Y\u00f6ntem 1: \u00d6zel S\u0131ray\u0131 Kullanarak Kutu Grafiklerini S\u0131ralama<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Bir Metrik Kullanarak Kutu Grafiklerini S\u0131ralama<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, \u00fc\u00e7 farkl\u0131 tak\u0131mdan basketbolcular\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki pandalar DataFrame ile her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, her tak\u0131m i\u00e7in puan da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6rselle\u015ftirmek ve tak\u0131m ad\u0131na g\u00f6re kutu grafiklerini \u015fu s\u0131rayla s\u0131ralamak i\u00e7in bir kutu grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir: C, A, B.<\/span> <\/p>\n Kutu grafiklerinin x ekseni boyunca tam olarak belirtti\u011fimiz s\u0131raya g\u00f6re s\u0131raland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, her tak\u0131m i\u00e7in puan da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6rselle\u015ftirmek ve tak\u0131m ba\u015f\u0131na al\u0131nan ortalama puanlara g\u00f6re kutu grafiklerini artan s\u0131rada s\u0131ralamak i\u00e7in bir kutu grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Kutu \u00e7izimlerinin x ekseni boyunca tak\u0131m ba\u015f\u0131na ortalama puan de\u011ferine g\u00f6re artan s\u0131rada s\u0131raland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Kutu grafiklerini azalan s\u0131rada g\u00f6r\u00fcnt\u00fclemek i\u00e7in sort_values()<\/strong> i\u015flevinde artan=False de\u011ferini<\/strong> belirtmeniz yeterlidir:<\/span> <\/p>\n sns. boxplot<\/span> (x=' group_var<\/span> ', y=' values_var<\/span> ', data=df, order=[' A<\/span> ',' B<\/span> ',' C<\/span> '])<\/strong><\/pre>\n group_means=df. groupby<\/span> ([' group_var<\/span> '])[' values_var<\/span> ']. mean<\/span> (). sort_values<\/span> (ascending= True<\/span> )\n\nsns. boxplot<\/span> (x=' group_var<\/span> ', y=' values_var<\/span> ', data=df, order=group_means. index<\/span> )\n<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B',\n 'B', 'B', 'C', 'C', 'C', 'C', 'C'],\n ' points<\/span> ': [3, 4, 6, 8, 9, 10, 13, 16, 18, 20, 8, 9, 12, 13, 15]})\n\n#view head of DataFrame\n<\/span>print<\/span> ( df.head<\/span> ())\n\n team points\n0 to 3\n1 to 4\n2 to 6\n3 to 8\n4 to 9\n<\/strong><\/pre>\n \u00d6rnek 1: \u00d6zel bir sipari\u015f kullanarak kutu grafiklerini sipari\u015f edin<\/strong><\/span><\/h2>\n
import<\/span> seaborn as<\/span> sns\n\n#create boxplots with custom order\n<\/span>sns. boxplot<\/span> (x=' team<\/span> ', y=' points<\/span> ', data=df, order=[' C<\/span> ', ' A<\/span> ', ' B<\/span> '])\n<\/span><\/span><\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boeuf1.png\")
<\/p>\n \u00d6rnek 2: Bir Metrik Kullanarak Kutu Grafiklerini S\u0131ralama<\/strong><\/span><\/h2>\n
import<\/span> seaborn as<\/span> sns\n\n#calculate mean points by team\n<\/span>mean_by_team = df. groupby<\/span> ([' team<\/span> '])[' points<\/span> ']. mean<\/span> (). sort_values<\/span> (ascending= True<\/span> )\n\n#create boxplots ordered by mean points (ascending)\n<\/span>sns. boxplot<\/span> (x=' team<\/span> ', y=' points<\/span> ', data=df, order=mean_by_team. index<\/span> )\n<\/span><\/span><\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boeuf2.png\")
<\/p>\n import seaborn as sns\n\n#calculate mean points by team\n<\/span>mean_by_team = df. groupby<\/span> ([' team<\/span> '])[' points<\/span> ']. mean<\/span> (). sort_values<\/span> (ascending= False<\/span> )\n\n#create boxplots ordered by mean points (descending)\n<\/span>sns. boxplot<\/span> (x=' team<\/span> ', y=' points<\/span> ', data=df, order=mean_by_team. index<\/span> )<\/span><\/span><\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boeuf3.png\")
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