{"id":1696,"date":"2023-07-25T08:20:39","date_gmt":"2023-07-25T08:20:39","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e5%88%97%e3%82%92%e5%90%8d%e5%89%8d%e3%81%a6%e3%82%99%e3%82%bd%e3%83%bc%e3%83%88%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-25T08:20:39","modified_gmt":"2023-07-25T08:20:39","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e5%88%97%e3%82%92%e5%90%8d%e5%89%8d%e3%81%a6%e3%82%99%e3%82%bd%e3%83%bc%e3%83%88%e3%81%97%e3%81%be%e3%81%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e5%88%97%e3%82%92%e5%90%8d%e5%89%8d%e3%81%a6%e3%82%99%e3%82%bd%e3%83%bc%e3%83%88%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"\u30d1\u30f3\u30c0: \u5217\u3092\u540d\u524d\u3067\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u3092\u5217\u540d\u3067\u3059\u3070\u3084\u304f\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df[[' <span style=\"color: #ff0000;\">column1<\/span> ', ' <span style=\"color: #ff0000;\">column4<\/span> ', ' <span style=\"color: #ff0000;\">column3<\/span> ', ' <span style=\"color: #ff0000;\">column2<\/span> ']]\n<\/strong><\/pre>\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<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: Pandas DataFrame \u3092\u5217\u540d\u3067\u4e26\u3079\u66ff\u3048\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u3092\u5217\u540d\u3067\u4e26\u3079\u66ff\u3048\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: #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;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#list column names\n<\/span>list(df)\n\n['points', 'assists', 'rebounds', 'steals']\n\n<span style=\"color: #008080;\">#sort columns by names\n<\/span>df = df[[' <span style=\"color: #ff0000;\">steals<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']]\n\ndf\n\n\tsteals assists rebounds points\n0 2 5 11 25\n1 3 7 8 12\n2 3 7 10 15\n3 2 9 6 14\n4 5 12 6 19\n5 3 9 5 23\n6 2 9 9 25\n7 1 4 12 29\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: Pandas DataFrame \u3092\u30ea\u30b9\u30c8\u3067\u4e26\u3079\u66ff\u3048\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u3092\u540d\u524d\u306e\u30ea\u30b9\u30c8\u3067\u4e26\u3079\u66ff\u3048\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: #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;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#define list of column names\n<\/span>name_order = [' <span style=\"color: #ff0000;\">steals<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n<span style=\"color: #008080;\">#sort columns by list<\/span>\ndf = df[name_order]\n\ndf\n\n\tsteals assists rebounds points\n0 2 5 11 25\n1 3 7 8 12\n2 3 7 10 15\n3 2 9 6 14\n4 5 12 6 19\n5 3 9 5 23\n6 2 9 9 25\n7 1 4 12 29\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: Pandas DataFrame \u3092\u30a2\u30eb\u30d5\u30a1\u30d9\u30c3\u30c8\u9806\u306b\u4e26\u3079\u66ff\u3048\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u3092\u30a2\u30eb\u30d5\u30a1\u30d9\u30c3\u30c8\u9806\u306b\u4e26\u3079\u66ff\u3048\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: #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;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#sort columns alphabetically\n<\/span>df = df[sorted( <span style=\"color: #3366ff;\">df.columns<\/span> )]\n\ndf\n\n\tassists points rebounds steals\n0 5 25 11 2\n1 7 12 8 3\n2 7 15 10 3\n3 9 14 6 2\n4 12 19 6 5\n5 9 23 5 3\n6 9 25 9 2\n7 4 29 12 1\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u65e5\u4ed8\u9806\u306b\u4e26\u3078\u3099\u66ff\u3048\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u3092\u65e5\u4ed8\u3067\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u5217\u5185\u306e\u30cf\u309a\u30f3\u30bf\u3099\u306e\u4e00\u610f\u306e\u5024\/\" target=\"_blank\" rel=\"noopener\">Pandas \u5217\u306e\u4e00\u610f\u306e\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u3092\u5217\u540d\u3067\u3059\u3070\u3084\u304f\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 df = df[[&#8216; column1 &#8216;, &#8216; column4 &#8216;, &#8216; column3 &#8216;, &#8216; column2 &#8216;] [&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-1696","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: 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