{"id":2338,"date":"2023-07-22T17:21:17","date_gmt":"2023-07-22T17:21:17","guid":{"rendered":"https:\/\/statorials.org\/tr\/double_scalarsta-runtimewarning-gecersiz-degerle-karsilasildi\/"},"modified":"2023-07-22T17:21:17","modified_gmt":"2023-07-22T17:21:17","slug":"double_scalarsta-runtimewarning-gecersiz-degerle-karsilasildi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/double_scalarsta-runtimewarning-gecersiz-degerle-karsilasildi\/","title":{"rendered":"Nas\u0131l d\u00fczeltilir: runtimewarning: double_scalars'ta ge\u00e7ersiz de\u011ferle kar\u015f\u0131la\u015f\u0131ld\u0131"},"content":{"rendered":"

<\/p>\n

\n

Python’da kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n

 runtimewarning: invalid value encountered in double_scalars\n<\/strong><\/pre>\n
 Bu hata, \u00e7ok k\u00fc\u00e7\u00fck veya \u00e7ok b\u00fcy\u00fck say\u0131lar i\u00e7eren bir matematiksel i\u015flem ger\u00e7ekle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar ve Python, sonu\u00e7 olarak basit\u00e7e bir NaN de\u011feri \u00fcretir.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n
 Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki matematiksel i\u015flemi iki NumPy dizisiyle ger\u00e7ekle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define two NumPy arrays\n<\/span>array1 = np. array<\/span> ([[1100, 1050]])\narray2 = np. array<\/span> ([[1200, 4000]])\n\n#perform complex mathematical operation\n<\/span>n.p. exp<\/span> (-3*array1). sum<\/span> () \/ np. exp<\/span> (-3*array2). sum<\/span> ()\n\nRuntimeWarning: invalid value encountered in double_scalars\n<\/span><\/span><\/strong><\/pre>\n
 Paydadaki sonu\u00e7 s\u0131f\u0131ra \u00e7ok yak\u0131n oldu\u011fu i\u00e7in RuntimeWarning<\/strong> al\u0131yoruz.<\/span><\/p>\n
 Bu, b\u00f6lme probleminin cevab\u0131n\u0131n son derece b\u00fcy\u00fck olaca\u011f\u0131 ve Python’un bu kadar b\u00fcy\u00fck bir de\u011feri i\u015fleyemeyece\u011fi anlam\u0131na gelir.<\/span><\/p>\n
 Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
 Genellikle bu t\u00fcr hatalar\u0131 d\u00fczeltmenin yolu, hesaplamalarda a\u015f\u0131r\u0131 k\u00fc\u00e7\u00fck veya a\u015f\u0131r\u0131 b\u00fcy\u00fck de\u011ferleri i\u015fleyebilen ba\u015fka bir Python k\u00fct\u00fcphanesinden \u00f6zel bir fonksiyon kullanmakt\u0131r.<\/span><\/p>\n
 Bu durumda SciPy k\u00fct\u00fcphanesindeki logsumexp()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nfrom<\/span> scipy. special<\/span> import<\/span> logsumexp\n\n#define two NumPy arrays\n<\/span>array1 = np. array<\/span> ([[1100, 1050]])\narray2 = np. array<\/span> ([[1200, 4000]])\n\n#perform complex mathematical operation\n<\/span>n.p. exp<\/span> (logsumexp(-3*array1) - logsumexp(-3*array2))\n\n2.7071782767869983e+195\n<\/span><\/span><\/strong><\/pre>\n
 Sonucun son derece b\u00fcy\u00fck oldu\u011funu ancak herhangi bir hata almad\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n \u00e7\u00fcnk\u00fc bu t\u00fcr say\u0131lar\u0131 i\u015flemek i\u00e7in SciPy k\u00fct\u00fcphanesinden \u00f6zel bir matematik fonksiyonu kulland\u0131k.<\/span><\/p>\n
 \u00c7o\u011fu durumda, SciPy k\u00fct\u00fcphanesinde<\/a> a\u015f\u0131r\u0131 matematiksel i\u015flemleri ger\u00e7ekle\u015ftirebilecek \u00f6zel i\u015flevler aramaya de\u011fer \u00e7\u00fcnk\u00fc bu i\u015flevler \u00f6zellikle bilimsel hesaplama i\u00e7in tasarlanm\u0131\u015ft\u0131r.<\/span><\/p>\n
 Not<\/strong> : Logsumexp()<\/strong> i\u015flevine ili\u015fkin \u00e7evrimi\u00e7i belgelerin tamam\u0131n\u0131 burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde Python’daki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Pandas’ta KeyError Nas\u0131l D\u00fczeltilir<\/a>
 Nas\u0131l d\u00fczeltilir? ValueError: float NaN int’ye d\u00f6n\u00fc\u015ft\u00fcr\u00fclemiyor<\/a>
 Nas\u0131l d\u00fczeltilir? ValueError: \u0130\u015flenenler \u015fekillerle yay\u0131nlanamad\u0131<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python’da kar\u015f\u0131la\u015fabilece\u011finiz bir hata: runtimewarning: invalid value encountered in double_scalars Bu hata, \u00e7ok k\u00fc\u00e7\u00fck veya \u00e7ok b\u00fcy\u00fck say\u0131lar i\u00e7eren bir matematiksel i\u015flem ger\u00e7ekle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar ve Python, sonu\u00e7 olarak basit\u00e7e bir NaN de\u011feri \u00fcretir. A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir. Hata nas\u0131l yeniden olu\u015fturulur? A\u015fa\u011f\u0131daki matematiksel i\u015flemi iki NumPy dizisiyle ger\u00e7ekle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\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-2338","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nNas\u0131l d\u00fczeltilir: runtimewarning: double_scalars'ta ge\u00e7ersiz de\u011ferle kar\u015f\u0131la\u015f\u0131ld\u0131 - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python'da a\u015fa\u011f\u0131daki hatan\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r: runtimewarning: Invalid value created in double_scalars.\" \/>\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\/double_scalarsta-runtimewarning-gecersiz-degerle-karsilasildi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nas\u0131l d\u00fczeltilir: runtimewarning: double_scalars'ta ge\u00e7ersiz de\u011ferle kar\u015f\u0131la\u015f\u0131ld\u0131 - 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