<\/p>\n
NumPy’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, tamsay\u0131 bekleyen bir i\u015fleve kayan nokta sa\u011flad\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 Bir NumPy dizisine farkl\u0131 say\u0131lar\u0131 yazd\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki for d\u00f6ng\u00fcs\u00fcn\u00fc kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n range()<\/strong> fonksiyonu tamsay\u0131 bekledi\u011finden fakat NumPy dizisindeki de\u011ferler kayan nokta oldu\u011fundan hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 h\u0131zl\u0131 bir \u015fekilde d\u00fczeltmenin iki yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: int() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin bir yolu, \u00e7a\u011fr\u0131y\u0131 int()<\/strong> ile a\u015fa\u011f\u0131daki gibi sarmakt\u0131r:<\/span><\/p>\n Daha \u00f6nce kar\u015f\u0131la\u015ft\u0131\u011f\u0131m\u0131z TypeError hatas\u0131n\u0131<\/strong> \u00f6nlemek i\u00e7in int()<\/strong> fonksiyonunu kullanarak NumPy dizisindeki her float de\u011ferini bir tamsay\u0131ya d\u00f6n\u00fc\u015ft\u00fcr\u00fcyoruz.<\/span><\/p>\n Y\u00f6ntem 2: .astype(int) i\u015flevini kullanma<\/strong><\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin ba\u015fka bir yolu da \u00f6ncelikle NumPy dizisi de\u011ferlerini tam say\u0131lara d\u00f6n\u00fc\u015ft\u00fcrmektir:<\/span><\/p>\n Bu y\u00f6ntemi kullanarak TypeError’dan<\/strong> tekrar ka\u00e7\u0131n\u0131r\u0131z.<\/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: TypeError : ‘numpy.float64’ object cannot be interpreted as an integer Bu hata, tamsay\u0131 bekleyen bir i\u015fleve kayan nokta sa\u011flad\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? Bir NumPy dizisine farkl\u0131 say\u0131lar\u0131 yazd\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki for d\u00f6ng\u00fcs\u00fcn\u00fc kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m: import numpy as 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-2263","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError<\/span> : 'numpy.float64' object cannot be interpreted as an integer\n<\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#define array of values<\/span>\ndata = np. array<\/span> ([3.3, 4.2, 5.1, 7.7, 10.8, 11.4])\n\n#use for loop to print out range of values at each index\n<\/span>for<\/span> i in<\/span> range(len(data)):\n print<\/span> (range(data[i]))\n\nTypeError<\/span> : 'numpy.float64' object cannot be interpreted as an integer\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#define array of values<\/span>\ndata = np. array<\/span> ([3.3, 4.2, 5.1, 7.7, 10.8, 11.4])\n\n#use for loop to print out range of values at each index\n<\/span>for<\/span> i in<\/span> range(len(data)):\n print<\/span> (range(int(data[i])))\n\nrange(0, 3)\nrange(0, 4)\nrange(0, 5)\nrange(0, 7)\nrange(0, 10)\nrange(0, 11)\n<\/span><\/span><\/strong><\/pre>\n import<\/span> numpy as<\/span> np\n\n#define array of values\n<\/span>data = np. array<\/span> ([3.3, 4.2, 5.1, 7.7, 10.8, 11.4])\n\n#convert array of floats to array of integers<\/span>\ndata_int = data. astype<\/span> (int)\n\n#use for loop to print out range of values at each index\n<\/span>for<\/span> i in<\/span> range(len(data)):\n print<\/span> (range(data[i]))\n\nrange(0, 3)\nrange(0, 4)\nrange(0, 5)\nrange(0, 7)\nrange(0, 10)\nrange(0, 11)<\/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":"