{"id":3555,"date":"2023-07-16T20:27:29","date_gmt":"2023-07-16T20:27:29","guid":{"rendered":"https:\/\/statorials.org\/ja\/typeerror-%e3%81%ae%e6%9c%80%e5%88%9d%e3%81%ae%e5%bc%95%e6%95%b0%e3%81%af-pandas-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ae%e5%8f%8d%e5%be%a9%e5%8f%af%e8%83%bd\/"},"modified":"2023-07-16T20:27:29","modified_gmt":"2023-07-16T20:27:29","slug":"typeerror-%e3%81%ae%e6%9c%80%e5%88%9d%e3%81%ae%e5%bc%95%e6%95%b0%e3%81%af-pandas-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ae%e5%8f%8d%e5%be%a9%e5%8f%af%e8%83%bd","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/typeerror-%e3%81%ae%e6%9c%80%e5%88%9d%e3%81%ae%e5%bc%95%e6%95%b0%e3%81%af-pandas-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ae%e5%8f%8d%e5%be%a9%e5%8f%af%e8%83%bd\/","title":{"rendered":"\u4fee\u6b63\u65b9\u6cd5: \u6700\u521d\u306e\u5f15\u6570\u306f pandas \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u53cd\u5fa9\u53ef\u80fd\u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\u300cdataframe\u300d\u578b\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u6e21\u3057\u307e\u3057\u305f\u3002"},"content":{"rendered":"

<\/p>\n

\n

Python \u306e\u4f7f\u7528\u6642\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u4e00\u822c\u7684\u306a\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n

 TypeError: first argument must be an iterable of pandas objects, you passed an object\n           of type \"DataFrame\"\n<\/strong><\/span><\/pre>\n
\u3053\u306e\u30a8\u30e9\u30fc\u306f\u901a\u5e38\u3001 concat()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001DataFrame \u540d\u3092\u304b\u3063\u3053\u3067\u56f2\u307e\u305a\u306b 2 \u3064\u306e pandas DataFrame \u3092\u8ffd\u52a0\u3057\u3088\u3046\u3068\u3057\u305f\u3068\u304d\u306b\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u30a8\u30e9\u30fc\u3092\u5b9f\u969b\u306b\u89e3\u6c7a\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u30a8\u30e9\u30fc\u3092\u518d\u73fe\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h2>\n
\u6b21\u306e 2 \u3064\u306e\u30d1\u30f3\u30c0 DataFrame \u304c\u3042\u308b\u3068\u4eee\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' x<\/span> ': [25, 14, 16, 27, 20,15, 14],\n                    ' y<\/span> ': [5, 7, 7, 5, 7, 6, 9],\n                    ' z<\/span> ': [8, 8, 10, 6, 6, 9, 6]})\n\nprint<\/span> (df1)\n\n    X Y Z\n0 25 5 8\n1 14 7 8\n2 16 7 10\n3 27 5 6\n4 20 7 6\n5 15 6 9\n6 14 9 6\n\n#create second DataFrame \n<\/span>df2 = pd. DataFrame<\/span> ({' x<\/span> ': [58, 60, 65],\n                    ' y<\/span> ': [14, 22, 23],\n                    ' z<\/span> ': [9, 12, 19]})\n\nprint<\/span> (df2)\n\n    X Y Z\n0 58 14 9\n1 60 22 12\n2 65 23 19\n<\/span><\/span><\/strong><\/pre>\n
\u3053\u3053\u3067\u3001 concat()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 2 \u3064\u306e DataFrame \u3092 1 \u3064\u306e DataFrame \u306b\u8ffd\u52a0\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 #attempt to add two DataFrames together\n<\/span>combined = pd. concat<\/span> (df1, df2, ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>print<\/span> (combined)\n\nTypeError: first argument must be an iterable of pandas objects, you passed an object<\/span>\nof type \"DataFrame\"\n<\/span><\/span><\/strong><\/pre>\n
 concat()<\/strong>\u95a2\u6570\u3067 DataFrame \u540d\u3092\u62ec\u5f27\u3067\u56f2\u3080\u306e\u306b\u5931\u6557\u3057\u305f\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h2>\n
\u3053\u306e\u30a8\u30e9\u30fc\u3092\u89e3\u6c7a\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306bconcat()<\/strong>\u95a2\u6570\u3067 DataFrame \u540d\u3092\u89d2\u304b\u3063\u3053\u3067\u56f2\u3080\u3060\u3051\u3067\u3059\u3002<\/span><\/p>\n
 #append two DataFrames together\n<\/span>combined = pd. concat<\/span> ([df1, df2], ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>print<\/span> (combined)\n\n    X Y Z\n0 25 5 8\n1 14 7 8\n2 16 7 10\n3 27 5 6\n4 20 7 6\n5 15 6 9\n6 14 9 6\n7 58 14 9\n8 60 22 12\n9 65 23 19<\/span><\/span><\/strong><\/pre>\n
\u4eca\u56de\u306f\u30a8\u30e9\u30fc\u306a\u304f 2 \u3064\u306e DataFrame \u3092\u6b63\u5e38\u306b\u7d50\u5408\u3067\u304d\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u306e\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Python \u3067\u4fee\u6b63\u3059\u308b\u65b9\u6cd5: \u30aa\u30d6\u30b8\u30a7\u30af\u30c8 ‘numpy.ndarray’ \u306f\u547c\u3073\u51fa\u3057\u53ef\u80fd\u3067\u306f\u3042\u308a\u307e\u305b\u3093<\/a>
\u4fee\u6b63\u65b9\u6cd5: TypeError: \u30aa\u30d6\u30b8\u30a7\u30af\u30c8 ‘numpy.float64’ \u306f\u547c\u3073\u51fa\u3057\u53ef\u80fd\u3067\u306f\u3042\u308a\u307e\u305b\u3093<\/a>
\u4fee\u6b63\u65b9\u6cd5: \u578b\u30a8\u30e9\u30fc: \u6587\u5b57\u5217\u307e\u305f\u306f\u30d0\u30a4\u30c8 \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u5fc5\u8981\u3067\u3059<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python \u306e\u4f7f\u7528\u6642\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u4e00\u822c\u7684\u306a\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 TypeError: first argument must be an iterable of pandas objects, you pa […]<\/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-3555","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\u4fee\u6b63\u65b9\u6cd5: \u6700\u521d\u306e\u5f15\u6570\u306f pandas \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u53cd\u5fa9\u53ef\u80fd\u3067\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\u3002\u300cDataFrame\u300d\u30bf\u30a4\u30d7\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u6e21\u3057\u307e\u3057\u305f - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u6b21\u306e\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002\u6700\u521d\u306e\u5f15\u6570\u306f pandas \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u53cd\u5fa9\u53ef\u80fd\u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u300cDataFrame\u300d\u30bf\u30a4\u30d7\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u6e21\u3057\u307e\u3057\u305f\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\/typeerror-\u306e\u6700\u521d\u306e\u5f15\u6570\u306f-pandas-\u30aa\u30d5\u3099\u30b7\u3099\u30a7\u30af\u30c8\u306e\u53cd\u5fa9\u53ef\u80fd\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4fee\u6b63\u65b9\u6cd5: \u6700\u521d\u306e\u5f15\u6570\u306f pandas \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u53cd\u5fa9\u53ef\u80fd\u3067\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\u3002\u300cDataFrame\u300d\u30bf\u30a4\u30d7\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u6e21\u3057\u307e\u3057\u305f - 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