<\/p>\n
Python’da kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata genellikle bir pandan\u0131n DataFrame’ini birden fazla ko\u015ful kullanarak filtrelemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak her bir ko\u015fulun etraf\u0131nda parantez kullanamad\u0131\u011f\u0131n\u0131zda 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 pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n \u015eimdi DataFrame’i yaln\u0131zca tak\u0131m s\u00fctununun “A”ya e\u015fit oldu\u011fu ve puan s\u00fctununun 15’ten b\u00fcy\u00fck oldu\u011fu sat\u0131rlar\u0131 g\u00f6sterecek \u015fekilde filtrelemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Her bir ko\u015fulun ba\u015f\u0131na parantez koymad\u0131\u011f\u0131m\u0131z i\u00e7in bir hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmek i\u00e7in, filtreyi \u00e7al\u0131\u015ft\u0131r\u0131rken her bir ko\u015fulun etraf\u0131na parantez koydu\u011fumuzdan emin olmam\u0131z yeterlidir:<\/span><\/p>\n DataFrame’i yaln\u0131zca Tak\u0131m\u0131n ‘A’ya e\u015fit oldu\u011fu ve Puanlar\u0131n 15’ten b\u00fcy\u00fck oldu\u011fu sat\u0131rlar\u0131 g\u00f6sterecek \u015fekilde ba\u015far\u0131yla filtreleyebildi\u011fimizi unutmay\u0131n.<\/span><\/p>\n Ayr\u0131ca, veya \u201c| \u00bb bunun yerine operat\u00f6r:<\/span><\/p>\n Bir kez daha herhangi bir hatadan ka\u00e7\u0131nd\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalardaki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Nas\u0131l d\u00fczeltilir: “pandalar” mod\u00fcl\u00fcnde “dataframe” \u00f6zelli\u011fi yok<\/a> Python’da kar\u015f\u0131la\u015fabilece\u011finiz bir hata: TypeError :Cannot perform ‘rand_’ with a dtyped [int64] array and scalar of type [bool] Bu hata genellikle bir pandan\u0131n DataFrame’ini birden fazla ko\u015ful kullanarak filtrelemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak her bir ko\u015fulun etraf\u0131nda parantez kullanamad\u0131\u011f\u0131n\u0131zda 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 pandalara sahip oldu\u011fumuzu […]<\/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-2509","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError<\/span> :Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n<\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 A 19 7 10\n3 A 14 9 6\n4 B 14 12 6\n5 B 11 9 5\n6 B 20 9 9\n7 B 28 4 12\n<\/span><\/span><\/strong><\/pre>\n #attempt to filter DataFrame\ndf. loc<\/span> [df. team<\/span> == ' A<\/span> ' & df. points<\/span> > 15<\/span> ]\n\nTypeError<\/span> :Cannot perform 'rand_' with a dtyped [int64] array and scalar of type [bool]\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#filter DataFrame\ndf. loc<\/span> [(df. team<\/span> == ' A<\/span> ') & (df. points<\/span> > 15<\/span> )]\n\n\tteam points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 A 19 7 10\n<\/span><\/span><\/strong><\/pre>\n #filter rows where team is equal to 'A' or<\/em> points is greater than 15\ndf. loc<\/span> [( df.team<\/span> == ' A<\/span> ') | (df. points<\/span> > 15<\/span> )]\n\nteam points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 A 19 7 10\n3 A 14 9 6\n6 B 20 9 9\n7 B 28 4 12\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Nas\u0131l d\u00fczeltilir? TypeError: \u00c7izilecek say\u0131sal veri yok<\/a>
Pandas’ta KeyError Nas\u0131l D\u00fczeltilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"