{"id":1937,"date":"2023-07-24T09:32:53","date_gmt":"2023-07-24T09:32:53","guid":{"rendered":"https:\/\/statorials.org\/tr\/geometrik-ortalama-pitonu\/"},"modified":"2023-07-24T09:32:53","modified_gmt":"2023-07-24T09:32:53","slug":"geometrik-ortalama-pitonu","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/geometrik-ortalama-pitonu\/","title":{"rendered":"Python'da geometrik ortalama nas\u0131l hesaplan\u0131r (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

Python’da geometrik ortalamay\u0131 hesaplaman\u0131n iki yolu vard\u0131r:<\/span><\/p>\n

Y\u00f6ntem 1: SciPy Kullanarak Geometrik Ortalamay\u0131 Hesaplama<\/strong><\/span><\/p>\n

 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([value1, value2, value3, ...])\n<\/strong><\/pre>\n
 Y\u00f6ntem 2: NumPy Kullanarak Geometrik Ortalamay\u0131 Hesaplay\u0131n<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\n    return<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean<\/span>\ng_mean([value1, value2, value3, ...])<\/span><\/strong><\/pre>\n
 Her iki y\u00f6ntem de tamamen ayn\u0131 sonu\u00e7lar\u0131 verecektir.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler bu y\u00f6ntemlerin her birinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n
 \u00d6rnek 1: SciPy Kullanarak Geometrik Ortalamay\u0131 Hesaplay\u0131n<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, bir de\u011ferler dizisinin geometrik ortalamas\u0131n\u0131 hesaplamak i\u00e7in SciPy<\/a> k\u00fct\u00fcphanesinin gmean()<\/strong> fonksiyonunun nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029\n<\/strong><\/pre>\n
 Geometrik ortalama 4,8179<\/strong> olarak \u00e7\u0131k\u0131yor.<\/span><\/p>\n
 \u00d6rnek 2: NumPy Kullanarak Geometrik Ortalamay\u0131 Hesaplay\u0131n<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, NumPy<\/a> kitapl\u0131\u011f\u0131n\u0131n yerle\u015fik i\u015flevlerini kullanarak geometrik ortalamay\u0131 hesaplamak i\u00e7in \u00f6zel bir i\u015flevin nas\u0131l yaz\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\nreturn<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean\n<\/span>g_mean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029<\/span>\n<\/strong><\/pre>\n
 Geometrik ortalama 4,8179<\/strong> olarak ortaya \u00e7\u0131k\u0131yor ve bu da \u00f6nceki \u00f6rnekteki sonu\u00e7la e\u015fle\u015fiyor.<\/span><\/p>\n
 S\u0131f\u0131rlarla nas\u0131l ba\u015f edilir<\/strong><\/span><\/h3>\n
 \u00c7al\u0131\u015ft\u0131\u011f\u0131n\u0131z dizide s\u0131f\u0131rlar varsa her iki y\u00f6ntemin de s\u0131f\u0131r d\u00f6nd\u00fcrece\u011fini unutmay\u0131n.<\/span><\/p>\n
 Dolay\u0131s\u0131yla, geometrik ortalamay\u0131 hesaplamadan \u00f6nce bir dizideki s\u0131f\u0131rlar\u0131 kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanabilirsiniz:<\/span><\/p>\n
 #create array with some zeros\n<\/span>x = [1, 0, 0, 6, 6, 0, 8, 9]\n\n#remove zeros from array \n<\/span>x_new = [i for<\/span> i in<\/span> x if<\/span> i != 0]\n\n#view updated array\n<\/span>print<\/span> (x_new)\n\n[1, 6, 6, 8, 9]\n<\/span><\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Python’da Ortalama Kare Hatas\u0131 (MSE) Nas\u0131l Hesaplan\u0131r?<\/a>
 Python’da Ortalama Mutlak Hata Nas\u0131l Hesaplan\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python’da geometrik ortalamay\u0131 hesaplaman\u0131n iki yolu vard\u0131r: Y\u00f6ntem 1: SciPy Kullanarak Geometrik Ortalamay\u0131 Hesaplama from scipy. stats import gmean #calculate geometric mean gmean([value1, value2, value3, …]) Y\u00f6ntem 2: NumPy Kullanarak Geometrik Ortalamay\u0131 Hesaplay\u0131n import numpy as np #define custom function def g_mean(x): a = np. log (x) return np. exp ( a.mean ()) #calculate geometric […]<\/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-1937","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPython'da Geometrik Ortalama Nas\u0131l Hesaplan\u0131r (\u00d6rneklerle) - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python'da bir dizinin geometrik ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\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\/geometrik-ortalama-pitonu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python'da Geometrik Ortalama Nas\u0131l Hesaplan\u0131r (\u00d6rneklerle) - 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