<\/p>\n
Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir hata:<\/span><\/p>\n Bu hata genellikle float64<\/strong> t\u00fcr\u00fcndeki bir NumPy de\u011fi\u015fkenine yeni bir de\u011fer atamak i\u00e7in k\u00f6\u015feli parantez 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 Diyelim ki 15.22<\/strong> de\u011ferine sahip bir NumPy de\u011fi\u015fkeni olu\u015fturduk ve ona 13.7<\/strong> gibi yeni bir de\u011fer vermek i\u00e7in parantez kullanmaya \u00e7al\u0131\u015ft\u0131k:<\/span><\/p>\n ‘numpy.float64’ nesnesinin \u00f6\u011fe atamas\u0131n\u0131 desteklemedi\u011fi<\/strong> hatas\u0131n\u0131 al\u0131yoruz.<\/span><\/p>\n One_float<\/strong> bir skaler oldu\u011fu i\u00e7in bu hatay\u0131 ald\u0131k ancak onu, dizin konumu 0’daki de\u011feri de\u011fi\u015ftirmek i\u00e7in k\u00f6\u015feli parantez kullanabilece\u011fimiz bir dizi olarak ele almaya \u00e7al\u0131\u015ft\u0131k.<\/span><\/p>\n one_float<\/strong> bir dizi olmad\u0131\u011f\u0131ndan de\u011ferini de\u011fi\u015ftirmeye \u00e7al\u0131\u015f\u0131rken k\u00f6\u015feli parantez kullanamay\u0131z.<\/span><\/p>\n Bu hatay\u0131 \u00e7\u00f6zmenin yolu, kayan noktaya yeni bir de\u011fer atarken k\u00f6\u015feli parantez kullanmamakt\u0131r:<\/span><\/p>\n Parantez kullanmad\u0131\u011f\u0131m\u0131z i\u00e7in de\u011feri 15,22’den<\/strong> 13,7’ye<\/strong> de\u011fi\u015ftirmeyi ba\u015fard\u0131k.<\/span><\/p>\n Bir diziyle \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z s\u00fcrece belirli dizin konumlar\u0131ndaki de\u011ferleri de\u011fi\u015ftirmek i\u00e7in k\u00f6\u015feli parantez kullanman\u0131n m\u00fcmk\u00fcn oldu\u011funu unutmay\u0131n.<\/span><\/p>\n \u00d6rne\u011fin, a\u015fa\u011f\u0131daki kod, bir NumPy dizisinin ilk \u00f6\u011fesinin k\u00f6\u015feli ayra\u00e7 g\u00f6sterimi kullan\u0131larak 15,22’den<\/strong> 13,7’ye<\/strong> nas\u0131l de\u011fi\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n Bu sefer de bir NumPy dizisiyle \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z i\u00e7in hata alm\u0131yoruz, dolay\u0131s\u0131yla parantez kullanmak mant\u0131kl\u0131.<\/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 Python’da Nas\u0131l D\u00fczeltilir: ‘numpy.ndarray’ nesnesi \u00e7a\u011fr\u0131labilir de\u011fil<\/a> Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir hata: TypeError: ‘numpy.float64’ object does not support item assignment Bu hata genellikle float64 t\u00fcr\u00fcndeki bir NumPy de\u011fi\u015fkenine yeni bir de\u011fer atamak i\u00e7in k\u00f6\u015feli parantez 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? Diyelim ki 15.22 de\u011ferine sahip bir NumPy de\u011fi\u015fkeni olu\u015fturduk ve […]<\/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-3564","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError: 'numpy.float64' object does not support item assignment\n<\/strong><\/span><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h2>\n
import<\/span> numpy as<\/span> np\n\n#define some float value\n<\/span>one_float = np. float64<\/span> (15.22)\n\n#attempt to modify float value to be 13.7\n<\/span>one_float[0] = 13.7\n\nTypeError: 'numpy.float64' object does not support item assignment\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h2>\n
#modify float value to be 13.7\n<\/span>one_float = 13.7\n\n#view float\n<\/span>print<\/span> (one_float)\n\n13.7<\/span><\/span><\/strong><\/pre>\n import<\/span> numpy as<\/span> np\n\n#define a NumPy array of floats\n<\/span>many_floats = np. float64<\/span> ([15.22, 34.2, 15.4, 13.2, 33.4])\n\n#modify float value in first index position of array to be 13.7\n<\/span>many_floats[0] = 13.7\n\n#view updated array\n<\/span>print<\/span> (many_floats)\n\n[13.7 34.2 15.4 13.2 33.4]\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Nas\u0131l d\u00fczeltilir: TypeError: ‘numpy.float64’ nesnesi \u00e7a\u011fr\u0131labilir de\u011fil<\/a>
Nas\u0131l Onar\u0131l\u0131r: T\u00fcr Hatas\u0131: Beklenen Dize veya Bayt Nesnesi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"