{"id":6830,"date":"2025-09-25T01:37:00","date_gmt":"2025-09-25T01:37:00","guid":{"rendered":"https:\/\/pokecon.jp\/job\/?p=6830"},"modified":"2025-09-25T01:37:00","modified_gmt":"2025-09-25T01:37:00","slug":"%e3%83%9e%e3%83%ab%e3%83%81%e3%82%a4%e3%83%b3%e3%83%87%e3%83%83%e3%82%af%e3%82%b9%e3%81%ae%e5%a4%89%e6%8f%9b%e3%81%ab%e5%af%be%e3%81%97%e3%81%a6%e5%80%a4%e3%81%ae%e6%95%b4%e5%90%88%e6%80%a7%e3%82%92","status":"publish","type":"post","link":"https:\/\/pokecon.jp\/job\/6830\/","title":{"rendered":"\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5909\u63db\u306b\u5bfe\u3057\u3066\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb &#8211; MOTEX TECH BLOG"},"content":{"rendered":"\n<\/p>\n<div>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-masuda\/20250912\/20250912105931.png\" alt=\"\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5909\u63db\u306b\u5bfe\u3057\u3066\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\" width=\"1900\" height=\"864\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><\/p>\n<p>\u3053\u3093\u306b\u3061\u306f\u3001\u54c1\u8cea\u7ba1\u7406\u90e8\u306e\u6c96\u3067\u3059\u3002<\/p>\n<p>OS \u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u9055\u3044\u306b\u304a\u3051\u308b\u88fd\u54c1\u3078\u306e\u5f71\u97ff\u3092\u8abf\u67fb\u30fb\u691c\u8a3c\u3059\u308b\u696d\u52d9\u306b\u304a\u3044\u3066\u3001\u8907\u6570\u306e\u89b3\u70b9\u306b\u3088\u308b\u6bd4\u8f03\u306e\u305f\u3081\u306b\u884c\u3068\u5217\u304c\u591a\u91cd\u306b\u306a\u3063\u305f\u8868\uff08\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u8868\uff09\u3092\u7528\u3044\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/06\/25\/173716\">\u8a18\u4e8b [1]<\/a> \u3067\u306f\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u8868\u3092\u52b9\u7387\u7684\u306b\u4f5c\u6210\u3059\u308b\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/12\/163419\">\u8a18\u4e8b [2]<\/a> \u3067\u306f\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5909\u63db\u306b\u5bfe\u3057\u3066\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064 2 \u7a2e\u306e\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u30a8\u30e0\u30aa\u30fc\u30c6\u30c3\u30af\u30b9\u793e\u5185\u306e AI \u30b5\u30fc\u30d3\u30b9\u3068\u76f8\u8ac7\u3057\u306a\u304c\u3089\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u305d\u308c\u305e\u308c\u3001\u5b9f\u88c5\u306e\u6240\u8981\u6642\u9593\u306f\u751f\u6210\u3068\u5fae\u8abf\u6574\u306730\u5206\u307b\u3069\u3067\u3059\u3002<\/p>\n<h2 id=\"\u30c4\u30fc\u30eb-1-\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u9593\u306e\u4ea4\u63db\u306b\u5bfe\u3059\u308b\u6574\u5408\u6027\u3092\u4fdd\u6301\">\u30c4\u30fc\u30eb 1: \u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u9593\u306e\u4ea4\u63db\u306b\u5bfe\u3059\u308b\u6574\u5408\u6027\u3092\u4fdd\u6301<\/h2>\n<p>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u304a\u3051\u308b\u8907\u6570\u306e\u884c\u3068\u5217\u305d\u308c\u305e\u308c\u3092 <strong>\u8ef8<\/strong> \u3068\u3088\u3073\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u4e0a\u8a18\u306e<a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/06\/25\/173716\">\u8a18\u4e8b [1]<\/a> \u3067\u4f5c\u6210\u3057\u305f\u8868\u306b\u5024\u3092\u66f8\u304d\u8fbc\u3093\u3060\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u5bfe\u3057\u3066\u3001<strong>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u304a\u3051\u308b\u305d\u308c\u305e\u308c\u306e\u8ef8\u540c\u58eb<\/strong> \u3068\u3001<strong>\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u540c\u58eb<\/strong> \u3092\u4ea4\u63db\u3057\u305f\u5834\u5408\u306b\u3082\u3001\u5165\u529b\u3057\u305f\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u6a5f\u80fd\u3068\u3057\u3066\u306f Excel \u56fa\u6709\u306e\u884c\u3068\u5217\u3092\u4ea4\u63db\u3057\u3066\u8cbc\u308a\u4ed8\u3051\u308b\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u4e00\u822c\u5316\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001\u8907\u6570\u5217\u306e\u3046\u3061\u4e00\u756a\u4e0b\u306e\u5217\u3068\u4e00\u756a\u4e0a\u306e\u5217\u3067\u7f6e\u304d\u63db\u3048\u308b\u3053\u3068\u3067\u3001\u8868\u793a\u3068\u3057\u3066\u5f37\u8abf\u3059\u308b\u9806\u756a\u3092\u4ea4\u63db\u3001\u8ef8\u5185\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ea4\u63db\u3001\u305d\u3057\u3066\u8907\u6570\u884c\u3068\u8907\u6570\u5217\u3092\u4ea4\u63db\u3059\u308b\u3053\u3068\u304c\u672c\u30c4\u30fc\u30eb\u3067\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001<strong>\u8ef8\u3068\u3057\u3066\u898f\u683c\u306b\u95a2\u3059\u308b\u5217\u3068 OS \u306b\u95a2\u3059\u308b\u5217<\/strong> \u3092\u4ea4\u63db\u3057\u3001<strong>OS \u306e\u8ef8\u5185\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u540c\u58eb<\/strong> \u3092\u4ea4\u63db\u3057\u307e\u3059 (\u56f3 1 \u3068 2 \u3092\u53c2\u7167)\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135219.png\" width=\"1200\" height=\"103\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 1. \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u4e0a\u304b\u3089 \u898f\u683c1, \u898f\u683c2; \u898f\u683c A, \u898f\u683cB; \u88fd\u54c1 A, \u88fd\u54c1B; OS1, OS2 \u306e\u9806\u756a\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135236.png\" width=\"1200\" height=\"103\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 2. \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u4e0a\u304b\u3089 OS2, OS1; \u898f\u683c1, \u898f\u683c2; \u898f\u683c A, \u898f\u683cB; \u88fd\u54c1 A, \u88fd\u54c1B \u306e\u9806\u756a\u3002<\/p>\n<h2 id=\"\u30c4\u30fc\u30eb-2-\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u306e\u76f8\u4e92\u5909\u63db\u306e\u6574\u5408\u6027\u3092\u4fdd\u6301\">\u30c4\u30fc\u30eb 2: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u306e\u76f8\u4e92\u5909\u63db\u306e\u6574\u5408\u6027\u3092\u4fdd\u6301<\/h2>\n<p>\u51fa\u529b\u5f62\u5f0f\u3067\u51fa\u529b\u3055\u308c\u305f\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30bb\u30df\u30b3\u30ed\u30f3 \u201c;\u201d \u533a\u5207\u308a\u3067\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u3057\u3001\u3055\u3089\u306b\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u9006\u5909\u63db\u3059\u308b\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b\uff09\u898f\u683c1;\u898f\u683cA;\u88fd\u54c1A;OS1<\/p>\n<h2 id=\"Excel-\u56fa\u6709\u306e\u6a5f\u80fd\">Excel \u56fa\u6709\u306e\u6a5f\u80fd<\/h2>\n<p>\u30fb\u8cbc\u308a\u4ed8\u3051\u30aa\u30d7\u30b7\u30e7\u30f3\u3067\u3001\u5024\u3092\u4fdd\u3063\u305f\u72b6\u614b\u3067\u884c\u3068\u5217\u306e\u8ef8\u3092\u4ea4\u63db\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135304.png\" width=\"902\" height=\"425\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 3. \u884c\u3068\u5217\u306e\u4ea4\u63db\u3002<\/p>\n<ul>\n<li>\u30bb\u30eb\u3092\u9078\u629e\u3057\u3066 Shift \u30ad\u30fc\u3092\u62bc\u3057\u306a\u304c\u3089\u30c9\u30e9\u30c3\u30b0\u3059\u308b\u3053\u3068\u3067\u3001\u5024\u3092\u4fdd\u3063\u305f\u72b6\u614b\u3067\u884c\u3068\u5217\u305d\u308c\u305e\u308c\u306e\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u5165\u308c\u66ff\u3048\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/li>\n<\/ul>\n<h2 id=\"\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\">\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb<\/h2>\n<ul>\n<li>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306f\u3001\u8907\u6570\u884c\u3068\u8907\u6570\u5217\u3092\u3082\u3061\u307e\u3059\u3002<\/li>\n<li>\u901a\u5e38\u306e\u884c\u3068\u5217\u3092\u3082\u3064\u8868\u3068\u540c\u69d8\u306b\u3001\u8ef8\u3092\u4ea4\u63db\u3057\u305f\u308a\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u76ee\u7684\u306b\u5fdc\u3058\u305f\u512a\u5148\u9806\u4f4d\u3067\u4e26\u3073\u66ff\u3048\u308b\u8981\u8acb\u3082\u81ea\u7136\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002<\/li>\n<\/ul>\n<h2 id=\"\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u306e\u6bd4\u8f03\">\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u306e\u6bd4\u8f03<\/h2>\n<ul>\n<li>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u30b7\u30f3\u30b0\u30eb\u306e\u65b9\u304c\u30de\u30eb\u30c1\u3088\u308a\u95a2\u4fc2\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u67a0\u7d44\u307f\u3067\u51e6\u7406\u3057\u3084\u3059\u3044\u3067\u3059\u3002<\/li>\n<li>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u30de\u30eb\u30c1\u306e\u65b9\u304c\u884c\u3068\u5217\u306e\u968e\u5c64\u69cb\u9020\u3092\u628a\u63e1\u3057\u3084\u3059\u3044\u3067\u3059\u3002<\/li>\n<\/ul>\n<ol>\n<li>\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u304c\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u5834\u5408\u3001\u76ee\u7684\u306b\u5fdc\u3058\u3066\u884c\u3068\u5217\u305d\u308c\u305e\u308c\u8907\u6570\u306e\u8ef8\u3001\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3001\u53ca\u3073\u30bb\u30eb\u306e\u5024\u306b\u95a2\u3059\u308b\u6574\u5408\u6027\u306e\u30c1\u30a7\u30c3\u30af\u306b\u306f\u624b\u52d5\u3060\u3068\u81a8\u5927\u306a\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002<\/li>\n<li>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u306e\u76f8\u4e92\u5909\u63db\u3082\u3001\u5909\u63db\u3068\u6574\u5408\u6027\u306e\u30c1\u30a7\u30c3\u30af\u306b\u306f\u624b\u52d5\u3060\u3068\u81a8\u5927\u306a\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002<\/li>\n<li>Excel \u306b\u304a\u3044\u3066\u4e0a\u8a18\u306e 2 \u7a2e\u306e\u5909\u63db\u3092\u6a5f\u80fd\u3068\u3057\u3066\u63d0\u4f9b\u306f\u3057\u3066\u304a\u308a\u307e\u305b\u3093\u3002<\/li>\n<\/ol>\n<p>\u6b21\u306b\u8a18\u8f09\u306e\u3088\u3046\u306a\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5177\u4f53\u4f8b\u3092\u8003\u3048\u307e\u3059\u3002<\/p>\n<p>\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9: \u300c\u5236\u5fa1 1\uff5e5\u300d\u306e 5 \u7a2e\u985e\u3001\u300c\u5236\u5fa1 A\uff5eE\u300d\u306e 5 \u7a2e\u985e\u3068\u3057\u305f\u3068\u304d\u30015 * 5 = 25 \u901a\u308a\u3002<br \/>\n\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9: \u300c\u6a5f\u7a2e\u7a2e\u5225\u03b1\u300d\u304c 5 \u7a2e\u985e\u3001\u300c\u6a5f\u7a2e\u7a2e\u5225\u03b2\u300d\u304c 5 \u7a2e\u985e\u3001\u300c\u88fd\u54c1\u306e\u7a2e\u5225\u300d\u304c 3 \u7a2e\u985e\u3001\u300cOS \u7a2e\u5225\u300d\u304c 2 \u7a2e\u985e\u3068\u3057\u305f\u3068\u304d\u30015 * 5 * 3 * 2 = 150 \u901a\u308a\u3002<\/p>\n<p>\u5408\u8a08 25 * 150 = 3750 \u500b\u306e\u30bb\u30eb\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306f\u3001\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u306b\u3088\u308a\u6574\u5408\u6027\u3092\u4fdd\u3064\u305f\u3081\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u5024\u306e\u66f8\u304d\u63db\u3048\u3001\u305d\u306e\u6574\u5408\u6027\u306e\u30c1\u30a7\u30c3\u30af\u306b\u306f\u624b\u52d5\u3067\u5b9f\u65bd\u3059\u308b\u3068 2 \u9031\u9593\u4ee5\u4e0a\u304b\u304b\u308b\u3068\u898b\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u306e\u76f8\u4e92\u5909\u63db\u3082\u540c\u69d8\u306e 2 \u9031\u9593\u4ee5\u4e0a\u304b\u304b\u308b\u3068\u898b\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n<h2 id=\"\u30c4\u30fc\u30eb-1-\u8ab2\u984c-1-\u3068-3-\u306e\u89e3\u6c7a\">\u30c4\u30fc\u30eb 1: \u8ab2\u984c 1 \u3068 3 \u306e\u89e3\u6c7a<\/h2>\n<p>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3044\u3066\u8ef8\u3068\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3001\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u5185\u3067\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ea4\u63db\u3057\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5185\u5bb9\u3092\u691c\u8a3c\u5f8c\u3001\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<p>\u307e\u305a\u3001\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3080\u3068\u3001\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u8aad\u307f\u8fbc\u3093\u3060\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u8868\u793a\u3055\u308c\u307e\u3059 (\u56f3 4, 5, 6\u3092\u53c2\u7167)\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135325.png\" width=\"1200\" height=\"526\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 4. \u30d5\u30a1\u30a4\u30eb\u8aad\u307f\u8fbc\u307f\u7b87\u6240\u3002\uff08\u672c\u753b\u50cf\u306f\u30c4\u30fc\u30eb\u306e\u753b\u9762\u30ad\u30e3\u30d7\u30c1\u30e3\u306e\u305f\u3081\u3001\u3054\u5229\u7528\u306f\u3067\u304d\u304b\u306d\u307e\u3059\u3002\uff09<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135656.png\" width=\"1200\" height=\"636\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 5. \u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u524d\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3002\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3068\u81ea\u52d5\u7684\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002\uff08\u672c\u753b\u50cf\u306f\u30c4\u30fc\u30eb\u306e\u753b\u9762\u30ad\u30e3\u30d7\u30c1\u30e3\u306e\u305f\u3081\u3001\u3054\u5229\u7528\u306f\u3067\u304d\u304b\u306d\u307e\u3059\u3002\uff09<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135411.png\" width=\"1200\" height=\"282\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 6. \u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u524d\u306e\u8868\u3002<\/p>\n<p>\u6b21\u306b\u3001\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ea4\u63db\u3057\u307e\u3059\u3002 (\u56f3 7, 8\u3092\u53c2\u7167)\u3002\u30dc\u30bf\u30f3\u300c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u691c\u8a3c\u300d\u3092\u62bc\u4e0b\u3059\u308b\u3053\u3068\u3067\u3001\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u904e\u4e0d\u8db3\u304c\u306a\u3044\u3053\u3068\u3092\u691c\u8a3c\u3057\u3001\u6700\u5f8c\u306b\u30dc\u30bf\u30f3\u300c\u65b0\u3057\u3044Excel\u30d5\u30a1\u30a4\u30eb\u3092\u751f\u6210\u300d\u3092\u62bc\u4e0b\u3059\u308b\u3053\u3068\u3067\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135430.png\" width=\"801\" height=\"422\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 7. \u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u5f8c\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3002\u8ef8\u5185\u306b\u3064\u3044\u3066\u3001\u300c\u5236\u5fa1A, \u5236\u5fa1B, \u5236\u5fa1C\u300d\u3092\u300c\u5236\u5fa1A, \u5236\u5fa1C, \u5236\u5fa1B\u300d\u306b\u5165\u308c\u66ff\u3048\u3066\u3044\u307e\u3059\u3002\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u4fee\u6b63\u5f8c\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u5165\u529b\u3057\u305f\u5f8c\u306b\u3001\u300c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u691c\u8a3c\u300d\u30dc\u30bf\u30f3\u3092\u62bc\u4e0b\u3057\u3001\u300c\u65b0\u3057\u3044Excel\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u300d\u30dc\u30bf\u30f3\u3092\u62bc\u4e0b\u3057\u307e\u3059\u3002\uff08\u672c\u753b\u50cf\u306f\u30c4\u30fc\u30eb\u306e\u753b\u9762\u30ad\u30e3\u30d7\u30c1\u30e3\u306e\u305f\u3081\u3001\u3054\u5229\u7528\u306f\u3067\u304d\u304b\u306d\u307e\u3059\u3002\uff09<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135444.png\" width=\"1200\" height=\"371\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 8. \u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u5f8c\u306e\u8868\u3002<\/p>\n<h3 id=\"\u88dc\u8db3\">\u88dc\u8db3<\/h3>\n<p>\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3001\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u306e\u8ef8\u3092\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u306e\u6b21\u5143\u3092\u914d\u5206\u3057\u3066\u81ea\u7531\u306b\u5165\u308c\u66ff\u3048\u308b\u3053\u3068\u3067\u30a4\u30e1\u30fc\u30b8\u3092\u63b4\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059 (\u56f3 9 \u3092\u53c2\u7167)\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250818\/20250818135456.png\" width=\"1200\" height=\"303\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 9. \u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u306b\u3088\u308b\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3002\u4f8b\u3048\u3070\u3001\u4ea4\u63db\u524d\u5f8c\u306e\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u6b21\u5143\u3068\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u7dcf\u548c\u306f 2 + 4 = 3 + 3 \u3067\u7b49\u3057\u3044\u3067\u3059\u3002\u81ea\u7531\u306b\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u306e\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ea4\u63db\u3059\u308b\u30a4\u30e1\u30fc\u30b8\u3067\u3059\u3002<\/p>\n<h3 id=\"\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\">\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n<span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> numpy <span class=\"synStatement\">as<\/span> np\n<span class=\"synPreProc\">import<\/span> io\n<span class=\"synPreProc\">import<\/span> itertools\n<span class=\"synPreProc\">from<\/span> collections <span class=\"synPreProc\">import<\/span> Counter\n\n\n\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">auto_detect_levels<\/span>(filename, max_levels=<span class=\"synConstant\">5<\/span>):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    Excel \u30d5\u30a1\u30a4\u30eb\uff08pandas \u306e to_excel \u51fa\u529b\u5f62\u5f0f\u30fb\u30b7\u30fc\u30c8\u540d \"MultiIndex\"\uff09\u304b\u3089\u3001<\/span>\n<span class=\"synConstant\">    \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08ROW_INDEX_LEVELS\uff09\u304a\u3088\u3073<\/span>\n<span class=\"synConstant\">    \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08COL_INDEX_LEVELS\uff09\u3092\u81ea\u52d5\u691c\u51fa\u3057\u307e\u3059\u3002<\/span>\n\n<span class=\"synConstant\">    pd.read_excel \u3092\u7528\u3044\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u540d\u304c \"A\u2026\"\uff08\u884c\u5074\uff09\u304a\u3088\u3073 \"B\u2026\"\uff08\u5217\u5074\uff09\u3067\u59cb\u307e\u308b\u3082\u306e\u3092\u63a1\u7528\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u898b\u3064\u304b\u3063\u305f\u7d44\u307f\u5408\u308f\u305b (row_levels, col_levels) \u3068 DataFrame \u3092\u8fd4\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">for<\/span> row_levels <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, max_levels+<span class=\"synConstant\">1<\/span>):\n        <span class=\"synStatement\">for<\/span> col_levels <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, max_levels+<span class=\"synConstant\">1<\/span>):\n            <span class=\"synStatement\">try<\/span>:\n                df_try = pd.read_excel(\n                    filename, \n                    header=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(col_levels)),\n                    index_col=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(row_levels)),\n                    engine=<span class=\"synConstant\">\"openpyxl\"<\/span>\n                )\n                idx_names = df_try.index.names\n                col_names = df_try.columns.names\n                <span class=\"synStatement\">if<\/span> (<span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(<span class=\"synConstant\">\"A\"<\/span>) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> idx_names)\n                    <span class=\"synStatement\">and<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(<span class=\"synConstant\">\"B\"<\/span>) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> col_names)):\n                    <span class=\"synStatement\">return<\/span> row_levels, col_levels, df_try\n            <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span>:\n                <span class=\"synStatement\">continue<\/span>\n    <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u304b\u3089 MultiIndex \u306e\u30ec\u30d9\u30eb\u6570\u3092\u81ea\u52d5\u691c\u51fa\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n\n\n\n\nst.title(<span class=\"synConstant\">\"\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3044\u3066\u8ef8\u3068\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\"<\/span>)\nuploaded_file = st.file_uploader(<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>], key=<span class=\"synConstant\">\"uploader\"<\/span>)\n<span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n    <span class=\"synStatement\">try<\/span>:\n        \n        row_levels_auto, col_levels_auto, df_loaded = auto_detect_levels(uploaded_file, max_levels=<span class=\"synConstant\">5<\/span>)\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        st.error(f<span class=\"synConstant\">\"\u81ea\u52d5\u691c\u51fa\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n    <span class=\"synStatement\">else<\/span>:\n        st.markdown(f<span class=\"synConstant\">\"\u81ea\u52d5\u691c\u51fa\u3055\u308c\u305f\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff1a{row_levels_auto}\u3001\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff1a{col_levels_auto}\"<\/span>)\n        \n        \n        original_row_levels = [<span class=\"synIdentifier\">list<\/span>(df_loaded.index.levels[i]) <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(df_loaded.index.nlevels)]\n        original_col_levels = [<span class=\"synIdentifier\">list<\/span>(df_loaded.columns.levels[i]) <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(df_loaded.columns.nlevels)]\n        \n        \n        st.session_state[<span class=\"synConstant\">'orig_row_levels'<\/span>] = original_row_levels\n        st.session_state[<span class=\"synConstant\">'orig_col_levels'<\/span>] = original_col_levels\n        \n        \n        default_text_rows = <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>.join([<span class=\"synConstant\">\", \"<\/span>.join(level) <span class=\"synStatement\">for<\/span> level <span class=\"synStatement\">in<\/span> original_row_levels])\n        default_text_cols = <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>.join([<span class=\"synConstant\">\", \"<\/span>.join(level) <span class=\"synStatement\">for<\/span> level <span class=\"synStatement\">in<\/span> original_col_levels])\n        \n        st.markdown(<span class=\"synConstant\">\"### \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u7de8\u96c6\"<\/span>)\n        st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">\u3010\u4f8b\u3011  <\/span>\n<span class=\"synConstant\">\u25a0 \u4ea4\u63db\u524d  <\/span>\n<span class=\"synConstant\">\u3010\u884c\u3011  <\/span>\n<span class=\"synConstant\">\u5236\u5fa11, \u5236\u5fa12, \u5236\u5fa13  <\/span>\n<span class=\"synConstant\">\u5236\u5fa1A, \u5236\u5fa1B, \u5236\u5fa1C  <\/span>\n\n<span class=\"synConstant\">\u3010\u5217\u3011  <\/span>\n<span class=\"synConstant\">\u898f\u683c1, \u898f\u683c2  <\/span>\n<span class=\"synConstant\">\u898f\u683cA, \u898f\u683cB  <\/span>\n<span class=\"synConstant\">\u88fd\u54c1A, \u88fd\u54c1B  <\/span>\n<span class=\"synConstant\">OS1, OS2  <\/span>\n\n<span class=\"synConstant\">\u25a0 \u4ea4\u63db\u5f8c\uff08\u8ef8\u540c\u58eb\u306e\u4ea4\u63db\u3068\u8ef8\u5185\u306e\u4e26\u3073\u66ff\u3048\uff09  <\/span>\n<span class=\"synConstant\">\u3010\u884c\u3011  <\/span>\n<span class=\"synConstant\">\u5236\u5fa11, \u5236\u5fa12, \u5236\u5fa13  <\/span>\n\n<span class=\"synConstant\">\u3010\u5217\u3011  <\/span>\n<span class=\"synConstant\">\u898f\u683c1, \u898f\u683c2  <\/span>\n<span class=\"synConstant\">\u898f\u683cA, \u898f\u683cB  <\/span>\n<span class=\"synConstant\">\u88fd\u54c1B, \u88fd\u54c1A  <\/span>\n<span class=\"synConstant\">OS1, OS2  <\/span>\n<span class=\"synConstant\">\u5236\u5fa1A, \u5236\u5fa1B, \u5236\u5fa1C<\/span>\n<span class=\"synConstant\">\"\"\"<\/span>)\n        new_row_text = st.text_area(<span class=\"synConstant\">\"\u7de8\u96c6\u53ef\u80fd\u306a \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08\u5404\u30ec\u30d9\u30eb\u3092\u6539\u884c\uff09\"<\/span>, value=default_text_rows, key=<span class=\"synConstant\">\"row_text\"<\/span>)\n        new_col_text = st.text_area(<span class=\"synConstant\">\"\u7de8\u96c6\u53ef\u80fd\u306a \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08\u5404\u30ec\u30d9\u30eb\u3092\u6539\u884c\uff09\"<\/span>, value=default_text_cols, key=<span class=\"synConstant\">\"col_text\"<\/span>)\n        \n        \n        <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"validated\"<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synStatement\">in<\/span> st.session_state:\n            st.session_state.validated = <span class=\"synIdentifier\">False<\/span>\n        \n        \n        <span class=\"synStatement\">if<\/span> st.button(<span class=\"synConstant\">\"\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u691c\u8a3c\"<\/span>, key=<span class=\"synConstant\">\"validate_button\"<\/span>):\n            \n            new_rows_levels = [\n                [token.strip() <span class=\"synStatement\">for<\/span> token <span class=\"synStatement\">in<\/span> line.split(<span class=\"synConstant\">\",\"<\/span>) <span class=\"synStatement\">if<\/span> token.strip()]\n                <span class=\"synStatement\">for<\/span> line <span class=\"synStatement\">in<\/span> new_row_text.splitlines() <span class=\"synStatement\">if<\/span> line.strip()\n            ]\n            new_cols_levels = [\n                [token.strip() <span class=\"synStatement\">for<\/span> token <span class=\"synStatement\">in<\/span> line.split(<span class=\"synConstant\">\",\"<\/span>) <span class=\"synStatement\">if<\/span> token.strip()]\n                <span class=\"synStatement\">for<\/span> line <span class=\"synStatement\">in<\/span> new_col_text.splitlines() <span class=\"synStatement\">if<\/span> line.strip()\n            ]\n            \n            valid = <span class=\"synIdentifier\">True<\/span>\n            \n            orig_total_levels = st.session_state[<span class=\"synConstant\">'orig_row_levels'<\/span>] + st.session_state[<span class=\"synConstant\">'orig_col_levels'<\/span>]\n            new_total_levels = new_rows_levels + new_cols_levels\n            \n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(new_total_levels) != <span class=\"synIdentifier\">len<\/span>(orig_total_levels):\n                st.warning(f<span class=\"synConstant\">\"\u5168\u4f53\u306e\u8ef8\/\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\u304c\u5909\u66f4\u3055\u308c\u3066\u3044\u307e\u3059\uff08\u5143\u306f {len(orig_total_levels)} \u30ec\u30d9\u30eb\uff09\u3002\"<\/span>)\n                valid = <span class=\"synIdentifier\">False<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                \n                orig_levels_counter = Counter(<span class=\"synIdentifier\">frozenset<\/span>(level) <span class=\"synStatement\">for<\/span> level <span class=\"synStatement\">in<\/span> orig_total_levels)\n                new_levels_counter = Counter(<span class=\"synIdentifier\">frozenset<\/span>(level) <span class=\"synStatement\">for<\/span> level <span class=\"synStatement\">in<\/span> new_total_levels)\n                <span class=\"synStatement\">if<\/span> orig_levels_counter != new_levels_counter:\n                    st.warning(<span class=\"synConstant\">\"\u65b0\u3057\u3044\u8ef8\u30fb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30e9\u30d9\u30eb\u304c\u3001\u5143\u306e\u3082\u306e\u3068\u4e00\u81f4\u3057\u3066\u3044\u307e\u305b\u3093\u3002\"<\/span>)\n                    valid = <span class=\"synIdentifier\">False<\/span>\n            \n            <span class=\"synStatement\">if<\/span> valid:\n                st.success(<span class=\"synConstant\">\"\u691c\u8a3c\u5b8c\u4e86\u3057\u307e\u3057\u305f\u3002\"<\/span>)\n                st.session_state.validated = <span class=\"synIdentifier\">True<\/span>\n                st.session_state.new_rows_levels = new_rows_levels\n                st.session_state.new_cols_levels = new_cols_levels\n            <span class=\"synStatement\">else<\/span>:\n                st.error(<span class=\"synConstant\">\"\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u691c\u8a3c\u306b\u5931\u6557\u3057\u307e\u3057\u305f\u3002\u5143\u306e\u30e9\u30d9\u30eb\u3068\u540c\u4e00\u306e\u30e9\u30d9\u30eb\u306e\u307f\uff08\u8ef8\u9593\u306e\u5165\u308c\u66ff\u3048\u304a\u3088\u3073\u8ef8\u5185\u306e\u5165\u308c\u66ff\u3048\u306f\u53ef\uff09\u3068\u306a\u308b\u3088\u3046\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span>)\n                st.session_state.validated = <span class=\"synIdentifier\">False<\/span>\n        \n        \n        <span class=\"synStatement\">if<\/span> st.button(<span class=\"synConstant\">\"\u65b0\u3057\u3044Excel\u30d5\u30a1\u30a4\u30eb\u3092\u751f\u6210\"<\/span>, key=<span class=\"synConstant\">\"create_excel\"<\/span>):\n            <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> st.session_state.get(<span class=\"synConstant\">\"validated\"<\/span>, <span class=\"synIdentifier\">False<\/span>):\n                st.error(<span class=\"synConstant\">\"\u307e\u305a\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u306e\u691c\u8a3c\u3092\u884c\u3063\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span>)\n            <span class=\"synStatement\">else<\/span>:\n                <span class=\"synStatement\">try<\/span>:\n                    \n                    new_row_index = pd.MultiIndex.from_product(\n                        st.session_state.new_rows_levels, \n                        names=[f<span class=\"synConstant\">\"A{i+1}\"<\/span> <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synIdentifier\">len<\/span>(st.session_state.new_rows_levels))]\n                    )\n                    new_col_index = pd.MultiIndex.from_product(\n                        st.session_state.new_cols_levels, \n                        names=[f<span class=\"synConstant\">\"B{i+1}\"<\/span> <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synIdentifier\">len<\/span>(st.session_state.new_cols_levels))]\n                    )\n                <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n                    st.error(f<span class=\"synConstant\">\"MultiIndex \u306e\u518d\u69cb\u7bc9\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n                    st.stop()\n\n                \n                total_cells = df_loaded.shape[<span class=\"synConstant\">0<\/span>] * df_loaded.shape[<span class=\"synConstant\">1<\/span>]\n                new_total = <span class=\"synIdentifier\">len<\/span>(new_row_index) * <span class=\"synIdentifier\">len<\/span>(new_col_index)\n                <span class=\"synStatement\">if<\/span> total_cells != new_total:\n                    st.error(f<span class=\"synConstant\">\"\u518d\u69cb\u7bc9\u3055\u308c\u305f\u8ef8\u306e\u7dcf\u8981\u7d20\u6570 ({new_total}) \u304c\u5143\u30c7\u30fc\u30bf\u30bb\u30eb\u6570 ({total_cells}) \u3068\u4e00\u81f4\u3057\u307e\u305b\u3093\u3002\"<\/span>)\n                    st.stop()\n                \n                \n                \n                \n                old_mapping = {}\n                <span class=\"synStatement\">for<\/span> r_key, row_vals <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">zip<\/span>(df_loaded.index, df_loaded.values):\n                    <span class=\"synStatement\">for<\/span> c_key, cell <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">zip<\/span>(df_loaded.columns, row_vals):\n                        full_key = <span class=\"synIdentifier\">tuple<\/span>(r_key) + <span class=\"synIdentifier\">tuple<\/span>(c_key)\n                        canon = <span class=\"synIdentifier\">tuple<\/span>(<span class=\"synIdentifier\">sorted<\/span>(full_key))\n                        old_mapping[canon] = cell\n                \n                \n                \n                new_data = []\n                <span class=\"synStatement\">for<\/span> r_key <span class=\"synStatement\">in<\/span> new_row_index:\n                    row_vals = []\n                    <span class=\"synStatement\">for<\/span> c_key <span class=\"synStatement\">in<\/span> new_col_index:\n                        new_full = <span class=\"synIdentifier\">tuple<\/span>(r_key) + <span class=\"synIdentifier\">tuple<\/span>(c_key)\n                        canon_new = <span class=\"synIdentifier\">tuple<\/span>(<span class=\"synIdentifier\">sorted<\/span>(new_full))\n                        \n                        value = old_mapping.get(canon_new, <span class=\"synIdentifier\">None<\/span>)\n                        row_vals.append(value)\n                    new_data.append(row_vals)\n                \n                df_new = pd.DataFrame(new_data, index=new_row_index, columns=new_col_index)\n                \n                st.subheader(<span class=\"synConstant\">\"\u66f4\u65b0\u3055\u308c\u305f DataFrame\"<\/span>)\n                st.dataframe(df_new)\n                \n                output2 = io.BytesIO()\n                <span class=\"synStatement\">with<\/span> pd.ExcelWriter(output2, engine=<span class=\"synConstant\">\"xlsxwriter\"<\/span>) <span class=\"synStatement\">as<\/span> writer:\n                    \n                    df_new.to_excel(writer, sheet_name=<span class=\"synConstant\">\"MultiIndex\"<\/span>)\n                output2.seek(<span class=\"synConstant\">0<\/span>)\n                st.download_button(\n                    label=<span class=\"synConstant\">\"\u66f4\u65b0\u3055\u308c\u305fExcel\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n                    data=output2,\n                    file_name=<span class=\"synConstant\">\"reconfigured_multi_index.xlsx\"<\/span>,\n                    mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n                )\n<\/pre>\n<h2 id=\"\u30c4\u30fc\u30eb-2-\u8ab2\u984c-2-\u3068-3-\u306e\u89e3\u6c7a\">\u30c4\u30fc\u30eb 2: \u8ab2\u984c 2 \u3068 3 \u306e\u89e3\u6c7a<\/h2>\n<p>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u3092\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u4e0a\u8a18\u306e\u30c4\u30fc\u30eb 1 \u306e\u4f8b\u3067\u7528\u3044\u305f \u56f3 5 \u306f\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3067\u3059\u3002<br \/>\n\u56f3 10 \u306f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30de\u30eb\u30c1\u304b\u3089\u30b7\u30f3\u30b0\u30eb\u306b\u5909\u63db\u3057\u305f\u3082\u306e\u3067\u3059\u3002<br \/>\n\u56f3 11 \u306f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30b7\u30f3\u30b0\u30eb\u304b\u3089\u30de\u30eb\u30c1\u306b\u5909\u63db\u3057\u305f\u3082\u306e\u3067\u3059\u3002\u56f31 \u3068\u540c\u3058\u3082\u306e\u304c\u5f97\u3089\u308c\u3001\u76f8\u4e92\u5909\u63db\u304c\u53ef\u80fd\u306a\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250925\/20250925101405.png\" width=\"1200\" height=\"227\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 10 \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30de\u30eb\u30c1\u304b\u3089\u30b7\u30f3\u30b0\u30eb\u306b\u5909\u63db\u3057\u305f\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250925\/20250925101426.png\" width=\"1200\" height=\"303\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 11 \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30b7\u30f3\u30b0\u30eb\u304b\u3089\u518d\u5ea6\u30de\u30eb\u30c1\u306b\u5909\u63db\u3057\u305f\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb<\/p>\n<h3 id=\"\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9-1\">\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n<span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> io\n\nst.title(<span class=\"synConstant\">\"\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30de\u30eb\u30c1\u3068\u30b7\u30f3\u30b0\u30eb\u3067\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb\"<\/span>)\nst.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">\u3053\u306e\u30a2\u30d7\u30ea\u3067\u306f\u4ee5\u4e0b 2 \u3064\u306e\u5909\u63db\u304c\u53ef\u80fd\u3067\u3059\u3002  <\/span>\n<span class=\"synConstant\">1. MultiIndex \u2192 SingleIndex  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u30fb\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u306e\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f \"A1\", \"A2\", \u2026\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f \"B1\", \"B2\", \u2026 \u3068\u306a\u3063\u3066\u3044\u308b\u5834\u5408\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u5404\u968e\u5c64\u306e\u5024\u3092\u30bb\u30df\u30b3\u30ed\u30f3 (;) \u3067\u9023\u7d50\u3057\u3001\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u5909\u63db\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">2. SingleIndex \u2192 MultiIndex  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u30fb\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u306e\u884c\u30fb\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u5404\u968e\u5c64\u306e\u5024\u3092\u30bb\u30df\u30b3\u30ed\u30f3 (;) \u3067\u533a\u5207\u3063\u305f\u6587\u5b57\u5217\u306b\u306a\u3063\u3066\u3044\u308b\u5834\u5408\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u305d\u308c\u3089\u3092\u5206\u5272\u3057\u3066 MultiIndex \u306b\u5fa9\u5143\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">\"\"\"<\/span>)\n\nconversion_mode = st.radio(<span class=\"synConstant\">\"\u5909\u63db\u30e2\u30fc\u30c9\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, \n                           [<span class=\"synConstant\">\"MultiIndex \u2192 SingleIndex\"<\/span>, <span class=\"synConstant\">\"SingleIndex \u2192 MultiIndex\"<\/span>])\n\n\n\n\n<span class=\"synStatement\">if<\/span> conversion_mode == <span class=\"synConstant\">\"MultiIndex \u2192 SingleIndex\"<\/span>:\n    st.header(<span class=\"synConstant\">\"MultiIndex \u2192 SingleIndex \u5909\u63db\"<\/span>)\n    st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u203b \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b Excel \u30d5\u30a1\u30a4\u30eb\u306f\u3001streamlit \u30a2\u30d7\u30ea\u3067\u51fa\u529b\u3055\u308c\u305f\u3082\u306e\u3067\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u524d\u304c \"A1\", \"A2\", \u2026\u3001\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u524d\u304c \"B1\", \"B2\", \u2026  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u3068\u306a\u3063\u3066\u3044\u308b\u524d\u63d0\u3067\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>)\n    uploaded_file = st.file_uploader(<span class=\"synConstant\">\"MultiIndex \u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>])\n    <span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        \n        <span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">auto_detect_levels<\/span>(<span class=\"synIdentifier\">file<\/span>, max_levels=<span class=\"synConstant\">5<\/span>):\n            <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">            \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u304b\u3089\u3001  <\/span>\n<span class=\"synConstant\">            \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08ROW_INDEX_LEVELS\uff09\u304a\u3088\u3073  <\/span>\n<span class=\"synConstant\">            \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08COL_INDEX_LEVELS\uff09\u3092\u81ea\u52d5\u691c\u51fa\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">            \u5404\u8a66\u884c\u3067 pd.read_excel \u3092 header \u3068 index_col \u306b\u30ea\u30b9\u30c8\uff080\uff5e\u30ec\u30d9\u30eb\u6570-1\uff09\u3092\u6307\u5b9a\u3057\u3001  <\/span>\n<span class=\"synConstant\">            \u5f97\u3089\u308c\u305f index.names \/ columns.names \u304c\u305d\u308c\u305e\u308c \"A\u2026\" \u304a\u3088\u3073 \"B\u2026\" \u3067\u59cb\u307e\u308b\u5834\u5408\u306b\u63a1\u7528\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">            \"\"\"<\/span>\n            <span class=\"synStatement\">for<\/span> row_levels <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, max_levels + <span class=\"synConstant\">1<\/span>):\n                <span class=\"synStatement\">for<\/span> col_levels <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, max_levels + <span class=\"synConstant\">1<\/span>):\n                    <span class=\"synStatement\">try<\/span>:\n                        <span class=\"synIdentifier\">file<\/span>.seek(<span class=\"synConstant\">0<\/span>)  \n                        df_try = pd.read_excel(\n                            <span class=\"synIdentifier\">file<\/span>,\n                            header=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(col_levels)),\n                            index_col=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(row_levels)),\n                            engine=<span class=\"synConstant\">\"openpyxl\"<\/span>\n                        )\n                        idx_names = df_try.index.names\n                        col_names = df_try.columns.names\n                        <span class=\"synStatement\">if<\/span> (<span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(<span class=\"synConstant\">\"A\"<\/span>) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> idx_names)\n                            <span class=\"synStatement\">and<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(<span class=\"synConstant\">\"B\"<\/span>) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> col_names)):\n                            <span class=\"synStatement\">return<\/span> row_levels, col_levels, df_try\n                    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span>:\n                        <span class=\"synStatement\">continue<\/span>\n            <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u304b\u3089 MultiIndex \u306e\u30ec\u30d9\u30eb\u6570\u3092\u81ea\u52d5\u691c\u51fa\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n        \n        <span class=\"synStatement\">try<\/span>:\n            row_levels, col_levels, df = auto_detect_levels(uploaded_file)\n            st.success(f<span class=\"synConstant\">\"MultiIndex \u306e\u30ec\u30d9\u30eb\u81ea\u52d5\u691c\u51fa\u306b\u6210\u529f\uff01 \u884c\u5074: {row_levels} \u5c64\u3001\u5217\u5074: {col_levels} \u5c64\"<\/span>)\n        <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n            st.error(f<span class=\"synConstant\">\"MultiIndex \u306e\u30ec\u30d9\u30eb\u81ea\u52d5\u691c\u51fa\u306b\u5931\u6557\u3057\u307e\u3057\u305f\uff1a{e}\"<\/span>)\n            st.stop()\n        \n        st.subheader(<span class=\"synConstant\">\"\u8aad\u307f\u8fbc\u3093\u3060 DataFrame (MultiIndex)\"<\/span>)\n        st.dataframe(df)\n\n        \n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(df.index, pd.MultiIndex):\n            df.index = df.index.map(<span class=\"synStatement\">lambda<\/span> x: <span class=\"synConstant\">\";\"<\/span>.join(<span class=\"synIdentifier\">str<\/span>(item) <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> x))\n        <span class=\"synStatement\">else<\/span>:\n            df.index = df.index.astype(<span class=\"synIdentifier\">str<\/span>)\n        \n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(df.columns, pd.MultiIndex):\n            df.columns = df.columns.map(<span class=\"synStatement\">lambda<\/span> x: <span class=\"synConstant\">\";\"<\/span>.join(<span class=\"synIdentifier\">str<\/span>(item) <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> x))\n        <span class=\"synStatement\">else<\/span>:\n            df.columns = df.columns.astype(<span class=\"synIdentifier\">str<\/span>)\n        \n        st.subheader(<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e DataFrame (SingleIndex)\"<\/span>)\n        st.dataframe(df)\n        \n        output = io.BytesIO()\n        <span class=\"synStatement\">with<\/span> pd.ExcelWriter(output, engine=<span class=\"synConstant\">\"xlsxwriter\"<\/span>) <span class=\"synStatement\">as<\/span> writer:\n            df.to_excel(writer, index=<span class=\"synIdentifier\">True<\/span>, sheet_name=<span class=\"synConstant\">\"Converted\"<\/span>)\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        \n        st.download_button(\n            label=<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"converted_single_index.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n\n\n\n\n<span class=\"synStatement\">elif<\/span> conversion_mode == <span class=\"synConstant\">\"SingleIndex \u2192 MultiIndex\"<\/span>:\n    st.header(<span class=\"synConstant\">\"SingleIndex \u2192 MultiIndex \u5909\u63db\"<\/span>)\n    st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u308b Excel \u30d5\u30a1\u30a4\u30eb\u306f\u3001\u65e2\u306b\u884c\u30fb\u5217\u3068\u3082\u306b\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u306a\u3063\u3066\u304a\u308a\u3001  <\/span>\n<span class=\"synConstant\">    \u5404\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u6587\u5b57\u5217\u306f\u30bb\u30df\u30b3\u30ed\u30f3 (;) \u3067\u5404\u968e\u5c64\u306e\u5024\u304c\u533a\u5207\u3089\u308c\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">    \u3053\u306e\u5909\u63db\u3067\u306f\u3001\u5404\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30bb\u30df\u30b3\u30ed\u30f3\u3067\u5206\u5272\u3057\u3001\u5143\u306e MultiIndex \u306b\u623b\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">    \u203b \u884c\u5074\u306e MultiIndex \u306e\u5404\u968e\u5c64\u540d\u306f\u81ea\u52d5\u7684\u306b \"A1\", \"A2\", \u2026\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u5217\u5074\u306f \"B1\", \"B2\", \u2026 \u3068\u3057\u3066\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>)\n    uploaded_file = st.file_uploader(<span class=\"synConstant\">\"\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>], key=<span class=\"synConstant\">\"single_to_multi\"<\/span>)\n    <span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">try<\/span>:\n            \n            df = pd.read_excel(uploaded_file, index_col=<span class=\"synConstant\">0<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>)\n        <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n            st.error(f<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f\uff1a{e}\"<\/span>)\n            st.stop()\n        \n        st.subheader(<span class=\"synConstant\">\"\u8aad\u307f\u8fbc\u3093\u3060 DataFrame (SingleIndex)\"<\/span>)\n        st.dataframe(df)\n\n        <span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">single_to_multi<\/span>(df):\n            <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">            DataFrame \u306e\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30fb\u5217\u540d\u304c\u30b7\u30f3\u30b0\u30eb index \u3067\u3001  <\/span>\n<span class=\"synConstant\">            \u5404\u8981\u7d20\u304c\u30bb\u30df\u30b3\u30ed\u30f3 (;) \u3067\u533a\u5207\u3089\u308c\u305f\u6587\u5b57\u5217\u306b\u306a\u3063\u3066\u3044\u308b\u5834\u5408\u3001  <\/span>\n<span class=\"synConstant\">            \u305d\u308c\u3089\u3092\u5206\u5272\u3057\u3066 MultiIndex \u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">            \"\"\"<\/span>\n            \n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(df.index) &gt; <span class=\"synConstant\">0<\/span>:\n                first_row = <span class=\"synIdentifier\">str<\/span>(df.index[<span class=\"synConstant\">0<\/span>])\n                row_levels = first_row.count(<span class=\"synConstant\">\";\"<\/span>) + <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                row_levels = <span class=\"synConstant\">1<\/span>\n            new_index = []\n            <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> df.index:\n                parts = [part.strip() <span class=\"synStatement\">for<\/span> part <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">str<\/span>(item).split(<span class=\"synConstant\">\";\"<\/span>)]\n                <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(parts) \"\"] * (row_levels - <span class=\"synIdentifier\">len<\/span>(parts))\n                new_index.append(<span class=\"synIdentifier\">tuple<\/span>(parts))\n            row_names = [f<span class=\"synConstant\">\"A{i+1}\"<\/span> <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(row_levels)]\n            new_row_index = pd.MultiIndex.from_tuples(new_index, names=row_names)\n            \n            \n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(df.columns) &gt; <span class=\"synConstant\">0<\/span>:\n                first_col = <span class=\"synIdentifier\">str<\/span>(df.columns[<span class=\"synConstant\">0<\/span>])\n                col_levels = first_col.count(<span class=\"synConstant\">\";\"<\/span>) + <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                col_levels = <span class=\"synConstant\">1<\/span>\n            new_columns = []\n            <span class=\"synStatement\">for<\/span> col <span class=\"synStatement\">in<\/span> df.columns:\n                parts = [part.strip() <span class=\"synStatement\">for<\/span> part <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">str<\/span>(col).split(<span class=\"synConstant\">\";\"<\/span>)]\n                <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(parts) \"\"] * (col_levels - <span class=\"synIdentifier\">len<\/span>(parts))\n                new_columns.append(<span class=\"synIdentifier\">tuple<\/span>(parts))\n            col_names = [f<span class=\"synConstant\">\"B{i+1}\"<\/span> <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(col_levels)]\n            new_col_index = pd.MultiIndex.from_tuples(new_columns, names=col_names)\n            \n            df_multi = df.copy()\n            df_multi.index = new_row_index\n            df_multi.columns = new_col_index\n            <span class=\"synStatement\">return<\/span> df_multi\n\n        df_multi = single_to_multi(df)\n        st.subheader(<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e DataFrame (MultiIndex)\"<\/span>)\n        st.dataframe(df_multi)\n\n        output = io.BytesIO()\n        <span class=\"synStatement\">with<\/span> pd.ExcelWriter(output, engine=<span class=\"synConstant\">\"xlsxwriter\"<\/span>) <span class=\"synStatement\">as<\/span> writer:\n            df_multi.to_excel(writer, index=<span class=\"synIdentifier\">True<\/span>, sheet_name=<span class=\"synConstant\">\"Converted\"<\/span>)\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        \n        st.download_button(\n            label=<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"converted_multi_index.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n<\/pre>\n<p>\u901a\u5e38\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3051\u308b\u3001\u8ef8\u3068\u8ef8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u4ea4\u63db\u306f\u3001\u624b\u52d5\u3067\u5b9f\u65bd\u3059\u308b\u3068\u81a8\u5927\u3067\u968e\u5c64\u7684\u306a\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u305f\u3069\u308a\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002\u307e\u305f\u3001Excel \u3067\u306f\u3053\u306e\u3088\u3046\u306a\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u672c\u30c4\u30fc\u30eb\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3053\u306e\u4f5c\u696d\u3092\u7701\u529b\u5316\u3067\u304d\u307e\u3059\u3002\u4eca\u5f8c\u306e\u5c55\u958b\u3068\u3057\u3066\u306f\u3001\u30c6\u30b9\u30c8\u81ea\u52d5\u5316\u306e\u7d50\u679c\u306e\u6574\u7406\u3084\u5909\u63db\u306b\u4f7f\u7528\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002<\/p>\n<p>\u69d8\u3005\u306a\u696d\u52d9\u306b\u304a\u3044\u3066\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u8868\u3067\u8ef8\u3068\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u3059\u308b\u3088\u3046\u306a\u5834\u5408\u306b\u3001\u53c2\u8003\u306b\u306a\u308c\u3070\u5e78\u3044\u3067\u3059\u3002<\/p>\n<p>\u304a\u8aad\u307f\u3044\u305f\u3060\u304d\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3057\u305f\u3002<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/06\/25\/173716\">[1] \u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u4f5c\u6210\u30c4\u30fc\u30eb<\/a><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/12\/163419\">[2] \u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb<\/a><\/p>\n<\/div>\n<p><script>(function(d, s, id) {\n  var js, fjs = d.getElementsByTagName(s)[0];\n  if (d.getElementById(id)) return;\n  js = d.createElement(s); js.id = id;\n  js.src = \"\/\/connect.facebook.net\/ja_JP\/sdk.js#xfbml=1&version=v17.0\";\n  fjs.parentNode.insertBefore(js, fjs);\n}(document, 'script', 'facebook-jssdk'));<\/script><br \/>\n<br \/>\n<br \/><a href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/25\/101803\">\u5143\u306e\u8a18\u4e8b\u3092\u78ba\u8a8d\u3059\u308b <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"\u3053\u3093\u306b\u3061\u306f\u3001\u54c1\u8cea\u7ba1\u7406\u90e8\u306e\u6c96\u3067\u3059\u3002 OS \u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u9055\u3044\u306b\u304a\u3051\u308b\u88fd\u54c1\u3078\u306e\u5f71\u97ff\u3092\u8abf\u67fb\u30fb\u691c\u8a3c\u3059\u308b\u696d\u52d9\u306b\u304a\u3044\u3066\u3001\u8907\u6570\u306e\u89b3\u70b9\u306b\u3088\u308b\u6bd4\u8f03\u306e\u305f\u3081\u306b\u884c\u3068\u5217\u304c\u591a\u91cd\u306b\u306a\u3063\u305f\u8868\uff08\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u8868\uff09\u3092\u7528\u3044\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002 \u8a18\u4e8b  [&hellip;]","protected":false},"author":1,"featured_media":6831,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-6830","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-company-tec"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5909\u63db\u306b\u5bfe\u3057\u3066\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb - MOTEX TECH BLOG - \u30dd\u30b1\u30b3\u30f3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/25\/101803\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" 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\/>\n<meta property=\"og:url\" content=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/25\/101803\" \/>\n<meta property=\"og:site_name\" content=\"\u30dd\u30b1\u30b3\u30f3\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-25T01:37:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/pokecon.jp\/job\/wp-content\/uploads\/2025\/09\/https3A2F2Fcdn-ak.f.st-hatena.com2Fimages2Ffotolife2Fm2Fmo-masuda2F202509122F20250912105931.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1300\" \/>\n\t<meta property=\"og:image:height\" content=\"591\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"info@pokecon.jp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"info@pokecon.jp\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta 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