{"id":1783,"date":"2023-07-25T00:11:31","date_gmt":"2023-07-25T00:11:31","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99idxmax\/"},"modified":"2023-07-25T00:11:31","modified_gmt":"2023-07-25T00:11:31","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99idxmax","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99idxmax\/","title":{"rendered":"Pandas \u3067 idxmax() \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>pandas.DataFrame.idxmax()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u306e\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306e\u6700\u5927\u5024\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8fd4\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>DataFrame.idxmax(axis=0\u3001skipna=True)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>axis<\/strong> : \u4f7f\u7528\u3059\u308b\u8ef8 (0 = \u884c\u30011 = \u5217)\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u5024\u306f 0 \u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Skipna<\/strong> : NA \u307e\u305f\u306f null \u5024\u3092\u9664\u5916\u3059\u308b\u304b\u3069\u3046\u304b\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306f True \u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u5b9f\u969b\u306b\u6b21\u306e pandas DataFrame \u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'points': [25, 12, 15, 8, 9, 23],\n                   'assists': [5, 7, 7, 9, 12, 9],\n                   'rebounds': [11, 8, 11, 6, 6, 5]},\n                   index=['Andy','Bob', 'Chad', 'Dan', 'Eric', 'Frank'])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        points assists rebounds\nAndy 25 5 11\nBob 12 7 8\nChad 15 7 11\nDan 8 9 6\nEric 9 12 6\nFrank 23 9 5<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u5404\u5217\u306e\u6700\u5927\u5024\u3092\u6301\u3064\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u691c\u7d22\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u5217\u306e\u6700\u5927\u5024\u3092\u6301\u3064\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u691c\u7d22\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find index that has max value for each column<\/span>\ndf. <span style=\"color: #3366ff;\">idxmax<\/span> (axis= <span style=\"color: #008000;\">0<\/span> )\n\nAndy points\nassists Eric\nrebounds Andy\ndtype:object\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u30dd\u30a4\u30f3\u30c8<\/strong>\u5217\u306e\u6700\u9ad8\u5024\u3092\u6301\u3064\u30d7\u30ec\u30fc\u30e4\u30fc\u306f\u30a2\u30f3\u30c7\u30a3\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u30a2\u30b7\u30b9\u30c8<\/strong>\u6b04\u306e\u6700\u9ad8\u5024\u3092\u6301\u3064\u9078\u624b\u306f\u30a8\u30ea\u30c3\u30af\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><b>\u30ea\u30d0\u30a6\u30f3\u30c9<\/b>\u6b04\u306e\u6700\u9ad8\u5024\u3092\u6301\u3064\u9078\u624b\u306f\u30a2\u30f3\u30c7\u30a3\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">idxmax() \u95a2\u6570\u306f<strong>\u6700\u521d\u306b\u51fa\u73fe\u3057\u305f<\/strong>\u6700\u5927\u5024\u3092\u8fd4\u3059\u3053\u3068\u306b\u6ce8\u610f\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u30a2\u30f3\u30c7\u30a3\u3068\u30c1\u30e3\u30c9\u306f\u4e21\u65b9\u3068\u3082 11 \u30ea\u30d0\u30a6\u30f3\u30c9\u3092\u8a18\u9332\u3057\u305f\u3053\u3068\u306b\u6ce8\u76ee\u3057\u3066\u304f\u3060\u3055\u3044\u3002 Andy \u304c DataFrame \u3067\u6700\u521d\u306b\u51fa\u73fe\u3059\u308b\u305f\u3081\u3001\u5f7c\u306e\u540d\u524d\u304c\u8fd4\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u5404\u884c\u306e\u6700\u5927\u5024\u3092\u6301\u3064\u5217\u3092\u691c\u7d22\u3057\u307e\u3059\u3002<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u884c\u306e\u6700\u5927\u5024\u3092\u542b\u3080\u5217\u3092\u691c\u7d22\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find column that has max value for each row<\/span>\ndf. <span style=\"color: #3366ff;\">idxmax<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )\n\nAndy points\nBob stitches\nChad points\nDan assists\nEric assists\nFrank points\ndtype:object\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u300cAndy\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30dd\u30a4\u30f3\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u300cBob\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30dd\u30a4\u30f3\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u300cChad\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30dd\u30a4\u30f3\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u300cDan\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30a2\u30b7\u30b9\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u300c\u30a8\u30ea\u30c3\u30af\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30a2\u30b7\u30b9\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u300cAndy\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u884c\u306e\u6700\u9ad8\u5024\u304c<strong>\u30dd\u30a4\u30f3\u30c8<\/strong>\u5217\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">idxmax() \u95a2\u6570\u306e\u5b8c\u5168\u306a\u8aac\u660e\u306b\u3064\u3044\u3066\u306f\u3001 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.idxmax.html\" target=\"_blank\" rel=\"noopener\">pandas \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p>Pandas\u3067\u5217\u306e\u6700\u5927\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5<br \/><a href=\"https:\/\/statorials.org\/ja\/\u5e73\u5747\u7684\u306a\u30cf\u309a\u30f3\u30bf\u3099\u306e\u5217\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u5217\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u67f1\u3066\u3099\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas.DataFrame.idxmax()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u306e\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306e\u6700\u5927\u5024\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8fd4\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 DataFrame.id [&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-1783","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>Pandas \u3067 idxmax() \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas \u3067 idmax() \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306e\u6700\u5927\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\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\/\u30cf\u309a\u30f3\u30bf\u3099idxmax\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u3067 idxmax() \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas \u3067 idmax() \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u6307\u5b9a\u3055\u308c\u305f\u8ef8\u306e\u6700\u5927\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099idxmax\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T00:11:31+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99idxmax\/\",\"url\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99idxmax\/\",\"name\":\"Pandas \u3067 idxmax() \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-25T00:11:31+00:00\",\"dateModified\":\"2023-07-25T00:11:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas \u3067 idmax() 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