{"id":3001,"date":"2023-07-19T16:28:39","date_gmt":"2023-07-19T16:28:39","guid":{"rendered":"https:\/\/statorials.org\/ja\/pandas-groupby-%e3%81%8b%e3%82%89%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%81%b8\/"},"modified":"2023-07-19T16:28:39","modified_gmt":"2023-07-19T16:28:39","slug":"pandas-groupby-%e3%81%8b%e3%82%89%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%81%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/pandas-groupby-%e3%81%8b%e3%82%89%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%81%b8\/","title":{"rendered":"Pandas groupby \u51fa\u529b\u3092 dataframe \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas GroupBy \u306e\u51fa\u529b\u3092 pandas DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: Pandas GroupBy \u51fa\u529b\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b<\/strong><\/span><\/h3>\n

\u3055\u307e\u3056\u307e\u306a\u30c1\u30fc\u30e0\u306e\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u9078\u624b\u304c\u7372\u5f97\u3057\u305f\u30dd\u30a4\u30f3\u30c8\u3092\u793a\u3059\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' position<\/span> ': ['G', 'G', 'F', 'C', 'G', 'F', 'F', 'F'],\n                   ' points<\/span> ': [5, 7, 7, 10, 12, 22, 15, 10]})\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n  team position points\n0 AG 5\n1 AG 7\n2AF 7\n3 AC 10\n4 BG 12\n5 BF 22\n6 BF 15\n7 BF 10\n<\/strong><\/span><\/pre>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c1\u30fc\u30e0<\/strong>\u3068\u30dd\u30b8\u30b7\u30e7\u30f3<\/strong>\u3054\u3068\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 #count number of players, grouped by team and position\ngroup = df. groupby<\/span> ([' team<\/span> ', ' position<\/span> ']). size<\/span> ()\n<\/span>\n#viewoutput\nprint<\/span> (group)\n\nteam position\nAC 1\n      F 1\n      G2\nBF 3\n      G 1\ndtype: int64\n<\/span><\/span><\/strong><\/pre>\n
\u51fa\u529b\u304b\u3089\u3001\u30c1\u30fc\u30e0<\/strong>\u3068\u30dd\u30b8\u30b7\u30e7\u30f3\u3054\u3068<\/strong>\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u7dcf\u6570\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u305f\u3060\u3057\u3001\u6b21\u306e\u3088\u3046\u306b\u51fa\u529b\u306e\u5404\u884c\u306b\u30c1\u30fc\u30e0\u540d\u3092\u8868\u793a\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 team position count\n0 AC 1\n1 AF 1\n2 AG 2\n3 BF 3\n4 BG 1\n<\/strong><\/span><\/pre>\n
\u3053\u306e\u7d50\u679c\u3092\u9054\u6210\u3059\u308b\u306b\u306f\u3001GroupBy \u306e\u5b9f\u884c\u6642\u306b\u5358\u7d14\u306breplace_index()<\/strong>\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n
 #count number of players, grouped by team and position\n<\/span>df_out = df. groupby<\/span> ([' team<\/span> ', ' position<\/span> ']). size<\/span> (). reset_index<\/span> (name=' count<\/span> ')\n\n#viewoutput\n<\/span>print<\/span> (df_out)\n\n  team position count\n0 AC 1\n1 AF 1\n2 AG 2\n3 BF 3\n4 BG 1\n<\/strong><\/span><\/pre>\n
\u51fa\u529b\u304c\u5e0c\u671b\u306e\u5f62\u5f0f\u3067\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/span><\/p>\n
 reset_index()<\/strong>\u306ename<\/strong>\u5f15\u6570\u306f\u3001GroupBy \u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u308b\u65b0\u3057\u3044\u5217\u306e\u540d\u524d\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u7d50\u679c\u304c\u5b9f\u969b\u306b pandas DataFrame \u3067\u3042\u308b\u3053\u3068\u3082\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n
 #display object type of df_out\n<\/span>type<\/span> (df_out)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n
\u6ce8<\/strong>: pandas \u3067\u306e GroupBy \u64cd\u4f5c\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\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
 Pandas: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u7d2f\u7a4d\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a>
\u30d1\u30f3\u30c0: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306b\u4e00\u610f\u306e\u5024\u3092\u6570\u3048\u308b\u65b9\u6cd5<\/a>
\u30d1\u30f3\u30c0: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas GroupBy \u306e\u51fa\u529b\u3092 pandas DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002 \u4f8b: Pandas GroupBy \u51fa\u529b\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b \u3055\u307e\u3056\u307e\u306a […]<\/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-3001","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas GroupBy \u51fa\u529b\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas GroupBy \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092 pandas DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u793a\u3057\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\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\/ja\/pandas-groupby-\u304b\u3089\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3078\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas GroupBy \u51fa\u529b\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5 - 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