{"id":3565,"date":"2023-07-16T19:26:37","date_gmt":"2023-07-16T19:26:37","guid":{"rendered":"https:\/\/statorials.org\/ko\/pandas-groupby-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-16T19:26:37","modified_gmt":"2023-07-16T19:26:37","slug":"pandas-groupby-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%8b%e1%85%a7%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/pandas-groupby-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7-%e1%84%87%e1%85%a1%e1%84%81%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Pandas: groupby \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\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\uc758 <strong>groupby()<\/strong> \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_col<\/span> '). <span style=\"color: #3366ff;\">agg<\/span> (sum_col1=(' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">sum<\/span> '),\n                            mean_col2=(' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">mean<\/span> '),\n                            max_col3=(' <span style=\"color: #ff0000;\">col3<\/span> ', ' <span style=\"color: #ff0000;\">max<\/span> '))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 \uc138 \uac1c\uc758 \uc9d1\uacc4 \uc5f4\uc744 \uacc4\uc0b0\ud558\uace0 \uc774\ub984\uc744 <strong>sum_col1<\/strong> , <strong>Mean_col2<\/strong> \ubc0f <strong>max_col3<\/strong> \uc73c\ub85c \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\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\uc758 Groupby \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984 \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;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [30, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 6, 6, 5, 8, 7, 7, 9],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [4, 13, 15, 10, 7, 7, 5, 11]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 to 30 5 4\n1 to 22 6 13\n2 A 19 6 15\n3 A 14 5 10\n4 B 14 8 7\n5 B 11 7 7\n6 B 20 7 5\n7 B 28 9 11\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec <strong>\ud300<\/strong> \uc5f4\ubcc4\ub85c \ud589\uc744 \uadf8\ub8f9\ud654\ud55c \ub2e4\uc74c \uc9d1\uacc4 \uc5f4\uc5d0 \ud2b9\uc815 \uc774\ub984\uc744 \uc81c\uacf5\ud558\uba74\uc11c 3\uac1c\uc758 \uc9d1\uacc4 \uc5f4\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate several aggregated columns by group and rename aggregated columns\n<\/span>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> '). <span style=\"color: #3366ff;\">agg<\/span> (sum_points=(' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">sum<\/span> '),\n                       mean_assists=(' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">mean<\/span> '),\n                       max_rebounds=(' <span style=\"color: #ff0000;\">rebounds<\/span> ', ' <span style=\"color: #ff0000;\">max<\/span> '))\n\n\tsum_points mean_assists max_rebounds\nteam\t\t\t\nA 85 5.50 15\nB 73 7.75 11\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc138 \uac1c\uc758 \uc9d1\uacc4\ub41c \uc5f4\uc5d0\ub294 <strong>agg()<\/strong> \ud568\uc218\uc5d0\uc11c \uc81c\uacf5\ud55c \uc0ac\uc6a9\uc790 \uc815\uc758 \uc774\ub984\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \uc6d0\ud558\ub294 \uacbd\uc6b0 NumPy \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>agg()<\/strong> \ud568\uc218\uc758 \ud569\uacc4, \ud3c9\uade0 \ubc0f \ucd5c\ub300\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#calculate several aggregated columns by group and rename aggregated columns\n<\/span>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> '). <span style=\"color: #3366ff;\">agg<\/span> (sum_points=(' <span style=\"color: #ff0000;\">points<\/span> ', np. <span style=\"color: #3366ff;\">sum<\/span> ),\n                       mean_assists=(' <span style=\"color: #ff0000;\">assists<\/span> ', np. <span style=\"color: #3366ff;\">mean<\/span> ),\n                       max_rebounds=(' <span style=\"color: #ff0000;\">rebounds<\/span> ', np. <span style=\"color: #3366ff;\">max<\/span> ))\n\n\tsum_points mean_assists max_rebounds\nteam\t\t\t\nA 85 5.50 15\nB 73 7.75 11<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uacb0\uacfc\ub294 \uc774\uc804 \uc608\uc758 \uacb0\uacfc\uc640 \uc77c\uce58\ud569\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-\u1106\u1169\u11a8\u1105\u1169\u11a8-\u110b\u1167\u11af-\u110b\u1175\u1105\u1173\u11b7\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc744 \ub098\uc5f4\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1175\u1105\u1173\u11b7\u1107\u1167\u11af\u1105\u1169-\u110b\u1167\u11af\u110b\u1173\u11af-\u110c\u1165\u11bc\u1105\u1167\u11af\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc774\ub984\ubcc4\ub85c \uc5f4\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110c\u116e\u11bc\u1107\u1169\u11a8-\u110b\u1167\u11af\u110b\u1173\u11af-\u1109\u1161\u11a8\u110c\u1166\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc911\ubcf5 \uc5f4\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas\uc758 groupby() \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df. groupby (&#8216; group_col &#8216;). agg (sum_col1=(&#8216; col1 &#8216;, &#8216; sum &#8216;), mean_col2=(&#8216; col2 &#8216;, &#8216; mean &#8216;), max_col3=(&#8216; col3 &#8216;, &#8216; max &#8216;)) \uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 \uc138 \uac1c\uc758 \uc9d1\uacc4 \uc5f4\uc744 \uacc4\uc0b0\ud558\uace0 \uc774\ub984\uc744 sum_col1 , Mean_col2 \ubc0f max_col3 \uc73c\ub85c \uc9c0\uc815\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c [&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-3565","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: Groupby \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas\uc758 groupby \ud568\uc218\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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