{"id":3563,"date":"2023-07-16T19:26:37","date_gmt":"2023-07-16T19:26:37","guid":{"rendered":"https:\/\/statorials.org\/ja\/pandas-groupby%e3%81%af%e5%88%97%e3%81%ae%e5%90%8d%e5%89%8d%e3%82%92%e5%a4%89%e6%9b%b4%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-16T19:26:37","modified_gmt":"2023-07-16T19:26:37","slug":"pandas-groupby%e3%81%af%e5%88%97%e3%81%ae%e5%90%8d%e5%89%8d%e3%82%92%e5%a4%89%e6%9b%b4%e3%81%97%e3%81%be%e3%81%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/pandas-groupby%e3%81%af%e5%88%97%e3%81%ae%e5%90%8d%e5%89%8d%e3%82%92%e5%a4%89%e6%9b%b4%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"Pandas:groupby \u95a2\u6570\u3067\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas \u306e<strong>groupby()<\/strong>\u95a2\u6570\u306e\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/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;\">\u3053\u306e\u7279\u5b9a\u306e\u4f8b\u3067\u306f\u30013 \u3064\u306e\u96c6\u8a08\u5217\u3092\u8a08\u7b97\u3057\u3001 <strong>sum_col1<\/strong> \u3001 <strong>Mean_col2<\/strong> \u3001\u304a\u3088\u3073<strong>max_col3<\/strong>\u3068\u3044\u3046\u540d\u524d\u3092\u4ed8\u3051\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: Pandas \u306e Groupby \u95a2\u6570\u306e\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/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;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u884c\u3092<strong>\u30c1\u30fc\u30e0<\/strong>\u5217\u3054\u3068\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3001\u96c6\u8a08\u5217\u306b\u7279\u5b9a\u306e\u540d\u524d\u3092\u6307\u5b9a\u3057\u306a\u304c\u3089 3 \u3064\u306e\u96c6\u8a08\u5217\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/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;\">3 \u3064\u306e\u96c6\u8a08\u5217\u306b\u306f\u3001 <strong>agg()<\/strong>\u95a2\u6570\u3067\u6307\u5b9a\u3057\u305f\u30ab\u30b9\u30bf\u30e0\u540d\u304c\u4ed8\u3044\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u307e\u305f\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001NumPy \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066<strong>agg()<\/strong>\u95a2\u6570\u306e\u5408\u8a08\u5024\u3001\u5e73\u5747\u5024\u3001\u6700\u5927\u5024\u3092\u8a08\u7b97\u3067\u304d\u308b\u3053\u3068\u306b\u3082\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/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;\">\u3053\u308c\u3089\u306e\u7d50\u679c\u306f\u3001\u524d\u306e\u4f8b\u306e\u7d50\u679c\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u30ea\u30b9\u30c8\u306e\u5217\u540d\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u3059\u3079\u3066\u306e\u5217\u540d\u3092\u30ea\u30b9\u30c8\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u5217\u3092\u540d\u524d\u3066\u3099\u30bd\u30fc\u30c8\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u5217\u3092\u540d\u524d\u3067\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u91cd\u8907\u3057\u305f\u5217\u3092\u524a\u9664\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u91cd\u8907\u3057\u305f\u5217\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas \u306egroupby()\u95a2\u6570\u306e\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002 df. groupby (&#8216; group_col &#8216;). agg (sum_col1=(&#8216; col1 &#8216;, &#8216; sum &#8216;), m [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3563","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u30d1\u30f3\u30c0: Groupby \u95a2\u6570\u3067\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5 - \u7d71\u8a08<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u306e groupby \u95a2\u6570\u3067\u5217\u306e\u540d\u524d\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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