{"id":1733,"date":"2023-07-25T05:07:32","date_gmt":"2023-07-25T05:07:32","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%b8%ab%e0%b8%a5%e0%b9%88%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b8%a5%e0%b8%b0%e0%b9%81%e0%b8%96%e0%b8%a7\/"},"modified":"2023-07-25T05:07:32","modified_gmt":"2023-07-25T05:07:32","slug":"%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b8%ab%e0%b8%a5%e0%b9%88%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b8%a5%e0%b8%b0%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%b8%ab%e0%b8%a5%e0%b9%88%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b8%a5%e0%b8%b0%e0%b9%81%e0%b8%96%e0%b8%a7\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 pandas (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)"},"content":{"rendered":"

<\/p>\n

\n

\u0e04\u0e38\u0e13\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\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e15\u0e32\u0e21\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e14\u0e31\u0e0a\u0e19\u0e35:<\/span><\/p>\n

 #drop first row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 0<\/span> )\n<\/strong><\/pre>\n
 \u0e41\u0e25\u0e30\u0e04\u0e38\u0e13\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\u0e25\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e41\u0e16\u0e27\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01 Pandas DataFrame \u0e15\u0e32\u0e21\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e14\u0e31\u0e0a\u0e19\u0e35:<\/span><\/p>\n
 #drop first, second, and fourth row from DataFrame\n<\/span>df = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> )<\/span><\/strong><\/pre>\n
 \u0e2b\u0e32\u0e01 DataFrame \u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e21\u0e35\u0e2a\u0e15\u0e23\u0e34\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e48\u0e32\u0e14\u0e31\u0e0a\u0e19\u0e35 \u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e2a\u0e48\u0e07\u0e0a\u0e37\u0e48\u0e2d\u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e15\u0e23\u0e34\u0e07\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e25\u0e1a\u0e2d\u0e2d\u0e01\u0e44\u0e14\u0e49:<\/span><\/p>\n
 df = df. drop<\/span> (index=[' first<\/span> ', ' second<\/span> ', ' third<\/span> '])\n<\/strong><\/pre>\n
 \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\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/span><\/p>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 1: \u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35<\/strong><\/span><\/h3>\n
 \u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e17\u0e35\u0e48\u0e2a\u0e2d\u0e07\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop second row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 1<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n        team first last points\n0 Mavs Dirk Nowitzki 26\n2 Spurs Tim Duncan 22\n3 Cavs LeBron James 29\n<\/strong><\/pre>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e25\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35<\/strong><\/span><\/h3>\n
 \u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e41\u0e16\u0e27\u0e43\u0e19 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop first, second, and fourth row from DataFrame<\/span>\ndf = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n\tteam first last points\n2 Spurs Tim Duncan 22<\/strong><\/pre>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 3: \u0e25\u0e1a\u0e41\u0e16\u0e27\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e15\u0e23\u0e34\u0e07<\/strong><\/span><\/h3>\n
 \u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01 Pandas DataFrame \u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e15\u0e23\u0e34\u0e07\u0e41\u0e17\u0e19\u0e17\u0e35\u0e48\u0e08\u0e30\u0e40\u0e1b\u0e47\u0e19\u0e15\u0e31\u0e27\u0e40\u0e25\u0e02:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]},\n                   index=['A', 'B', 'C', 'D'])\n\n<\/span>#view DataFrame\ndf\n<\/span>team first last<\/span> points\nA Mavs Dirk Nowitzki<\/span> 26\nB Lakers Kobe Bryant<\/span> 31\nC Spurs Tim Duncan<\/span> 22\nD Cavs Lebron James<\/span> 29\n<\/span>\n#remove rows with index values 'A' and 'C'\ndf = df. drop<\/span> (index=[' A<\/span> ',' C<\/span> '])\n<\/span>\n#view resulting DataFrame\ndf\n\nteam first last points\nB Lakers Kobe Bryant 31\nD Cavs Lebron James 29<\/span><\/span><\/strong><\/pre>\n
 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h3>\n
 \u0e27\u0e34\u0e18\u0e35\u0e25\u0e1a\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 Pandas<\/a>
 Pandas: \u0e27\u0e34\u0e18\u0e35\u0e25\u0e1a\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2a\u0e15\u0e23\u0e34\u0e07\u0e40\u0e09\u0e1e\u0e32\u0e30<\/a>
 \u0e19\u0e38\u0e48\u0e19: \u0e27\u0e34\u0e18\u0e35\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e17\u0e35\u0e48\u0e0b\u0e49\u0e33\u0e01\u0e31\u0e19<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0e04\u0e38\u0e13\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\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01 DataFrame  […]<\/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-1733","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 Pandas (\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\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\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\u0e2b\u0e25\u0e48\u0e19\u0e17\u0e35\u0e25\u0e30\u0e41\u0e16\u0e27\/\" \/>\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\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e43\u0e19 Pandas (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)\" \/>\n<meta property=\"og: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\u0e25\u0e1a\u0e41\u0e16\u0e27\u0e15\u0e32\u0e21\u0e14\u0e31\u0e0a\u0e19\u0e35\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 property=\"og:url\" content=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e2b\u0e25\u0e48\u0e19\u0e17\u0e35\u0e25\u0e30\u0e41\u0e16\u0e27\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T05:07:32+00:00\" \/>\n<meta name=\"author\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 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