{"id":971,"date":"2023-07-28T03:26:28","date_gmt":"2023-07-28T03:26:28","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e8%a4%87%e6%95%b0%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99-excel-%e3%82%b7%e3%83%bc%e3%83%88%e3%82%92%e7%b5%90%e5%90%88%e3%81%99%e3%82%8b\/"},"modified":"2023-07-28T03:26:28","modified_gmt":"2023-07-28T03:26:28","slug":"%e8%a4%87%e6%95%b0%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99-excel-%e3%82%b7%e3%83%bc%e3%83%88%e3%82%92%e7%b5%90%e5%90%88%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e8%a4%87%e6%95%b0%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99-excel-%e3%82%b7%e3%83%bc%e3%83%88%e3%82%92%e7%b5%90%e5%90%88%e3%81%99%e3%82%8b\/","title":{"rendered":"Pandas\u3067\u8907\u6570\u306eexcel\u30b7\u30fc\u30c8\u3092\u7d50\u5408\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u591a\u304f\u306e\u5834\u5408\u3001\u8907\u6570\u306e Excel \u30b7\u30fc\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u5358\u4e00\u306e pandas DataFrame \u306b\u7d50\u5408\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n

\u305f\u3068\u3048\u3070\u3001 data.xlsx<\/strong>\u3068\u3044\u3046\u6b21\u306e Excel \u30ef\u30fc\u30af\u30d6\u30c3\u30af\u304c\u3042\u308a\u30013 \u3064\u306e\u7570\u306a\u308b\u30b7\u30fc\u30c8\u306e\u3059\u3079\u3066\u306b\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u9078\u624b\u30c7\u30fc\u30bf\u306e 2 \u5217\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span> <\/p>\n

\"\"<\/p>\n

pandas concat()<\/strong>\u95a2\u6570\u3068read_excel()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u5404\u30b7\u30fc\u30c8\u3092\u5358\u4e00\u306e pandas DataFrame \u306b\u7c21\u5358\u306b\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u7d50\u5408\u3067\u304d\u307e\u3059\u304c\u3001\u307e\u305axlrd<\/strong>\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n

 pip install xlrd\n<\/strong><\/pre>\n
\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3089\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u308c\u3089 3 \u3064\u306e\u30b7\u30fc\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3001\u5358\u4e00\u306e Pandas DataFrame \u306b\u7d50\u5408\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 #load pandas library<\/span>\nimport<\/span> pandas as<\/span> pd\n\n#import and combine the three sheets into one pandas DataFrame<\/span><\/span>\ndf = pd. concat<\/span> (pd. read_excel<\/span> ('data.xlsx', sheet_name= None<\/span> ), ignore_index= True<\/span> )\n\n#view DataFrame\n<\/span><\/span>df\n\n        player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n10K 9\n11 L 5\n12 M 5\n13 N 13\n14 O 17\n<\/strong><\/pre>\n
\u3053\u306e\u30b3\u30fc\u30c9\u306f\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3059\u308b\u306e\u304b<\/strong><\/span><\/h3>\n
\u3053\u306e 1 \u884c\u306e\u30b3\u30fc\u30c9\u304c\u3069\u306e\u3088\u3046\u306b\u8907\u6570\u306e Excel \u30b7\u30fc\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u7d50\u5408\u3067\u304d\u308b\u304b\u3092\u7406\u89e3\u3059\u308b\u306b\u306f\u30012 \u3064\u306e\u90e8\u5206\u3060\u3051\u3067\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n
 1. \u3059\u3079\u3066\u306e\u30b7\u30fc\u30c8\u3092\u8aad\u307f\u307e\u3059\u3002<\/strong><\/span><\/p>\n
 p.d. read_excel<\/span> ('data.xlsx', sheet_name= None<\/span> )<\/strong><\/pre>\n
\u3053\u306e\u30b3\u30fc\u30c9\u306f\u3001Excel \u30ef\u30fc\u30af\u30d6\u30c3\u30af\u306e\u3059\u3079\u3066\u306e\u30b7\u30fc\u30c8\u3092\u8aad\u307f\u53d6\u308a\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001 read_excel()<\/strong>\u95a2\u6570\u306f\u6700\u521d\u306e\u30b7\u30fc\u30c8\u306e\u307f\u3092\u8aad\u307f\u53d6\u308a\u307e\u3059\u304c\u3001 sheet_name=None<\/strong>\u3092\u6307\u5b9a\u3059\u308b\u3068\u3001Excel \u30ef\u30fc\u30af\u30d6\u30c3\u30af\u5185\u306e\u5404\u30b7\u30fc\u30c8\u3092\u8aad\u307f\u53d6\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 2. \u3059\u3079\u3066\u306e\u30b7\u30fc\u30c8\u3092\u9023\u7d50\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n
 p.d. concat<\/span> ( DataFrames to concatenate<\/em><\/span> , ignore_index= True<\/span> )<\/strong><\/pre>\n
\u3053\u306e\u30b3\u30fc\u30c9\u90e8\u5206\u306f\u3001\u5404 Excel \u30b7\u30fc\u30c8\u306e\u3059\u3079\u3066\u306e DataFrame \u3092\u5358\u4e00\u306e pandas DataFrame \u306b\u5358\u7d14\u306b\u9023\u7d50\u3057\u307e\u3059\u3002 ignore_index=True<\/strong>\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u500b\u3005\u306e\u30ea\u30fc\u30d5\u540d\u306f\u91cd\u8981\u3067\u306f\u306a\u3044\u3053\u3068\u3092\u30d1\u30f3\u30c0\u306b\u4f1d\u3048\u307e\u3059\u3002<\/span><\/p>\n
\u3053\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404 Excel \u30b7\u30fc\u30c8\u306e\u5f62\u5f0f\u304c\u540c\u3058\u5834\u5408\u306b\u306e\u307f\u6a5f\u80fd\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3053\u306e\u4f8b\u3067\u306f\u3001\u5404\u30b7\u30fc\u30c8\u306b 2 \u3064\u306e\u30c7\u30fc\u30bf\u5217\u304c\u3042\u308a\u3001\u5404\u5217\u306f\u540c\u3058\u540d\u524d\u3092\u6301\u3063\u3066\u3044\u307e\u3057\u305f\u3002\u305d\u306e\u305f\u3081\u3001\u3053\u306e 1 \u884c\u306e\u30b3\u30fc\u30c9\u304c\u975e\u5e38\u306b\u7c21\u5358\u306b\u6a5f\u80fd\u3057\u3066\u3001\u5404 Excel \u30b7\u30fc\u30c8\u3092\u5358\u4e00\u306e pandas DataFrame \u306b\u7d50\u5408\u3067\u304d\u307e\u3057\u305f\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\u7a76\u6975\u30ac\u30a4\u30c9: Pandas \u3067 Excel \u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5<\/a>
\u8907\u6570\u306e Excel \u30b7\u30fc\u30c8\u306b\u307e\u305f\u304c\u308b Pandas DataFrame \u3092\u8a18\u8ff0\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u591a\u304f\u306e\u5834\u5408\u3001\u8907\u6570\u306e Excel \u30b7\u30fc\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u5358\u4e00\u306e pandas DataFrame \u306b\u7d50\u5408\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u305f\u3068\u3048\u3070\u3001 data.xlsx\u3068\u3044\u3046\u6b21\u306e Excel \u30ef\u30fc\u30af\u30d6\u30c3\u30af\u304c\u3042\u308a\u30013 \u3064\u306e\u7570\u306a\u308b\u30b7\u30fc\u30c8 […]<\/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-971","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas\u3067\u8907\u6570\u306eExcel\u30b7\u30fc\u30c8\u3092\u7d50\u5408\u3059\u308b\u65b9\u6cd5<\/title>\n<meta name=\"description\" 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