<\/p>\n
Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, iki panda DataFrame’i kar\u015f\u0131la\u015ft\u0131rmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ve dizin etiketleri veya s\u00fctun etiketleri tam olarak e\u015fle\u015fmedi\u011finde 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 iki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n S\u00fctun etiketlerinin e\u015fle\u015fti\u011fini ancak dizin etiketlerinin e\u015fle\u015fmedi\u011fini unutmay\u0131n.<\/span><\/p>\n \u0130ki DataFrame’i kar\u015f\u0131la\u015ft\u0131rmaya \u00e7al\u0131\u015f\u0131rsak bir hata al\u0131r\u0131z:<\/span><\/p>\n Bu hatay\u0131 gidermek i\u00e7in kullanabilece\u011fimiz birka\u00e7 y\u00f6ntem var.<\/span><\/span><\/p>\n Y\u00f6ntem 1: DataFrame’leri Kar\u015f\u0131la\u015ft\u0131r\u0131n (dizin etiketleri dahil)<\/strong><\/span><\/p>\n M\u00fckemmel bir e\u015fle\u015fme olup olmad\u0131klar\u0131n\u0131 g\u00f6rmek amac\u0131yla iki DataFrame’i kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz (dizin etiketleri dahil):<\/span><\/p>\n Bu bize iki DataFrame’in (dizin etiketleri dahil) m\u00fckemmel \u015fekilde e\u015fle\u015fmedi\u011fini s\u00f6yler.<\/span><\/p>\n Y\u00f6ntem 2: DataFrame’leri Kar\u015f\u0131la\u015ft\u0131r\u0131n (Dizin Etiketlerini Yoksay)<\/strong><\/span><\/p>\n Dizin etiketlerini tamamen g\u00f6z ard\u0131 ederek, m\u00fckemmel bir e\u015fle\u015fme olup olmad\u0131klar\u0131n\u0131 g\u00f6rmek amac\u0131yla iki DataFrame’i kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Bu bize iki DataFrame’in m\u00fckemmel \u015fekilde e\u015fle\u015fti\u011fini s\u00f6yler (indeks etiketleri g\u00f6z ard\u0131 edilir).<\/span><\/p>\n Y\u00f6ntem 3: DataFrames’i sat\u0131r sat\u0131r kar\u015f\u0131la\u015ft\u0131r\u0131n<\/strong><\/span><\/p>\n Hangi sat\u0131r de\u011ferlerinin e\u015fle\u015fti\u011fini g\u00f6rmek amac\u0131yla iki DataFrame’i sat\u0131r sat\u0131r kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Bu, her sat\u0131rda hangi de\u011ferlerin e\u015fle\u015fti\u011fini g\u00f6rmemizi sa\u011flar.<\/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> Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata: ValueError : Can only compare identically-labeled DataFrame objects Bu hata, iki panda DataFrame’i kar\u015f\u0131la\u015ft\u0131rmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ve dizin etiketleri veya s\u00fctun etiketleri tam olarak e\u015fle\u015fmedi\u011finde 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 iki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m: import pandas as pd #define […]<\/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-2183","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n ValueError<\/span> : Can only compare identically-labeled DataFrame objects\n<\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#define DataFrames\ndf1 = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14],\n ' assists<\/span> ': [5, 7, 13, 12]})\n\ndf2 = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14],\n ' assists<\/span> ': [5, 7, 13, 12]},\n index=[3, 2, 1, 0])\n\n#view DataFrames\n<\/span>print<\/span> (df1)\n\n assist points\n0 25 5\n1 12 7\n2 15 13\n3 14 12\n\nprint<\/span> (df2)\n\n assist points\n3 25 5\n2 12 7\n1 15 13\n0 14 12<\/span><\/span><\/strong><\/pre>\n #attempt to compare the DataFrames\ndf1 = df2\n\nValueError<\/span> : Can only compare identically-labeled DataFrame objects\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
df1. equals<\/span> (df2)\n\nFalse<\/span>\n<\/span><\/strong><\/pre>\n df1. reset_index<\/span> (drop= True<\/span> ). equals<\/span> ( df2.reset_index<\/span> (drop= True<\/span> ))\n<\/span>\nTrue<\/span><\/span><\/strong><\/pre>\n df1. reset_index<\/span> (drop= True<\/span> ) == df2. reset_index<\/span> (drop= True<\/span> )<\/span>\n\n assist points\n0 True<\/span> True\n1 True<\/span> True\n2 True<\/span> True\n3 True<\/span> True<\/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":"