{"id":3915,"date":"2023-07-14T18:27:05","date_gmt":"2023-07-14T18:27:05","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e5%a4%96%e9%83%a8%e7%b5%90%e5%90%88\/"},"modified":"2023-07-14T18:27:05","modified_gmt":"2023-07-14T18:27:05","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e5%a4%96%e9%83%a8%e7%b5%90%e5%90%88","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%ae%e5%a4%96%e9%83%a8%e7%b5%90%e5%90%88\/","title":{"rendered":"Pandas \u3067\u5916\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5916\u90e8\u7d50\u5408\u306f\u3001<\/strong> 2 \u3064\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304b\u3089\u3059\u3079\u3066\u306e\u884c\u3092\u8fd4\u3059\u7d50\u5408\u306e\u30bf\u30a4\u30d7\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u30d1\u30f3\u30c0\u3067\u5916\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<\/span>\ndf1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">some_column<\/span> ', how=' <span style=\"color: #ff0000;\">outer<\/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<h2><span style=\"color: #000000;\"><strong>\u4f8b: Pandas \u3067\u5916\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u3055\u307e\u3056\u307e\u306a\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb \u30c1\u30fc\u30e0\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u542b\u3080\u3001\u6b21\u306e 2 \u3064\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;\">#createDataFrame\n<span style=\"color: #000000;\">df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'J', 'K'],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [4, 9, 14, 13, 10, 8]})\n\n<span style=\"color: #008080;\">#view DataFrames\n<\/span><span style=\"color: #008000;\">print<\/span> (df1)\n\n  team points\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 14\n5 F 11\n6 G 20\n7:28 a.m.\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n  team assists\n0 to 4\n1 B 9\n2 C 14\n3 D 13\n4 D 10\n5K 8<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u5916\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3057\u3001<strong>\u30c1\u30fc\u30e0<\/strong>\u5217\u306e\u5024\u306b\u57fa\u3065\u3044\u3066 DataFrame \u9593\u306e\u884c\u3092\u7167\u5408\u3057\u3001\u4e21\u65b9\u306e DataFrame \u306e\u3059\u3079\u3066\u306e\u884c\u3092\u4fdd\u6301\u3057\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;\">#perform outer join\n<\/span>df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">team<\/span> ', how=' <span style=\"color: #ff0000;\">outer<\/span> ')\n\n\n        team points assists\n0 to 18.0 4.0\n1 B 22.0 9.0\n2 C 19.0 14.0\n3D 14.0 13.0\n4 E 14.0 NaN\n5 F 11.0 NaN\n6G 20.0 NaN\n7 H 28.0 NaN\n8 J NaN 10.0\n9K NaN 8.0\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7d50\u679c\u306f\u3001\u5404 DataFrame \u306e\u3059\u3079\u3066\u306e\u884c\u3092\u542b\u3080 DataFrame \u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e21\u65b9\u306e DataFrame \u306b<strong>\u30c1\u30fc\u30e0<\/strong>\u5217\u306e\u5024\u304c\u5b58\u5728\u3057\u306a\u3044\u884c\u3054\u3068\u306b<strong>NaN<\/strong>\u5024\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>:<strong>\u30de\u30fc\u30b8<\/strong>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.merge.html\" target=\"_blank\" rel=\"noopener\">\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\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\u306e\u30a2\u30f3\u30c1\u53c2\u52a0\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u30a2\u30f3\u30c1\u7d50\u5408\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u30a4\u30f3\u30c6\u30ea\u30a2\u30b7\u30fc\u30eb\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u5185\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30af\u30ed\u30b9\u30cf\u309a\u30f3\u30bf\u3099\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u30af\u30ed\u30b9\u7d50\u5408\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5916\u90e8\u7d50\u5408\u306f\u3001 2 \u3064\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304b\u3089\u3059\u3079\u3066\u306e\u884c\u3092\u8fd4\u3059\u7d50\u5408\u306e\u30bf\u30a4\u30d7\u3067\u3059\u3002 \u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u30d1\u30f3\u30c0\u3067\u5916\u90e8\u7d50\u5408\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 import pandas as pd df1. merge (df2, on [&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-3915","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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