{"id":3538,"date":"2023-07-16T23:01:05","date_gmt":"2023-07-16T23:01:05","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%89%e1%85%a1%e1%86%bc\/"},"modified":"2023-07-16T23:01:05","modified_gmt":"2023-07-16T23:01:05","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%89%e1%85%a1%e1%86%bc","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%89%e1%85%a1%e1%86%bc\/","title":{"rendered":"Pandas\uc5d0\uc11c \ud560\ub2f9() \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>insert()<\/strong> \uba54\uc18c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc5d0 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ubc29\ubc95\uc740 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">assign<\/span> (new_column = values)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uba54\uc11c\ub4dc\ub294 \ucf58\uc194\uc5d0 \uc0c8 DataFrame\ub9cc \ud45c\uc2dc\ud560 \ubfd0 \uc6d0\ubcf8 DataFrame\uc744 \uc2e4\uc81c\ub85c \uc218\uc815\ud558\uc9c0\ub294 \uc54a\ub294\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6d0\ubcf8 DataFrame\uc744 \uc218\uc815\ud558\ub824\uba74 <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\uc758 \uacb0\uacfc\ub97c \uc0c8 \ubcc0\uc218\uc5d0 \uc800\uc7a5\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\ub97c \ub2e4\uc591\ud55c \ubc29\uc2dd\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\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;\">#define DataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: DataFrame\uc5d0 \uc0c8 \ubcc0\uc218 \ud560\ub2f9<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>\ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc758 \uac12\uc5d0 2\ub97c \uacf1\ud55c \uac12\uacfc \ub3d9\uc77c\ud55c <strong>points2<\/strong> \ub77c\ub294 DataFrame\uc5d0 \uc0c8 \ubcc0\uc218\ub97c \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new variable called points2\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = <span style=\"color: #3366ff;\">df.points<\/span> * <span style=\"color: #008000;\">2<\/span> )<\/span>\n\n    <span style=\"color: #000000;\">points<\/span> <span style=\"color: #000000;\">assists rebounds<\/span> <span style=\"color: #000000;\">points2\n0 25<\/span> <span style=\"color: #000000;\">5<\/span> <span style=\"color: #000000;\">11 50\n1 12<\/span> <span style=\"color: #000000;\">7<\/span> <span style=\"color: #000000;\">8 24\n2 15<\/span> <span style=\"color: #000000;\">7<\/span> <span style=\"color: #000000;\">10 30\n3 14<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">6 28\n4 19<\/span> <span style=\"color: #000000;\">12<\/span> <span style=\"color: #000000;\">6<\/span> <span style=\"color: #000000;\">38\n5 23<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">5 46\n6 25<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">9 50\n7 29<\/span> <span style=\"color: #000000;\">4<\/span> <span style=\"color: #000000;\">12 58\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uc774 <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\ub294 \uc6d0\ubcf8 DataFrame\uc744 \uc218\uc815\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6d0\ubcf8 DataFrame\uc744 \uc778\uc1c4\ud558\uba74 \ubcc0\uacbd\ub418\uc9c0 \uc54a\uc740 \uc0c1\ud0dc\ub85c \uc720\uc9c0\ub418\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print original DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Assign()<\/strong> \uba54\uc18c\ub4dc\uc758 \uacb0\uacfc\ub97c \uc800\uc7a5\ud558\uae30 \uc704\ud574 \uacb0\uacfc\ub97c \uc0c8 DataFrame\uc5d0 \uc800\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new variable called points2 and save results in new DataFrame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = <span style=\"color: #3366ff;\">df.points<\/span> * <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view new DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df_new)\n\n   points assists rebounds points2\n0 25 5 11 50\n1 12 7 8 24\n2 15 7 10 30\n3 14 9 6 28\n4 19 12 6 38\n5 23 9 5 46\n6 25 9 9 50\n7 29 4 12 58\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\uc81c <strong>df_new<\/strong> \ub77c\ub294 \uc0c8 DataFrame\uc5d0\ub294 \uc6b0\ub9ac\uac00 \ub9cc\ub4e0 <strong>points2<\/strong> \uc5f4\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 2: DataFrame\uc5d0 \uc5ec\ub7ec \uac1c\uc758 \uc0c8 \ubcc0\uc218 \ud560\ub2f9<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc5d0 \uc138 \uac1c\uc758 \uc0c8 \ubcc0\uc218\ub97c \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add three new variables to DataFrame and store results in new DataFrame<\/span>\ndf_new = df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = df. <span style=\"color: #3366ff;\">points<\/span> * <span style=\"color: #008000;\">2<\/span> ,\n                   assists_rebs = df. <span style=\"color: #3366ff;\">assists<\/span> + df. <span style=\"color: #3366ff;\">rebounds<\/span> ,\n                   conference = ' <span style=\"color: #ff0000;\">Western<\/span> ')\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n   points assists rebounds points2 assists_rebs conference\n0 25 5 11 50 16 Western\n1 12 7 8 24 15 Western\n2 15 7 10 30 17 Western\n3 14 9 6 28 15 Western\n4 19 12 6 38 18 Western\n5 23 9 5 46 14 Western\n6 25 9 9 50 18 Western\n7 29 4 12 58 16 Western\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">DataFrame\uc5d0 \uc138 \uac1c\uc758 \uc0c8\ub85c\uc6b4 \uc5f4\uc774 \ucd94\uac00\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.assign.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> pandas <strong>\ud560\ub2f9()<\/strong> \uba54\uc11c\ub4dc\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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 \uae30\ub2a5\uc744 \uc0ac\uc6a9\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-\u1109\u1165\u11af\u1106\u1167\u11bc\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c explain() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-idxmax\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c idxmax() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc120\ud0dd\ud55c \uc5f4\uc5d0 \ud568\uc218\ub97c \uc801\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>insert() \uba54\uc18c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc5d0 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. df. assign (new_column = values) \uc774 \uba54\uc11c\ub4dc\ub294 \ucf58\uc194\uc5d0 \uc0c8 DataFrame\ub9cc \ud45c\uc2dc\ud560 \ubfd0 \uc6d0\ubcf8 DataFrame\uc744 \uc2e4\uc81c\ub85c \uc218\uc815\ud558\uc9c0\ub294 \uc54a\ub294\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \uc6d0\ubcf8 DataFrame\uc744 \uc218\uc815\ud558\ub824\uba74 \ud560\ub2f9() \uba54\uc11c\ub4dc\uc758 \uacb0\uacfc\ub97c \uc0c8 \ubcc0\uc218\uc5d0 \uc800\uc7a5\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \ud560\ub2f9() \uba54\uc11c\ub4dc\ub97c \ub2e4\uc591\ud55c [&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-3538","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 \ud560\ub2f9() \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 pandas\uc5d0\uc11c \ud560\ub2f9() \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\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\" 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