{"id":1826,"date":"2023-07-24T20:13:47","date_gmt":"2023-07-24T20:13:47","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%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%9a%e0%b8%a3%e0%b8%a3%e0%b8%97%e0%b8%b1%e0%b8%94%e0%b9%83%e0%b8%99-dataframe\/"},"modified":"2023-07-24T20:13:47","modified_gmt":"2023-07-24T20:13:47","slug":"%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b9%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%9a%e0%b8%a3%e0%b8%a3%e0%b8%97%e0%b8%b1%e0%b8%94%e0%b9%83%e0%b8%99-dataframe","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%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%9a%e0%b8%a3%e0%b8%a3%e0%b8%97%e0%b8%b1%e0%b8%94%e0%b9%83%e0%b8%99-dataframe\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e16\u0e27\u0e43\u0e19 pandas dataframe (\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\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 <strong>df.loc()<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e17\u0e35\u0e48\u0e2a\u0e48\u0e27\u0e19\u0e17\u0e49\u0e32\u0e22\u0e02\u0e2d\u0e07 DataFrame \u0e02\u0e2d\u0e07 pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add row to end of DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">len<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> )] = [value1, value2, value3, ...]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e41\u0e25\u0e30\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 <strong>df.append()<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e25\u0e32\u0e22\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e08\u0e32\u0e01 DataFrame \u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e22\u0e39\u0e48\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e08\u0e38\u0e14\u0e2a\u0e34\u0e49\u0e19\u0e2a\u0e38\u0e14\u0e02\u0e2d\u0e07 DataFrame \u0e2d\u0e37\u0e48\u0e19:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#append rows of <em>df2<\/em> to end of existing DataFrame<\/span>\ndf = df. <span style=\"color: #3366ff;\">append<\/span> (df2, ignore_index = <span style=\"color: #008000;\">True<\/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\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e40\u0e2b\u0e25\u0e48\u0e32\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: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame<\/strong><\/span><\/h3>\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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e17\u0e35\u0e48\u0e2a\u0e48\u0e27\u0e19\u0e17\u0e49\u0e32\u0e22\u0e02\u0e2d\u0e07 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [10, 12, 12, 14, 13, 18],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [7, 7, 8, 13, 7, 4],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tpoints rebound assists\n0 10 7 11\n1 12 7 8\n2 12 8 10\n3 14 13 6\n4 13 7 6\n5 18 4 5\n\n<span style=\"color: #008080;\">#add new row to end of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">loc<\/span> [ <span style=\"color: #008000;\">len<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> )] = [20, 7, 5]\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n        points rebound assists\n0 10 7 11\n1 12 7 8\n2 12 8 10\n3 14 13 6\n4 13 7 6\n5 18 4 5\n6 20 7 5\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e25\u0e32\u0e22\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame<\/strong><\/span><\/h3>\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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e25\u0e32\u0e22\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e08\u0e32\u0e01 DataFrame \u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e22\u0e39\u0e48\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e08\u0e38\u0e14\u0e2a\u0e34\u0e49\u0e19\u0e2a\u0e38\u0e14\u0e02\u0e2d\u0e07 DataFrame \u0e2d\u0e37\u0e48\u0e19:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [10, 12, 12, 14, 13, 18],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [7, 7, 8, 13, 7, 4],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tpoints rebound assists\n0 10 7 11\n1 12 7 8\n2 12 8 10\n3 14 13 6\n4 13 7 6\n5 18 4 5\n\n<span style=\"color: #008080;\">#define second DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [21, 25, 26],\n                    ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [7, 7, 13],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [11, 3, 3]})\n\n<span style=\"color: #008080;\">#add new row to end of DataFrame\n<\/span>df = df. <span style=\"color: #3366ff;\">append<\/span> (df2, ignore_index = <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n        points rebound assists\n0 10 7 11\n1 12 7 8\n2 12 8 10\n3 14 13 6\n4 13 7 6\n5 18 4 5\n6 21 7 11\n7 25 7 3\n8 26 13 3\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e42\u0e1b\u0e23\u0e14\u0e17\u0e23\u0e32\u0e1a\u0e27\u0e48\u0e32 DataFrame \u0e17\u0e31\u0e49\u0e07\u0e2a\u0e2d\u0e07\u0e15\u0e49\u0e2d\u0e07\u0e21\u0e35\u0e0a\u0e37\u0e48\u0e2d\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e40\u0e14\u0e35\u0e22\u0e27\u0e01\u0e31\u0e19\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e2b\u0e49\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e1c\u0e19\u0e27\u0e01\u0e41\u0e16\u0e27\u0e08\u0e32\u0e01 DataFrame \u0e2b\u0e19\u0e36\u0e48\u0e07\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e08\u0e38\u0e14\u0e2a\u0e34\u0e49\u0e19\u0e2a\u0e38\u0e14\u0e02\u0e2d\u0e07\u0e2d\u0e35\u0e01 DataFrame \u0e44\u0e14\u0e49\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08<\/span><\/p>\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> \u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 Pandas DataFrame<br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e23\u0e31\u0e1a\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23\u0e2b\u0e25\u0e32\u0e21\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e41\u0e16\u0e27-dataframe\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19 DataFrame \u0e41\u0e1a\u0e1a\u0e2d\u0e34\u0e19\u0e44\u0e25\u0e19\u0e4c\u0e43\u0e19 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 df.loc() \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e17\u0e35\u0e48\u0e2a\u0e48\u0e27\u0e19\u0e17\u0e49 [&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-1826","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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)<\/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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e41\u0e16\u0e27\u0e02\u0e36\u0e49\u0e19\u0e44\u0e1b\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07 pandas \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e32\u0e01\u0e21\u0e32\u0e22\" \/>\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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e43\u0e19-dataframe\/\" \/>\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\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)\" \/>\n<meta property=\"og:description\" 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content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0e19\u0e32\u0e17\u0e35\" \/>\n<script type=\"application\/ld+json\" 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