<\/p>\n
Python kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, bir dize de\u011fi\u015fkeni ve bir say\u0131sal de\u011fi\u015fkenle \u00e7\u0131karma i\u015flemi ger\u00e7ekle\u015ftirmeye \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 A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n \u015eimdi, point_against<\/strong> s\u00fctununu point_for<\/strong> s\u00fctunundan \u00e7\u0131karmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Bir TypeError<\/strong> al\u0131yoruz \u00e7\u00fcnk\u00fc point_for<\/strong> s\u00fctunu bir dize, point_against<\/strong> s\u00fctunu ise say\u0131sal.<\/span><\/p>\n \u00c7\u0131karma i\u015flemi ger\u00e7ekle\u015ftirmek i\u00e7in her iki s\u00fctunun da say\u0131sal olmas\u0131 gerekir.<\/span><\/p>\n Bu hatay\u0131 \u00e7\u00f6zmek i\u00e7in, \u00e7\u0131karma i\u015flemini ger\u00e7ekle\u015ftirmeden \u00f6nce point_for<\/strong> s\u00fctununu bir tamsay\u0131ya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in .astype(int) komutunu<\/strong> kullanabiliriz:<\/span><\/p>\n \u00c7\u0131karma i\u015flemi i\u00e7in kulland\u0131\u011f\u0131m\u0131z iki s\u00fctunun say\u0131sal s\u00fctunlar olmas\u0131 nedeniyle hata almad\u0131\u011f\u0131m\u0131z\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: TypeError : unsupported operand type(s) for -: ‘str’ and ‘int’ Bu hata, bir dize de\u011fi\u015fkeni ve bir say\u0131sal de\u011fi\u015fkenle \u00e7\u0131karma i\u015flemi ger\u00e7ekle\u015ftirmeye \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? A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame: import pandas as pd #createDataFrame df = […]<\/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-2975","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n TypeError : unsupported operand type(s) for -: 'str' and 'int'\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points_for<\/span> ': ['18', '22', '19', '14', '14', '11', '20', '28'],\n ' points_against<\/span> ': [5, 7, 17, 22, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points_for points_against\n0 to 18 5\n1 B 22 7\n2 C 19 17\n3 D 14 22\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4\n\n#view data type of each column<\/span>\nprint<\/span> ( df.dtypes<\/span> )\n\nteam object\npoints_for object\npoints_against int64\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n #attempt to perform subtraction\n<\/span>df[' diff<\/span> '] = df. points_for<\/span> - df. points_against\n\nTypeError<\/span> : unsupported operand type(s) for -: 'str' and 'int'\n<\/span><\/span><\/span><\/span><\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#convert points_for column to integer\n<\/span>df[' points_for<\/span> '] = df[' points_for<\/span> ']. astype<\/span> (int)\n\n#perform subtraction\n<\/span>df[' diff<\/span> '] = df. points_for<\/span> - df. points_against<\/span>\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n team points_for points_against diff\n0 A 18 5 13\n1 B 22 7 15\n2 C 19 17 2\n3 D 14 22 -8\n4 E 14 12 2\n5 F 11 9 2\n6 G 20 9 11\n7:28 4 24\n\n#view data type of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\npoints_for int32\npoints_against int64\ndiff int64\ndtype:object<\/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":"