<\/p>\n
Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata genellikle birden fazla say\u0131y\u0131 bir NumPy dizisinde tek bir konumda gruplamaya \u00e7al\u0131\u015f\u0131rken 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 NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi dizinin ilk konumuna iki say\u0131 yerle\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Hata bize tam olarak neyi yanl\u0131\u015f yapt\u0131\u011f\u0131m\u0131z\u0131 s\u00f6yl\u00fcyor: NumPy dizisinin bir \u00f6\u011fesini bir dizi de\u011ferle tan\u0131mlamaya \u00e7al\u0131\u015ft\u0131k.<\/span><\/p>\n \u00d6zellikle NumPy dizisinin ilk pozisyonuna “4” ve “5” de\u011ferlerini yerle\u015ftirmeye \u00e7al\u0131\u015ft\u0131k.<\/span><\/p>\n Bu m\u00fcmk\u00fcn olmad\u0131\u011f\u0131ndan hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin yolu, dizinin ilk konumuna basit\u00e7e bir de\u011fer atamakt\u0131r:<\/span><\/span><\/p>\n Herhangi bir hata almad\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n Dizi elemanlar\u0131na asl\u0131nda iki yeni de\u011fer atamak istiyorsak a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanmam\u0131z gerekir:<\/span><\/p>\n Tablodaki ilk iki de\u011ferin de\u011fi\u015fti\u011fini, di\u011fer t\u00fcm de\u011ferlerin ayn\u0131 kald\u0131\u011f\u0131n\u0131 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> Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata: ValueError : setting an array element with a sequence. Bu hata genellikle birden fazla say\u0131y\u0131 bir NumPy dizisinde tek bir konumda gruplamaya \u00e7al\u0131\u015f\u0131rken 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 NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m: import numpy as np #create NumPy array […]<\/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-2339","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n ValueError<\/span> : setting an array element with a sequence.\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\ndata = np. array<\/span> ([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])<\/span>\n<\/span><\/strong><\/pre>\n #attempt to cram values '4' and '5' both into first position of NumPy array\ndata[0] = np. array<\/span> ([4,5])\n\nValueError<\/span> : setting an array element with a sequence.\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#assign the value '4' to the first position of the array\ndata[0] = np. array<\/span> ([4])\n\n#view updated array<\/span>\ndata\n\narray([ 4, 2, 3, 4, 5, 6, 7, 8, 9, 10])\n<\/span><\/span><\/strong><\/pre>\n #assign the values '4' and '5' to the first two positions of the array\ndata[0:2] = np. array<\/span> ([4, 5])\n\n#view updated array\n<\/span>data\n\narray([ 4, 5, 3, 4, 5, 6, 7, 8, 9, 10])<\/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":"