{"id":1515,"date":"2023-07-26T01:35:25","date_gmt":"2023-07-26T01:35:25","guid":{"rendered":"https:\/\/statorials.org\/ja\/%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%e3%81%ae%e3%83%aa%e3%82%b9%e3%83%88python\/"},"modified":"2023-07-26T01:35:25","modified_gmt":"2023-07-26T01:35:25","slug":"%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%e3%81%ae%e3%83%aa%e3%82%b9%e3%83%88python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%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%e3%81%ae%e3%83%aa%e3%82%b9%e3%83%88python\/","title":{"rendered":"Python \u3067\u30ea\u30b9\u30c8\u3092 dataframe \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Python \u3067 List \u3092 DataFrame \u306b\u5909\u63db\u3057\u305f\u3044\u5834\u5408\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.html\" target=\"_blank\" rel=\"noopener\">pandas.DataFrame<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>pandas.DataFrame(\u30c7\u30fc\u30bf = \u306a\u3057\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9 = \u306a\u3057\u3001\u5217 = \u306a\u3057\u3001\u2026)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong> DataFrame \u306b\u5909\u63db\u3059\u308b\u30c7\u30fc\u30bf<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>Index:<\/strong>\u7d50\u679c\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u4f7f\u7528\u3059\u308b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5217:<\/strong>\u7d50\u679c\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u4f7f\u7528\u3059\u308b\u5217\u30e9\u30d9\u30eb<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u306e\u95a2\u6570\u306e\u5b9f\u969b\u306e\u4f7f\u7528\u4f8b\u3092\u3044\u304f\u3064\u304b\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u30ea\u30b9\u30c8\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30ea\u30b9\u30c8\u3092 pandas DataFrame \u306b\u5909\u63db\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;\">#create list that contains points scored by 10 basketball players<\/span>\ndata = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\n\n<span style=\"color: #008080;\">#convert list to DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame<\/span>\n<span style=\"color: #993300;\">print<\/span> (df)\n\n       points\n0 4\n1 14\n2 17\n3 22\n4 26\n5 29\n6 33\n7 35<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u8907\u6570\u306e\u30ea\u30b9\u30c8\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u8907\u6570\u306e\u30ea\u30b9\u30c8\u3092 pandas DataFrame \u306b\u5909\u63db\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;\">#define lists\n<\/span><span style=\"color: #000000;\">points = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\nrebounds = [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]\n\n<span style=\"color: #008080;\">#convert lists into a single list\n<\/span>data = []\ndata. <span style=\"color: #3366ff;\">append<\/span> (dots)\ndata. <span style=\"color: #3366ff;\">append<\/span> (rebounds)\n\n<span style=\"color: #008000;\"><span style=\"color: #008080;\">#view new list<\/span>\n<span style=\"color: #000000;\">data<\/span>\n\n<span style=\"color: #000000;\">[[4, 14, 17, 22, 26, 29, 33, 35, 35, 38], [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]]<\/span>\n<\/span>\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data). <span style=\"color: #3366ff;\">transpose<\/span> ()\ndf. <span style=\"color: #3366ff;\">columns<\/span> =[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: \u30ea\u30b9\u30c8\u306e\u30ea\u30b9\u30c8\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30ea\u30b9\u30c8\u306e\u30ea\u30b9\u30c8\u3092 pandas DataFrame \u306b\u5909\u63db\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;\">#define list of lists\n<\/span><span style=\"color: #000000;\">data = [[4, 1], [14, 4], [17, 4], [22, 5], [26, 8],\n        [29, 7], [33, 5], [35, 6], [35, 9], [38,11]]\n\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u7d50\u679c\u3068\u3057\u3066\u5f97\u3089\u308c\u308b DataFrame \u306e\u884c\u6570\u3068\u5217\u6570\u3092\u7c21\u5358\u306b\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display number of rows and columns in DataFrame<\/span>\ndf.<\/span> <span style=\"color: #3366ff;\">shape\n<\/span><\/span><\/span>\n(10, 2)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u306e DataFrame \u306b\u306f<strong>10<\/strong>\u884c<strong>2<\/strong>\u5217\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305d\u3057\u3066\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7d50\u679c\u3068\u3057\u3066\u5f97\u3089\u308c\u308b DataFrame \u5185\u306e\u5217\u540d\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display column names of DataFrame<\/span>\nlist(df)\n<\/span>\n['points', 'rebounds']\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\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\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067 DataFrame \u3092\u30ea\u30b9\u30c8\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u8f9e\u66f8\u3092DataFrame\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u6587\u5b57\u5217\u3092\u30d5\u30ed\u30fc\u30c6\u30a3\u30f3\u30af\u3099\u30cf\u309a\u30f3\u30bf\u3099\u306b\u5909\u63db\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u6587\u5b57\u5217\u3092 float \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python \u3067 List \u3092 DataFrame \u306b\u5909\u63db\u3057\u305f\u3044\u5834\u5408\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002 \u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308bpandas.DataFrame\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 pandas.DataFr [&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-1515","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>Python \u3067\u30ea\u30b9\u30c8\u3092 DataFrame \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5 - \u8a18\u4e8b<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u30ea\u30b9\u30c8\u3092 DataFrame \u306b\u5909\u63db\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, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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