<\/p>\n
Python’da NumPy kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir hata:<\/span><\/p>\n Bu hata genellikle bir NumPy dizisini k\u00f6\u015feli parantezler [ ]<\/strong> yerine yuvarlak parantezleri ()<\/strong> kullanarak bir i\u015flev olarak \u00e7a\u011f\u0131rmaya \u00e7al\u0131\u015f\u0131rken ortaya \u00e7\u0131kar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi dizinin ilk eleman\u0131na eri\u015fmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Round ()<\/strong> parantezleri kulland\u0131\u011f\u0131m\u0131z i\u00e7in Python, NumPy x<\/strong> dizisini bir fonksiyon olarak \u00e7a\u011f\u0131rmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 d\u00fc\u015f\u00fcn\u00fcyor.<\/span><\/p>\n X bir fonksiyon olmad\u0131\u011f\u0131 i\u00e7in hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 \u00e7\u00f6zmenin yolu, NumPy dizi \u00f6\u011felerine eri\u015firken yuvarlak parantez ()<\/strong> yerine k\u00f6\u015feli parantez [ ]<\/strong> kullanmakt\u0131r:<\/span><\/p>\n Dizinin ilk eleman\u0131 (2) g\u00f6r\u00fcnt\u00fcleniyor ve k\u00f6\u015feli parantez [ ]<\/strong> kulland\u0131\u011f\u0131m\u0131z i\u00e7in herhangi bir hata alm\u0131yoruz.<\/span><\/p>\n Ayr\u0131ca k\u00f6\u015feli parantez [ ]<\/strong> kulland\u0131\u011f\u0131m\u0131z s\u00fcrece birden fazla dizi \u00f6\u011fesine ayn\u0131 anda eri\u015febilece\u011fimizi 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 Nas\u0131l Onar\u0131l\u0131r: ValueError: Dizin yinelenen giri\u015fler i\u00e7eriyor, yeniden \u015fekillendirilemez<\/a> Python’da NumPy kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir hata: TypeError : ‘numpy.ndarray’ object is not callable Bu hata genellikle bir NumPy dizisini k\u00f6\u015feli parantezler [ ] yerine yuvarlak parantezleri () kullanarak bir i\u015flev olarak \u00e7a\u011f\u0131rmaya \u00e7al\u0131\u015f\u0131rken ortaya \u00e7\u0131kar. A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. Hata nas\u0131l yeniden olu\u015fturulur? A\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m: import […]<\/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-2499","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError<\/span> : 'numpy.ndarray' object is not callable\n<\/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> ([2, 4, 4, 5, 9, 12, 14, 17, 18, 20, 22, 25])\n<\/span><\/span><\/strong><\/pre>\n #attempt to access the first element in the array\nx(0)\n\nTypeError<\/span> : 'numpy.ndarray' object is not callable\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#access the first element in the array\nx[0]\n\n2<\/span><\/span><\/strong><\/pre>\n #find sum of first three elements in array\nx[0] + x[1] + x[2]\n\n10<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Nas\u0131l Onar\u0131l\u0131r: T\u00fcr Hatas\u0131: Beklenen Dize veya Bayt Nesnesi<\/a>
Nas\u0131l d\u00fczeltilir: TypeError: ‘numpy.float64’ nesnesi \u00e7a\u011fr\u0131labilir de\u011fil<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"