Bunu yapman\u0131n bir yolu, her kategorik de\u011fere alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011feri atayan<\/span> etiket kodlamas\u0131n\u0131<\/strong> kullanmakt\u0131r<\/span> .<\/p>\n \u00d6rne\u011fin, a\u015fa\u011f\u0131daki ekran g\u00f6r\u00fcnt\u00fcs\u00fc Team<\/strong> ad\u0131 verilen kategorik bir de\u011fi\u015fkenin her benzersiz de\u011ferinin, alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011ferine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span> <\/p>\n Python’da etiket kodlamay\u0131 ger\u00e7ekle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/span><\/p>\n Tak\u0131m<\/strong> s\u00fctunundaki her kategorik de\u011feri bir tam say\u0131 de\u011ferine d\u00f6n\u00fc\u015ft\u00fcrmek amac\u0131yla etiket kodlamas\u0131 ger\u00e7ekle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Tak\u0131m<\/strong> s\u00fctununun orijinal de\u011ferlerini elde etmek i\u00e7in inverse_transform()<\/strong> i\u015flevini de kullanabilece\u011finizi unutmay\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas’ta kategorik bir de\u011fi\u015fken say\u0131sala nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a> Makine \u00f6\u011freniminde genellikle kategorik de\u011fi\u015fkenleri algoritmalar taraf\u0131ndan kolayl\u0131kla kullan\u0131labilecek bir t\u00fcr say\u0131sal formata d\u00f6n\u00fc\u015ft\u00fcrmek isteriz. Bunu yapman\u0131n bir yolu, her kategorik de\u011fere alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011feri atayan etiket kodlamas\u0131n\u0131 kullanmakt\u0131r . \u00d6rne\u011fin, a\u015fa\u011f\u0131daki ekran g\u00f6r\u00fcnt\u00fcs\u00fc Team ad\u0131 verilen kategorik bir de\u011fi\u015fkenin her benzersiz de\u011ferinin, alfabetik s\u0131raya g\u00f6re bir tamsay\u0131 de\u011ferine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir: […]<\/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-3447","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/labelencode2-1.jpg\")
<\/p>\n from<\/span> sklearn. preprocessing<\/span> import<\/span> LabelEncoder\n\n#create instance of label encoder\n<\/span>lab = LabelEncoder()\n\n#perform label encoding on 'team' column\n<\/span>df[' my_column<\/span> '] = lab. fit_transform<\/span> (df[' my_column<\/span> '])\n<\/strong><\/pre>\n \u00d6rnek: Python’da etiketleri kodlamak<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'],\n ' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points\n0 to 25\n1 to 12\n2 B 15\n3 B 14\n4 B 19\n5 B 23\n6 C 25\n7 C 29<\/strong><\/span><\/pre>\n from<\/span> sklearn. preprocessing<\/span> import<\/span> LabelEncoder\n\n#create instance of label encoder\n<\/span>lab = LabelEncoder()\n\n#perform label encoding on 'team' column\n<\/span>df[' team<\/span> '] = lab. fit_transform<\/span> (df[' team<\/span> '])\n\n#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n team points\n0 0 25\n1 0 12\n2 1 15\n3 1 14\n4 1 19\n5 1 23\n6 2 25\n7 2 29\n<\/strong><\/pre>\n\n
#display original team labels\n<\/span>lab. inverse_transform<\/span> (df[' team<\/span> '])\n\narray(['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'], dtype=object)\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar’da boole de\u011ferleri tam say\u0131 de\u011ferlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a>
Pandalarda dizeleri say\u0131 olarak kodlamak i\u00e7in fakt\u00f6rize() nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"