{"id":3147,"date":"2023-07-18T23:54:12","date_gmt":"2023-07-18T23:54:12","guid":{"rendered":"https:\/\/statorials.org\/tr\/normal-gunluk-python-dagilimi\/"},"modified":"2023-07-18T23:54:12","modified_gmt":"2023-07-18T23:54:12","slug":"normal-gunluk-python-dagilimi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/normal-gunluk-python-dagilimi\/","title":{"rendered":"Python'da log-normal da\u011f\u0131l\u0131m nas\u0131l kullan\u0131l\u0131r?"},"content":{"rendered":"

<\/p>\n

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Log-normal da\u011f\u0131l\u0131m\u0131 izleyen rastgele bir de\u011fi\u015fken olu\u015fturmak i\u00e7in Python’daki SciPy<\/strong> k\u00fct\u00fcphanesinin lognorm()<\/a> fonksiyonunu kullanabilirsiniz.<\/span><\/span><\/p>\n

A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n

Lognormal da\u011f\u0131l\u0131m nas\u0131l olu\u015fturulur?<\/strong><\/h3>\n

\u03bc = 1 ve \u03c3 = 1 ile log-normal da\u011f\u0131l\u0131m\u0131 izleyen bir rastgele de\u011fi\u015fken olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabilirsiniz:<\/span><\/p>\n

 import<\/span> math\nimport<\/span> numpy as<\/span> np\nfrom<\/span> scipy. stats<\/span> import<\/span> lognorm\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#generate log-normal distributed random variable with 1000 values\n<\/span>lognorm_values = lognorm. rvs<\/span> (s= 1<\/span> , scale=math. exp<\/span> ( 1<\/span> ), size= 1000<\/span> )\n\n#view first five values\n<\/span>lognorm_values[:5]\n\narray([13.79554017, 1.47438888, 1.60292205, 0.92963, 6.45856805])\n<\/strong><\/span><\/pre>\n
 lognorm.rvs()<\/strong> i\u015flevinde s’nin<\/strong> standart sapma oldu\u011funu ve math.exp()’<\/strong> deki de\u011ferin olu\u015fturmak istedi\u011finiz lognormal da\u011f\u0131l\u0131m\u0131n ortalamas\u0131 oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Bu \u00f6rnekte ortalamay\u0131 1<\/strong> , standart sapmay\u0131 da 1<\/strong> olarak ayarlad\u0131k.<\/span><\/p>\n
 Lognormal da\u011f\u0131l\u0131m nas\u0131l \u00e7izilir<\/strong><\/h3>\n
 \u00d6nceki \u00f6rnekte olu\u015fturdu\u011fumuz logaritmik normal da\u011f\u0131l\u0131ma sahip rastgele de\u011fi\u015fkenin de\u011ferlerinin histogram\u0131n\u0131 olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create histogram<\/span>\nplt. hist<\/span> (lognorm_values, density= True<\/span> , edgecolor=' black<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 Matplotlib, histogramlarda varsay\u0131lan olarak 10 kutuya sahiptir, ancak bu say\u0131y\u0131 bins<\/strong> arg\u00fcman\u0131n\u0131 kullanarak kolayca art\u0131rabiliriz.<\/span><\/p>\n
 \u00d6rne\u011fin kutu say\u0131s\u0131n\u0131 20’ye \u00e7\u0131karabiliriz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create histogram<\/span>\nplt. hist<\/span> (lognorm_values, density= True<\/span> , edgecolor=' black<\/span> ', bins= 20<\/span> )<\/strong> <\/pre>\n
\"Python'da<\/p>\n
 Kutu say\u0131s\u0131 ne kadar fazla olursa histogramdaki \u00e7ubuklar o kadar dar olur.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer olas\u0131l\u0131k da\u011f\u0131l\u0131mlar\u0131n\u0131n nas\u0131l kullan\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Python’da Poisson da\u011f\u0131l\u0131m\u0131 nas\u0131l kullan\u0131l\u0131r?<\/a>
 Python’da \u00dcstel Da\u011f\u0131l\u0131m Nas\u0131l Kullan\u0131l\u0131r?<\/a>
 Python’da D\u00fczg\u00fcn Da\u011f\u0131t\u0131m Nas\u0131l Kullan\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Log-normal da\u011f\u0131l\u0131m\u0131 izleyen rastgele bir de\u011fi\u015fken olu\u015fturmak i\u00e7in Python’daki SciPy k\u00fct\u00fcphanesinin lognorm() fonksiyonunu kullanabilirsiniz. A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. Lognormal da\u011f\u0131l\u0131m nas\u0131l olu\u015fturulur? \u03bc = 1 ve \u03c3 = 1 ile log-normal da\u011f\u0131l\u0131m\u0131 izleyen bir rastgele de\u011fi\u015fken olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabilirsiniz: import math import numpy as np from scipy. stats import […]<\/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-3147","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPython'da log-normal da\u011f\u0131l\u0131m nas\u0131l kullan\u0131l\u0131r - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python'da lognormal da\u011f\u0131l\u0131m\u0131n nas\u0131l kullan\u0131laca\u011f\u0131 birka\u00e7 \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\/normal-gunluk-python-dagilimi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python'da log-normal da\u011f\u0131l\u0131m nas\u0131l kullan\u0131l\u0131r - 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 \u0130lgili:<\/strong> Matplotlib Histogramlar\u0131nda Kutu Boyutunu Ayarlaman\u0131n \u00dc\u00e7 Yolu<\/a><\/span><\/p>\n