{"id":2580,"date":"2023-07-21T15:45:50","date_gmt":"2023-07-21T15:45:50","guid":{"rendered":"https:\/\/statorials.org\/tr\/cok-sutunlu-kutu-grafigi\/"},"modified":"2023-07-21T15:45:50","modified_gmt":"2023-07-21T15:45:50","slug":"cok-sutunlu-kutu-grafigi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/cok-sutunlu-kutu-grafigi\/","title":{"rendered":"Seaborn: \u00e7ok s\u00fctunlu bir kutu grafi\u011fi nas\u0131l olu\u015fturulur?"},"content":{"rendered":"

<\/p>\n

\n

Bir panda DataFrame’in \u00e7ok s\u00fctunlu kutu grafi\u011fini olu\u015fturmak i\u00e7in Seaborn’da a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 sns. boxplot<\/span> (x=' variable<\/span> ', y=' value<\/span> ', data=df)\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Seaborn kullan\u0131larak birden \u00e7ok s\u00fctunun kutu grafi\u011fi<\/strong><\/span><\/h3>\n
 \u00dc\u00e7 farkl\u0131 basketbol tak\u0131m\u0131ndaki oyuncular\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [5, 7, 7, 9, 12, 12],\n                   ' B<\/span> ': [8, 8, 9, 13, 15, 17],\n                   ' C<\/span> ': [1, 2, 2, 4, 5, 7]})\n\n#view DataFrame\n<\/span>df\n\n        A B C\n0 5 8 1\n1 7 8 2\n2 7 9 2\n3 9 13 4\n4 12 15 5\n5 12 17 7\n<\/span><\/span><\/strong><\/pre>\n
 Her tak\u0131m\u0131n kazand\u0131\u011f\u0131 puanlar\u0131n da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6steren \u00fc\u00e7 kutu grafi\u011fi olu\u015fturmak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n
 Seaborn’da birka\u00e7 kutu grafi\u011fi olu\u015fturmak i\u00e7in \u00f6nce pandan\u0131n DataFrame’ini uzun bir formatta<\/a> birle\u015ftirmelisiniz:<\/span><\/p>\n
 #melt data frame into long format\n<\/span>df_melted = pd. melt<\/span> (df)\n\n#view first 10 rows of melted data frame\n<\/span>df_melted. head<\/span> ( 10<\/span> )\n\n\tvariable value\n0 to 5\n1 to 7\n2 to 7\n3 to 9\n4 to 12\n5 to 12\n6 B 8\n7 B 8\n8 B 9\n9 B 13<\/span><\/span><\/strong><\/pre>\n
 Art\u0131k Seaborn’u kullanarak birden fazla kutu grafi\u011fi olu\u015fturabiliriz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#create seaborn boxplots by group\n<\/span>sns. boxplot<\/span> (x=' variable<\/span> ', y=' value<\/span> ', data=df_melted)<\/span><\/span><\/strong> <\/pre>\n
\"Birden<\/p>\n
 X ekseni tak\u0131mlar\u0131, y ekseni ise kazan\u0131lan puanlar\u0131n da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#create seaborn boxplots by group\n<\/span>sns. boxplot<\/span> (x=' variable<\/span> ', y=' value<\/span> ', data=df_melted). set<\/span> (title=' Points by Team<\/span> ')\n\n#modify axis labels\n<\/span>plt. xlabel<\/span> ('Team')\nplt. ylabel<\/span> ('Points')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimler, Seaborn’da<\/a> di\u011fer yayg\u0131n g\u00f6rselle\u015ftirmelerin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n
 Seaborn’da Pasta Grafi\u011fi Nas\u0131l Olu\u015fturulur<\/a>
 Seaborn’da Alan Grafi\u011fi Nas\u0131l Olu\u015fturulur<\/a>
 Seaborn’da Zaman Serisi Grafi\u011fi Nas\u0131l Olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Bir panda DataFrame’in \u00e7ok s\u00fctunlu kutu grafi\u011fini olu\u015fturmak i\u00e7in Seaborn’da a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: sns. boxplot (x=’ variable ‘, y=’ value ‘, data=df) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Seaborn kullan\u0131larak birden \u00e7ok s\u00fctunun kutu grafi\u011fi \u00dc\u00e7 farkl\u0131 basketbol tak\u0131m\u0131ndaki oyuncular\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m: import pandas […]<\/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-2580","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nSeaborn: \u00c7ok s\u00fctunlu bir kutu grafi\u011fi nas\u0131l olu\u015fturulur - 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 Ayr\u0131ca ba\u015fl\u0131k eklemek<\/a> ve eksen etiketlerini<\/a> de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilece\u011fimizi unutmay\u0131n:<\/span> <\/p>\n