{"id":4202,"date":"2023-07-12T21:36:56","date_gmt":"2023-07-12T21:36:56","guid":{"rendered":"https:\/\/statorials.org\/tr\/cubuk-genisligi-matplotlib\/"},"modified":"2023-07-12T21:36:56","modified_gmt":"2023-07-12T21:36:56","slug":"cubuk-genisligi-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/cubuk-genisligi-matplotlib\/","title":{"rendered":"Matplotlib'de \u00e7ubuk geni\u015fli\u011fi nas\u0131l ayarlan\u0131r"},"content":{"rendered":"

<\/p>\n

\n

Matplotlib taraf\u0131ndan olu\u015fturulan bir \u00e7ubuk grafikteki \u00e7ubuklar\u0131n geni\u015fli\u011fini ayarlamak i\u00e7in geni\u015flik<\/strong> arg\u00fcman\u0131n\u0131 kullanabilirsiniz:<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. bar<\/span> (x= df.category<\/span> , height= df.amount<\/span> , width= 0.8<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
 Geni\u015flik<\/strong> i\u00e7in varsay\u0131lan de\u011fer 0,8’dir<\/strong> ancak \u00e7ubuklar\u0131 geni\u015fletmek i\u00e7in bu de\u011feri art\u0131rabilir veya \u00e7ubuklar\u0131 daraltmak i\u00e7in bu de\u011feri azaltabilirsiniz.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Matplotlib’de \u00e7ubuk geni\u015fli\u011fini ayarlama<\/strong><\/span><\/h2>\n
 Bir bakkaldaki \u00e7e\u015fitli \u00fcr\u00fcnlerin toplam sat\u0131\u015f\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' item<\/span> ': ['Apples', 'Oranges', 'Kiwis', 'Bananas', 'Limes'],\n                   ' sales<\/span> ': [18, 22, 19, 14, 24]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n      item sales\n0 Apples 18\n1 Oranges 22\n2 Kiwis 19\n3 Bananas 14\n4 Files 24\n<\/span><\/span><\/strong><\/pre>\n
 Her \u00f6\u011fenin sat\u0131\u015f say\u0131s\u0131n\u0131 g\u00f6rselle\u015ftirmek amac\u0131yla bir \u00e7ubuk grafik olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#create bar chart\n<\/span>plt. bar<\/span> (x=df. item<\/span> , height=df. sales )<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 Varsay\u0131lan olarak Matplotlib 0,8<\/strong> geni\u015fli\u011fini kullan\u0131r.<\/span><\/p>\n
 Ancak farkl\u0131 bir de\u011fer belirtmek i\u00e7in geni\u015flik<\/strong> arg\u00fcman\u0131n\u0131 kullanabiliriz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#create bar chart with narrow bars\n<\/span>plt. bar<\/span> (x=df. item<\/span> , height=df. sales , width= 0.4<\/span> )<\/span><\/span><\/span><\/span><\/strong> <\/pre>\n
\"matplotlib<\/p>\n
 \u00c7ubuklar\u0131n \u00e7ok daha dar oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Ayr\u0131ca geni\u015flik i\u00e7in 1<\/strong> de\u011ferini kullan\u0131rsan\u0131z \u00e7ubuklar\u0131n birbirine de\u011fece\u011fini unutmay\u0131n:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#create bar chart with width of 1\n<\/span>plt. bar<\/span> (x=df. item<\/span> , height=df. sales , width= 1<\/span> , edgecolor=' black<\/span> ')<\/span><\/span><\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \u00c7izim \u00e7ubuklar\u0131n\u0131 istedi\u011finiz kadar geni\u015f veya dar yapmak i\u00e7in geni\u015flik<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkeninin de\u011ferini ayarlamaktan \u00e7ekinmeyin.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimler Matplotlib’deki di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n
 Matplotlib’de Y\u0131\u011f\u0131lm\u0131\u015f \u00c7ubuk Grafikler Nas\u0131l Olu\u015fturulur<\/a>
 Matplotlib’de g\u00f6receli frekans histogram\u0131 nas\u0131l olu\u015fturulur<\/a>
Seaborn’da yatay bir bar grafi\u011fi nas\u0131l olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Matplotlib taraf\u0131ndan olu\u015fturulan bir \u00e7ubuk grafikteki \u00e7ubuklar\u0131n geni\u015fli\u011fini ayarlamak i\u00e7in geni\u015flik arg\u00fcman\u0131n\u0131 kullanabilirsiniz: import matplotlib. pyplot as plt plt. bar (x= df.category , height= df.amount , width= 0.8 ) Geni\u015flik i\u00e7in varsay\u0131lan de\u011fer 0,8’dir ancak \u00e7ubuklar\u0131 geni\u015fletmek i\u00e7in bu de\u011feri art\u0131rabilir veya \u00e7ubuklar\u0131 daraltmak i\u00e7in bu de\u011feri azaltabilirsiniz. A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 […]<\/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-4202","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nMatplotlib'de \u00e7ubuk geni\u015fli\u011fi nas\u0131l ayarlan\u0131r - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Matplotlib'deki bir \u00e7ubuk grafikteki \u00e7ubuklar\u0131n geni\u015fli\u011finin nas\u0131l ayarlanaca\u011f\u0131 bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\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\/tr\/cubuk-genisligi-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib'de \u00e7ubuk geni\u015fli\u011fi nas\u0131l ayarlan\u0131r - 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