{"id":2403,"date":"2023-07-22T10:29:07","date_gmt":"2023-07-22T10:29:07","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%97%e0%b8%a3%e0%b8%81%e0%b9%81%e0%b8%96%e0%b8%a7\/"},"modified":"2023-07-22T10:29:07","modified_gmt":"2023-07-22T10:29:07","slug":"%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b9%81%e0%b8%97%e0%b8%a3%e0%b8%81%e0%b9%81%e0%b8%96%e0%b8%a7","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%97%e0%b8%a3%e0%b8%81%e0%b9%81%e0%b8%96%e0%b8%a7\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e25\u0e07\u0e43\u0e19 pandas dataframe"},"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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e25\u0e07\u0e43\u0e19\u0e15\u0e33\u0e41\u0e2b\u0e19\u0e48\u0e07\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#insert row with values [1, 7, 6] into existing DataFrame at index=4<\/span>\np.d. <span style=\"color: #3366ff;\">DataFrame<\/span> ( <span style=\"color: #3366ff;\">np.insert<\/span> ( <span style=\"color: #3366ff;\">df.values<\/span> ,4,values=[1,7,6],axis= <span style=\"color: #008000;\">0<\/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\u0e01\u0e32\u0e23\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\u0e01\u0e31\u0e1a Pandas DataFrame \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 style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'B', 'B', 'C'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        team assists rebounds\n0 to 5 11\n1 to 7 8\n2 B 7 10\n3 B 9 6\n4 C 12 6\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 1: \u0e41\u0e17\u0e23\u0e01\u0e04\u0e48\u0e32\u0e25\u0e07\u0e43\u0e19\u0e41\u0e16\u0e27\u0e41\u0e23\u0e01\u0e02\u0e2d\u0e07 Pandas DataFrame<\/strong><\/span><\/h3>\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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e25\u0e07\u0e43\u0e19\u0e41\u0e16\u0e27\u0e41\u0e23\u0e01\u0e02\u0e2d\u0e07 DataFrame \u0e02\u0e2d\u0e07 pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#insert values into first row of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , 0, values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n\tteam assists rebounds\n0 to 3 4\n1 to 5 11\n2 to 7 8\n3 B 7 10\n4 B 9 6\n5 C 12 6<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e41\u0e17\u0e23\u0e01\u0e04\u0e48\u0e32\u0e25\u0e07\u0e43\u0e19\u0e41\u0e16\u0e27\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e02\u0e2d\u0e07 Pandas DataFrame<\/strong><\/span><\/h3>\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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e25\u0e07\u0e43\u0e19\u0e41\u0e16\u0e27\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e02\u0e2d\u0e07 Pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#insert values into third row (index position=2) of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , 2, values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n        team assists rebounds\n0 to 5 11\n1 to 7 8\n2 to 3 4\n3 B 7 10\n4 B 9 6\n5 C 12 6<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 3: \u0e43\u0e2a\u0e48\u0e04\u0e48\u0e32\u0e43\u0e19\u0e41\u0e16\u0e27\u0e2a\u0e38\u0e14\u0e17\u0e49\u0e32\u0e22\u0e02\u0e2d\u0e07 Pandas DataFrame<\/strong><\/span><\/h3>\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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e25\u0e07\u0e43\u0e19\u0e41\u0e16\u0e27\u0e2a\u0e38\u0e14\u0e17\u0e49\u0e32\u0e22\u0e02\u0e2d\u0e07 DataFrame \u0e02\u0e2d\u0e07\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: #008080;\">#insert values into last row of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , <span style=\"color: #008000;\">len<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> ), values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n\tteam assists rebounds\n0 to 5 11\n1 to 7 8\n2 B 7 10\n3 B 9 6\n4 C 12 6\n5 A 3 4<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e2b\u0e15\u0e38<\/strong> : \u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e2d\u0e01\u0e2a\u0e32\u0e23\u0e09\u0e1a\u0e31\u0e1a\u0e40\u0e15\u0e47\u0e21\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 NumPy <strong>insert()<\/strong> <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.insert.html\" target=\"_blank\" rel=\"noopener\">\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48\u0e19\u0e35\u0e48<\/a><\/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> <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\u0e14\u0e33\u0e40\u0e19\u0e34\u0e19\u0e01\u0e32\u0e23\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\/\u0e41\u0e17\u0e23\u0e01\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c-dataframe-\u0e02\u0e2d\u0e07-pandas\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e41\u0e17\u0e23\u0e01\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e25\u0e07\u0e43\u0e19 Pandas DataFrame<\/a><br \/> <a 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\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e16\u0e27\u0e43\u0e19 Pandas DataFrame<\/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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e25\u0e07\u0e43\u0e19\u0e15\u0e33\u0e41\u0e2b [&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-2403","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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e25\u0e07\u0e43\u0e19 DataFrame Pandas \u2013 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\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\u0e25\u0e07\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07 pandas \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" 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content=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e41\u0e17\u0e23\u0e01\u0e41\u0e16\u0e27\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T10:29:07+00:00\" \/>\n<meta name=\"author\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n<meta name=\"twitter:card\" 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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