<\/p>\n
Bir pandas DataFrame’de grup ba\u015f\u0131na benzersiz de\u011ferlerin s\u0131kl\u0131\u011f\u0131n\u0131 saymak 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 Tak\u0131ma<\/strong> ve konum<\/strong> s\u00fctunlar\u0131na g\u00f6re grupland\u0131r\u0131lm\u0131\u015f puan<\/strong> de\u011ferlerinin s\u0131kl\u0131\u011f\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sonucun nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Tak\u0131ma<\/strong> g\u00f6re grupland\u0131r\u0131lm\u0131\u015f pozisyonlar\u0131n<\/strong> s\u0131kl\u0131\u011f\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini de kullanabiliriz:<\/span><\/p>\n Sonucun nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Ve benzeri.<\/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 Pandalarda GroupBy toplam\u0131 nas\u0131l ger\u00e7ekle\u015ftirilir?<\/a> Bir pandas DataFrame’de grup ba\u015f\u0131na benzersiz de\u011ferlerin s\u0131kl\u0131\u011f\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df. groupby ([‘ column1 ‘, ‘ column2 ‘]). size (). unstack (fill_value= 0 ) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Pandas’ta GroupBy ve De\u011fer Say\u0131mlar\u0131n\u0131 Kullanma A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame: import pandas as pd #createDataFrame df […]<\/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-2488","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. groupby<\/span> ([' column1<\/span> ', ' column2<\/span> ']). size<\/span> (). unstack<\/span> (fill_value= 0<\/span> )\n<\/strong><\/pre>\n \u00d6rnek: Pandas’ta GroupBy ve De\u011fer Say\u0131mlar\u0131n\u0131 Kullanma<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'],\n ' position<\/span> ':['G', 'G', 'F', 'F', 'C', 'G', 'F', 'F', 'F', 'F'],\n ' points<\/span> ': [8, 8, 10, 10, 11, 8, 9, 10, 10, 10]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team position points\n0 AG 8\n1 GA 8\n2 AF10\n3 AF 10\n4 AC 11\n5 BG 8\n6 BF 9\n7 BF 10\n8 BF 10\n9 BF 10\n<\/span><\/span><\/strong><\/pre>\n #count frequency of points values, grouped by team and position\ndf. groupby<\/span> ([' team<\/span> ',' position<\/span> ',' points<\/span> ']). size<\/span> (). unstack<\/span> (fill_value= 0<\/span> )\n\n\tpoints 8 9 10 11\nteam position\t\t\t\t\nA C 0 0 0 1\n F 0 0 2 0\n G 2 0 0 0\nB F 0 1 3 0\n G 1 0 0 0<\/span><\/span><\/strong><\/pre>\n\n
#count frequency of positions, grouped by team\ndf. groupby<\/span> ([' team<\/span> ', ' position<\/span> ']). size<\/span> (). unstack<\/span> (fill_value= 0<\/span> )\n\nposition C F G\nteam\t\t\t\nA 1 2 2\nB 0 4 1\n<\/span><\/span><\/strong><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’da GroupBy kullan\u0131larak benzersiz de\u011ferler nas\u0131l say\u0131l\u0131r?<\/a>
Pandalarda Groupby ve Plot nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"