{"id":2097,"date":"2023-07-23T17:12:17","date_gmt":"2023-07-23T17:12:17","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b9%81%e0%b8%9c%e0%b9%88%e0%b8%94%e0%b8%b1%e0%b8%8a%e0%b8%99%e0%b8%b5%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2%e0%b8%8a%e0%b8%b1%e0%b9%89%e0%b8%99\/"},"modified":"2023-07-23T17:12:17","modified_gmt":"2023-07-23T17:12:17","slug":"%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b9%81%e0%b8%9c%e0%b9%88%e0%b8%94%e0%b8%b1%e0%b8%8a%e0%b8%99%e0%b8%b5%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2%e0%b8%8a%e0%b8%b1%e0%b9%89%e0%b8%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b9%81%e0%b8%9c%e0%b9%88%e0%b8%94%e0%b8%b1%e0%b8%8a%e0%b8%99%e0%b8%b5%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2%e0%b8%8a%e0%b8%b1%e0%b9%89%e0%b8%99\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e17\u0e33\u0e43\u0e2b\u0e49 multiindex \u0e41\u0e1a\u0e19\u0e43\u0e19 pandas (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e41\u0e1a\u0e19\u0e23\u0e32\u0e1a\u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten all levels of MultiIndex<\/span>\ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#flatten specific levels of MultiIndex<\/span>\ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> , level = [' <span style=\"color: #ff0000;\">level_name<\/span> '])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e19\u0e35\u0e49\u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 1: \u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e17\u0e38\u0e01\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e43\u0e19 Pandas \u0e40\u0e23\u0e35\u0e22\u0e1a\u0e02\u0e36\u0e49\u0e19<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32 MultiIndex DataFrame \u0e14\u0e31\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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>index_names = pd. <span style=\"color: #3366ff;\">MultiIndex<\/span> . <span style=\"color: #3366ff;\">from_tuples<\/span> ([('Level1','Lev1', 'L1'),\n                                       ('Level2','Lev2', 'L2'),\n                                       ('Level3','Lev3', 'L3'),\n                                       ('Level4','Lev4', 'L4')],\n                                       names=['Full','Partial', 'ID'])\n\ndata = {'Store': ['A','B','C','D'],\n        'Sales': [12, 44, 29, 35]}\n\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns = [' <span style=\"color: #ff0000;\">Store<\/span> ',' <span style=\"color: #ff0000;\">Sales<\/span> '], index=index_names)\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\t\t\tStore Sales\nFull Partial ID\t\t\nLevel1 Lev1 L1 A 17\nLevel2 Lev2 L2 B 22\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e41\u0e15\u0e48\u0e25\u0e30\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e23\u0e35\u0e22\u0e1a\u0e25\u0e07\u0e43\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e02\u0e2d\u0e07 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten every level of MultiIndex<\/span> \ndf. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n        Full Partial ID Store Sales\n0 Level1 Lev1 L1 A 12\n1 Level2 Lev2 L2 B 44\n2 Level3 Lev3 L3 C 29\n3 Level4 Lev4 L4 D 35\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e42\u0e1b\u0e23\u0e14\u0e17\u0e23\u0e32\u0e1a\u0e27\u0e48\u0e32\u0e15\u0e2d\u0e19\u0e19\u0e35\u0e49 MultiIndex \u0e41\u0e15\u0e48\u0e25\u0e30\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e08\u0e30\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 DataFrame<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e43\u0e19 Pandas \u0e40\u0e23\u0e35\u0e22\u0e1a\u0e25\u0e07<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e40\u0e14\u0e35\u0e22\u0e27\u0e01\u0e31\u0e19\u0e01\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e01\u0e48\u0e2d\u0e19\u0e2b\u0e19\u0e49\u0e32\u0e19\u0e35\u0e49:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view DataFrame<\/span>\n<span style=\"color: #000000;\">df\n\n<\/span>Store Sales\nFull Partial ID\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e23\u0e30\u0e14\u0e31\u0e1a\u0e43\u0e14\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e40\u0e23\u0e35\u0e22\u0e1a\u0e25\u0e07:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten 'ID' level only\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> ,level=[' <span style=\"color: #ff0000;\">ID<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n\t\tID Store Sales\nFull Partial\t\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e41\u0e25\u0e30\u0e42\u0e04\u0e49\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e2b\u0e25\u0e32\u0e22\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e23\u0e32\u0e1a\u0e40\u0e23\u0e35\u0e22\u0e1a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#flatten 'ID' level only\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> ,level=[' <span style=\"color: #ff0000;\">Partial<\/span> ',' <span style=\"color: #ff0000;\">ID<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\ndf\n\n\tPartial ID Store Sales\nFull\t\t\t\t\nLevel1 Lev1 L1 A 12\nLevel2 Lev2 L2 B 44\nLevel3 Lev3 L3 C 29\nLevel4 Lev4 L4 D 35<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19 \u0e46 \u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/th\/\u0e19\u0e38\u0e48\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e15\u0e31\u0e49\u0e07\u0e04\u0e48\u0e32\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e40\u0e1b\u0e47\u0e19\u0e14\u0e31\u0e0a\u0e19\u0e35\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e15\u0e31\u0e49\u0e07\u0e04\u0e48\u0e32\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e40\u0e1b\u0e47\u0e19\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiInde [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2097","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0e27\u0e34\u0e18\u0e35\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e41\u0e1a\u0e19\u0e43\u0e19 Pandas (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07) - Statorials<\/title>\n<meta name=\"description\" content=\"\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e43\u0e2b\u0e49 multiIndex \u0e41\u0e1a\u0e19\u0e23\u0e32\u0e1a\u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\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\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e41\u0e1c\u0e48\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e2b\u0e25\u0e32\u0e22\u0e0a\u0e31\u0e49\u0e19\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0e27\u0e34\u0e18\u0e35\u0e17\u0e33\u0e43\u0e2b\u0e49 MultiIndex \u0e41\u0e1a\u0e19\u0e43\u0e19 Pandas (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07) - Statorials\" \/>\n<meta property=\"og:description\" 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