<\/p>\n
Pandas DataFrame’de yinelenen bir s\u00fctun olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n Puan<\/strong> s\u00fctununun bir kopyas\u0131n\u0131 olu\u015fturmak ve onu point_duplicate<\/strong> olarak adland\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/span><\/p>\n point_duplicate<\/strong> s\u00fctununun, puan<\/strong> s\u00fctunuyla tamamen ayn\u0131 de\u011ferleri i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n Yinelenen s\u00fctunun orijinal s\u00fctundan farkl\u0131 bir s\u00fctun ad\u0131na sahip olmas\u0131 gerekti\u011fini unutmay\u0131n, aksi takdirde yinelenen bir s\u00fctun olu\u015fturulmayacakt\u0131r.<\/span><\/p>\n \u00d6rne\u011fin, yinelenen bir s\u00fctun olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanmaya \u00e7al\u0131\u015f\u0131rsak \u00e7al\u0131\u015fmayacakt\u0131r:<\/span><\/p>\n Yinelenen s\u00fctunlar olu\u015fturulmad\u0131.<\/span><\/p>\n Yinelenen s\u00fctunun, orijinal s\u00fctundan farkl\u0131 bir s\u00fctun ad\u0131na sahip olmas\u0131 gerekir.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas DataFrame’i indeks olmadan nas\u0131l yazd\u0131rabilirim?<\/a> Pandas DataFrame’de yinelenen bir s\u00fctun olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ my_column_duplicate ‘] = df. loc [:, ‘ my_column ‘] A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Pandas DataFrame’de yinelenen bir s\u00fctun olu\u015fturun A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame: import pandas as pd #createDataFrame df = pd. DataFrame ({‘ points ‘: [25, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3543","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' my_column_duplicate<\/span> '] = df. loc<\/span> [:, ' my_column<\/span> ']\n<\/strong><\/pre>\n \u00d6rnek: Pandas DataFrame’de yinelenen bir s\u00fctun olu\u015fturun<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29, 32],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 5],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12, 8]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n8 32 5 8\n<\/strong><\/pre>\n #create duplicate points column\n<\/span>df[' duplicate_points<\/span> '] = df. loc<\/span> [:, ' points<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n points assists rebounds points_duplicate\n0 25 5 11 25\n1 12 7 8 12\n2 15 7 10 15\n3 14 9 6 14\n4 19 12 6 19\n5 23 9 5 23\n6 25 9 9 25\n7 29 4 12 29\n8 32 5 8 32<\/span><\/span><\/strong><\/pre>\n #attempt to create duplicate points column\n<\/span>df[' points<\/span> '] = df. loc<\/span> [:, ' points<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n8 32 5 8\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandas DataFrame’deki t\u00fcm sat\u0131rlar nas\u0131l g\u00f6r\u00fcnt\u00fclenir?<\/a>
Pandas DataFrame’deki t\u00fcm s\u00fctunlar\u0131n t\u00fcr\u00fc nas\u0131l kontrol edilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"