{"id":3656,"date":"2023-07-16T07:19:35","date_gmt":"2023-07-16T07:19:35","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a9%e1%86%bc%e1%84%80%e1%85%a8%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%80%e1%85%a1%e1%84%92%e1%85%a1\/"},"modified":"2023-07-16T07:19:35","modified_gmt":"2023-07-16T07:19:35","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a9%e1%86%bc%e1%84%80%e1%85%a8%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%80%e1%85%a1%e1%84%92%e1%85%a1","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%82%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a9%e1%86%bc%e1%84%80%e1%85%a8%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%80%e1%85%a1%e1%84%92%e1%85%a1\/","title":{"rendered":"Pandas dataframe\uc5d0 \ucd1d \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame \ud558\ub2e8\uc5d0 &#8220;\uc804\uccb4&#8221; \uc904\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">loc<\/span> [' <span style=\"color: #ff0000;\">total<\/span> '] = df. <span style=\"color: #3366ff;\">sum<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\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<h2> <span style=\"color: #000000;\"><strong>\uc608: Pandas DataFrame\uc5d0 \ucd1d\uacc4 \ud589 \ucd94\uac00<\/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>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5],\n                   ' <span style=\"color: #ff0000;\">blocks<\/span> ': [6, 6, 3, 2, 7, 9]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #008000;\">print<\/span><\/span> (df)\n\n  team assists rebound blocks\n0 A 5 11 6\n1 B 7 8 6\n2 C 7 10 3\n3 D 9 6 2\n4 E 12 6 7\n5 F 9 5 9\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac01 \uc5f4\uc758 \uac12 \ud569\uacc4\ub97c \ud45c\uc2dc\ud558\ub294 DataFrame \ud558\ub2e8\uc5d0 &#8220;total&#8221; \ud589\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add total row\n<\/span>df. <span style=\"color: #3366ff;\">loc<\/span> [' <span style=\"color: #ff0000;\">total<\/span> ']= df. <span style=\"color: #3366ff;\">sum<\/span> ()\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         team assists rebound blocks\n0 A 5 11 6\n1 B 7 8 6\n2 C 7 10 3\n3 D 9 6 2\n4 E 12 6 7\n5 F 9 5 9\ntotal ABCDEF 49 46 33<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uac01 \uc5f4\uc758 \uac12 \ud569\uacc4\ub97c \ud45c\uc2dc\ud558\ub294 DataFrame \ud558\ub2e8\uc5d0 \uc0c8 \ud589\uc774 \ucd94\uac00\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubb38\uc790 \uc5f4\uc758 \uacbd\uc6b0 &#8220;\ud569\uacc4&#8221;\ub294 \ub2e8\uc21c\ud788 \uc5f4\uc758 \uac01 \ubb38\uc790\ub97c \uc5f0\uacb0\ud55c \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6d0\ud558\ub294 \uacbd\uc6b0 <strong>\ud300<\/strong> \uc5f4\uc758 &#8220;\ud569\uacc4&#8221; \uac12\uc744 \ube44\uc6cc\ub450\ub3c4\ub85d \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#set last value in team column to be blank\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [df. <span style=\"color: #3366ff;\">index<\/span> [-1], ' <span style=\"color: #ff0000;\">team<\/span> '] = ''\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n      team assists rebound blocks\n0 A 5 11 6\n1 B 7 8 6\n2 C 7 10 3\n3 D 9 6 2\n4 E 12 6 7\n5 F 9 5 9\ntotal 49 46 33\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ud300<\/strong> \uc5f4\uc758 \ub9c8\uc9c0\ub9c9 \uac12\uc740 \uc774\uc81c \uc5f4\uc758 \uac01 \ubb38\uc790\ub97c \uc5f0\uacb0\ud558\ub294 \ub300\uc2e0 \ube44\uc5b4 \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 \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-\u1102\u1161\u11ab-\u110b\u1165\u11b9\u110b\u1175-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1165\u11ab\u1110\u1162\u11a8\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c NaN \uac12 \uc5c6\uc774 \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1103\u1161\u110b\u1173\u11b7\u110b\u1173\u11af-\u110c\u1166\u110b\u116c\u1112\u1161\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1161\u11a8\u110c\u1166\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ud2b9\uc815 \ud589\uc744 \uc81c\uc678\ud55c \ubaa8\ub4e0 \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1110\u1173\u11a8\u110c\u1165\u11bc-\u1112\u1161\u11b8\u1100\u1168-\u110b\u1167\u11af\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ud2b9\uc815 \uc5f4\uc744 \ud569\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame \ud558\ub2e8\uc5d0 &#8220;\uc804\uccb4&#8221; \uc904\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df. loc [&#8216; total &#8216;] = df. sum () \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. \uc608: Pandas DataFrame\uc5d0 \ucd1d\uacc4 \ud589 \ucd94\uac00 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; team &#8216;: [&#8216;A&#8217;, &#8216;B&#8217;, [&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-3656","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 DataFrame\uc5d0 \ucd1d \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\ub97c \ub4e4\uc5b4 Pandas DataFrame\uc5d0 \ucd1d\uacc4 \ud589\uc744 \ucd94\uac00\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\u1102\u1173\u11ab-\u110e\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u110e\u116e\u1100\u1161\u1112\u1161\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrame\uc5d0 \ucd1d \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95 - 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