<\/p>\n
Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata genellikle iki nedenden biriyle olu\u015fur:<\/span><\/p>\n 1.<\/strong> Bir listede dizi indeksleme yapmay\u0131 denediniz.<\/span><\/p>\n 2.<\/strong> Yanl\u0131\u015f s\u00f6zdizimi kullanarak iki matrisi birle\u015ftirmeye \u00e7al\u0131\u015ft\u0131n\u0131z.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her iki senaryoda da bu hatalar\u0131n nas\u0131l \u00f6nlenebilece\u011fini g\u00f6stermektedir.<\/span><\/p>\n Matplotlib’de g\u00f6sterge ve etiketlerle bir \u00e7izgi grafi\u011fi olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Bir listede dizi indekslemeyi kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z i\u00e7in bir hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 \u00f6nlemek i\u00e7in \u00f6ncelikle listeyi np.array()<\/strong> kullanarak a\u015fa\u011f\u0131daki gibi bir NumPy dizisine d\u00f6n\u00fc\u015ft\u00fcrmeliyiz:<\/span><\/p>\n Listeyi ilk kez bir NumPy dizisine d\u00f6n\u00fc\u015ft\u00fcrd\u00fc\u011f\u00fcm\u00fcz i\u00e7in bu sefer herhangi bir hata olmadan listeden rastgele iki de\u011fer se\u00e7ebiliyoruz.<\/span><\/p>\n \u0130ki NumPy matrisini birle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Matrisleri concatenate()<\/strong> i\u015flevine bir tan\u0131mlama grubu olarak sa\u011flayamad\u0131\u011f\u0131m\u0131z i\u00e7in bir hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 \u00f6nlemek i\u00e7in, matrisleri concatenate()<\/strong> i\u015flevine demet bi\u00e7iminde sa\u011flamak i\u00e7in \u00e7ift parantez kullanmal\u0131s\u0131n\u0131z:<\/span><\/p>\n Bu sefer iki matrisi hatas\u0131z bir \u015fekilde birle\u015ftirmeyi ba\u015fard\u0131k.<\/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: TypeError : only integer scalar arrays can be converted to a scalar index Bu hata genellikle iki nedenden biriyle olu\u015fur: 1. Bir listede dizi indeksleme yapmay\u0131 denediniz. 2. Yanl\u0131\u015f s\u00f6zdizimi kullanarak iki matrisi birle\u015ftirmeye \u00e7al\u0131\u015ft\u0131n\u0131z. A\u015fa\u011f\u0131daki \u00f6rnekler, her iki senaryoda da bu hatalar\u0131n nas\u0131l \u00f6nlenebilece\u011fini g\u00f6stermektedir. \u00d6rnek 1: Bir listede […]<\/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-3239","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError<\/strong><\/span> : only integer scalar arrays can be converted to a scalar index<\/strong><\/span><\/pre>\n \u00d6rnek 1: Bir listede dizi indeksleme yapmay\u0131 denediniz.<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create a list of values\n<\/span>data = [3, 5, 5, 7, 8, 10, 12, 14]\n\n#choose 3 random values from list\n<\/span>random_values = np. random<\/span> . choice<\/span> (range(len(data)), size= 2<\/span> )\n\n#attempt to use indexing to access elements in list\n<\/span>random_vals = data[random_values. astype<\/span> (int)]\n\n#view results\n<\/span>random_vals\n\nTypeError<\/span> : only integer scalar arrays can be converted to a scalar index\n<\/strong><\/span><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create a list of values\n<\/span>data = [3, 5, 5, 7, 8, 10, 12, 14]\n\n#choose 3 random values from list\n<\/span>random_values = np. random<\/span> . choice<\/span> (range(len(data)), size= 2<\/span> )\n\n#attempt to use indexing to access elements in list\n<\/span>random_vals = np. array<\/span> (data)[random_values. astype<\/span> (int)]\n\n#view results\n<\/span>random_vals\n\narray([5, 7])\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: Yanl\u0131\u015f s\u00f6zdizimi kullanarak iki matrisi birle\u015ftirmeye \u00e7al\u0131\u015ft\u0131n\u0131z.<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create twoNumPy matrices\nmat1 = np. matrix<\/span> ([[3, 5], [5, 7]])\nmat2 = np. matrix<\/span> ([[2, 4], [1, 8]])\n\n#attempt to concatenate both matrices\n<\/span>n.p. concatenate<\/span> (mat1, mat2)\n\nTypeError<\/span> : only integer scalar arrays can be converted to a scalar index\n<\/span><\/span><\/strong><\/span><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create twoNumPy matrices\nmat1 = np. matrix<\/span> ([[3, 5], [5, 7]])\nmat2 = np. matrix<\/span> ([[2, 4], [1, 8]])<\/span>\n\n#attempt to concatenate both matrices\nn.p. concatenate<\/span> ((mat1, mat2))\n\nmatrix([[3, 5],\n [5, 7],\n [2, 4],\n [1, 8]])\n<\/span><\/span><\/strong><\/span><\/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":"