<\/p>\n
NumPy’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, dizin \u00f6zniteliklerinin bulunmad\u0131\u011f\u0131 bir NumPy dizisinde index()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l \u00e7\u00f6z\u00fclece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Dizideki minimum ve maksimum de\u011ferleri bulmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n \u015eimdi dizideki minimum ve maksimum de\u011ferlerin indeks konumunu bulmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Bir NumPy dizisine index()<\/strong> i\u015flevini uygulayamad\u0131\u011f\u0131m\u0131z i\u00e7in bir hata al\u0131yoruz.<\/span><\/p>\n NumPy dizisindeki minimum ve maksimum de\u011ferlerin indeks konumunu bulmak i\u00e7in NumPywhere ()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Bir NumPy dizisindeki herhangi bir de\u011ferin indeks konumunu bulmak i\u00e7in ayn\u0131 genel s\u00f6zdizimini kullanabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, NumPy dizisinde hangi dizin konumlar\u0131n\u0131n 9 de\u011ferine e\u015fit oldu\u011funu bulmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sonu\u00e7tan 5, 6 ve 8 numaral\u0131 indeks konumlar\u0131ndaki de\u011ferlerin hepsinin 9’a<\/strong> e\u015fit oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\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> NumPy’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata: AttributeError : ‘numpy.ndarray’ object has no attribute ‘index’ Bu hata, dizin \u00f6zniteliklerinin bulunmad\u0131\u011f\u0131 bir NumPy dizisinde index() i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar. A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l \u00e7\u00f6z\u00fclece\u011fi g\u00f6sterilmektedir. Hata nas\u0131l yeniden olu\u015fturulur? A\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m: import numpy as np #create NumPy array x = np. […]<\/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-2206","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n AttributeError : 'numpy.ndarray' object has no attribute 'index'\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create NumPy array\nx = np. array<\/span> ([4, 7, 3, 1, 5, 9, 9, 15, 9, 18])\n<\/span><\/span><\/strong><\/pre>\n #find minimum and maximum values of array\nmin_val = np. min<\/span> (x)\nmax_val = np. max<\/span> (x)\n\n#print minimum and maximum values\n<\/span>print<\/span> (min_val, max_val)\n\n1 18<\/span><\/span><\/strong><\/pre>\n #attempt to print index position of minimum value\nx. index<\/span> (min_val)\n\nAttributeError<\/span> : 'numpy.ndarray' object has no attribute 'index'\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l \u00e7\u00f6z\u00fcl\u00fcr?<\/strong><\/span><\/h3>\n
#find index position of minimum value<\/span>\nn.p. where<\/span> (x == min_val)\n\n(array([3]),)\n\n#find index position of maximum value\n<\/span>n.p. where<\/span> (x == max_val)\n\n(array([9]),)\n<\/span><\/span><\/strong><\/pre>\n\n
#find index positions that are equal to the value 9\n<\/span>n.p. where<\/span> (x == 9<\/span> )\n\n(array([5, 6, 8]),)\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
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":"