<\/p>\n
NumPy’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, farkl\u0131 boyutlardaki iki NumPy dizisini birle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki iki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi iki diziyi tek bir dizide birle\u015ftirmek i\u00e7in concatenate()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n \u0130ki dizinin boyutlar\u0131 farkl\u0131 oldu\u011fundan ValueError hatas\u0131<\/strong> al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmek i\u00e7in iki y\u00f6ntem kullanabiliriz.<\/span><\/span><\/p>\n Y\u00f6ntem 1: np.column_stack’\u0131 kullan\u0131n<\/strong><\/span><\/p>\n Hatalardan ka\u00e7\u0131narak iki tabloyu birle\u015ftirmenin bir yolu , s\u00fctun_stack()<\/strong> i\u015flevini a\u015fa\u011f\u0131daki gibi kullanmakt\u0131r:<\/span><\/p>\n \u0130ki diziyi herhangi bir hata olmadan ba\u015far\u0131yla birle\u015ftirebildi\u011fimizi unutmay\u0131n.<\/span><\/p>\n Y\u00f6ntem 2: np.c_ kullan\u0131n<\/strong><\/span><\/p>\n Ayr\u0131ca np.c_<\/strong> fonksiyonunu kullanarak hatalardan ka\u00e7\u0131narak iki tabloyu a\u015fa\u011f\u0131daki gibi birle\u015ftirebiliriz:<\/span><\/p>\n Bu fonksiyonun \u00f6nceki y\u00f6ntemle tamamen ayn\u0131 sonucu d\u00f6nd\u00fcrd\u00fc\u011f\u00fcn\u00fc unutmay\u0131n.<\/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: ValueError : all the input arrays must have same number of dimensions Bu hata, farkl\u0131 boyutlardaki iki NumPy dizisini birle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar. 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 iki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m: import numpy as np #create first array array1 […]<\/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-2187","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n ValueError<\/span> : all the input arrays must have same number of dimensions<\/span><\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create first array\narray1 = np. array<\/span> ([[1, 2], [3, 4], [5,6], [7,8]])\n\nprint<\/span> (array1) \n\n[[1 2]\n [3 4]\n [5 6]\n [7 8]]\n\n#create second array \n<\/span>array2 = np. array<\/span> ([9,10,11,12])\n\nprint<\/span> (array2)\n\n[9 10 11 12]<\/span><\/span><\/strong><\/pre>\n #attempt to concatenate the two arrays\nn.p. concatenate<\/span> ([array1, array2])\n\nValueError : all the input arrays must have same number of dimensions, but the array at<\/span>\nindex 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
n.p. column_stack<\/span> ((array1, array2))\n\narray([[ 1, 2, 9],\n [3, 4, 10],\n [5, 6, 11],\n [7, 8, 12]])\n<\/span><\/span><\/strong><\/pre>\n n.p. c_<\/span> [array1, array2]\n\narray([[ 1, 2, 9],\n [3, 4, 10],\n [5, 6, 11],\n [7, 8, 12]])\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":"