\">copy<\/span> ()\n    <span style=\"color: #008000;\">return<\/span> df\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\ub294 DataFrame\uc758 <strong>row1<\/strong> \ubc0f <strong>row2<\/strong> \uc778\ub371\uc2a4 \uc704\uce58\uc5d0\uc11c \ud589 \uc704\uce58\ub97c \ubc14\uafc9\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<h2> <span style=\"color: #000000;\"><strong>\uc608: Pandas\uc5d0\uc11c \ub450 \uc904 \ubc14\uafb8\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavs', 'Nets', 'Kings', 'Cavs', 'Heat', 'Magic'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [12, 15, 22, 29, 24, 22],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [4, 5, 10, 8, 7, 10]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    team points assists\n0 Mavs 12 4\n1 Nets 15 5\n2Kings 22 10\n3 Cavs 29 8\n4 Heat 24 7\n5 Magic 22 10\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">DataFrame\uc758 \uc778\ub371\uc2a4 \uc704\uce58 0\uacfc 4\uc5d0\uc11c \ud589\uc744 \ubc14\uafb8\ub294 <strong>swap_rows()<\/strong> \ud568\uc218\ub97c \uc815\uc758\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;\"><span style=\"color: #008080;\">#define function to swap rows<\/span>\ndef<\/span> <span style=\"color: #0000ff;\">swap_rows<\/span> (df, row1, row2):\n    df. <span style=\"color: #3366ff;\">iloc<\/span> [row1], df. <span style=\"color: #3366ff;\">iloc<\/span> [row2] = df. <span style=\"color: #3366ff;\">iloc<\/span> [row2]. <span style=\"color: #3366ff;\">copy<\/span> (), df. <span style=\"color: #3366ff;\">iloc<\/span> [row1]. <span style=\"color: #3366ff;\">copy<\/span> ()\n    <span style=\"color: #008000;\">return<\/span> df\n\n<span style=\"color: #008080;\">#swap rows in index positions 0 and 4\n<\/span>df = swap_rows(df, <span style=\"color: #008000;\">0<\/span> , <span style=\"color: #008000;\">4<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    team points assists\n0 Heat 24 7\n1 Nets 15 5\n2Kings 22 10\n3 Cavs 29 8\n4 Mavs 12 4\n5 Magic 22 10\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc778\ub371\uc2a4 \uc704\uce58 0\uacfc 4\uc758 \ud589\uc740 \uc11c\ub85c \ubc14\ub00c\uc5c8\uc9c0\ub9cc \ub2e4\ub978 \ubaa8\ub4e0 \ud589\uc740 \ub3d9\uc77c\ud55c \uc704\uce58\uc5d0 \uc720\uc9c0\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <strong>swap_rows()<\/strong> \ud568\uc218\uc5d0\uc11c\ub294<a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-loc-\u1103\u1162-iloc\/\" target=\"_blank\" rel=\"noopener\">.iloc<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc778\ub371\uc2a4 \uc704\uce58\ub97c \uae30\ubc18\uc73c\ub85c DataFrame\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\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\u11af\u110b\u1174-\u1110\u1173\u11a8\u110c\u1165\u11bc-\u1100\u1161\u11b9\u110b\u1173\u11af-\u1100\u1168\u1109\u1161\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uc5f4\uc5d0\uc11c \ud2b9\uc815 \uac12\uc758 \ubc1c\uc0dd \ud69f\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1112\u1162\u11bc-\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\u1105\u1173\u11af-\u110b\u1165\u11ae\u1109\u1173\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uc5f4\uc774 \uac12\uacfc \uc77c\uce58\ud558\ub294 \ud589\uc758 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u116e\u1105\u1161\u11a8\u1103\u116c\u11ab-\u1100\u1161\u11b9\u110b\u1173\u11af-\u1100\u1168\u1109\u1161\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: DataFrame\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub450 \ud589\uc758 \uc704\uce58\ub97c \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4. def swap_rows (df, row1, row2): df. iloc [row1], df. iloc [row2] = df. iloc [row2]. copy (), df. iloc [row1]. copy () return df \uc774 \ud568\uc218\ub294 DataFrame\uc758 row1 \ubc0f row2 \uc778\ub371\uc2a4 \uc704\uce58\uc5d0\uc11c \ud589 \uc704\uce58\ub97c \ubc14\uafc9\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 [&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-4039","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 \ub450 \uc904\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc5d0\uc11c \ub450 \uc904\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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