<\/p>\n
Ba\u015fka bir s\u00fctunun de\u011ferlerine dayal\u0131 olarak bir s\u00fctuna de\u011fer atamak i\u00e7in pandalarda a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel s\u00f6zdizimi, a\u015fa\u011f\u0131daki de\u011ferleri alacak olan “yeni” ad\u0131nda yeni bir s\u00fctun olu\u015fturacakt\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n \u00c7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi, de\u011ferleri tak\u0131m<\/strong> s\u00fctunundaki kar\u015f\u0131l\u0131k gelen de\u011fere ba\u011fl\u0131 olan, \u015fehir<\/strong> ad\u0131nda yeni bir s\u00fctun olu\u015fturmak istedi\u011fimizi varsayal\u0131m.<\/span><\/span><\/p>\n Bunu yapmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Bu \u00f6zel s\u00f6zdizimi, a\u015fa\u011f\u0131daki de\u011ferleri alan \u015fehir<\/strong> ad\u0131nda yeni bir s\u00fctun olu\u015fturdu:<\/span><\/p>\n Bu \u00f6rnekte, herhangi bir ko\u015fulu kar\u015f\u0131lamayan de\u011ferleri bo\u015f b\u0131rakmak i\u00e7in son else<\/strong> ifadesinden sonra bo\u015f bir dize kulland\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: s\u00fctunu de\u011ferle e\u015fle\u015fen sat\u0131rlar\u0131n dizinini al\u0131n<\/a> Ba\u015fka bir s\u00fctunun de\u011ferlerine dayal\u0131 olarak bir s\u00fctuna de\u011fer atamak i\u00e7in pandalarda a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df[‘ new ‘] = df[‘ col ‘]. map ( lambda x: ‘ new1 ‘ if ‘ A ‘ in x else ‘ new2 ‘ if ‘ B ‘ in x else ”) Bu \u00f6zel s\u00f6zdizimi, a\u015fa\u011f\u0131daki de\u011ferleri alacak olan “yeni” […]<\/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-3884","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' new<\/span> '] = df[' col<\/span> ']. map<\/span> ( lambda<\/span> x: ' new1<\/span> ' if<\/span> ' A<\/span> ' in<\/span> x else<\/span> ' new2<\/span> ' if<\/span> ' B<\/span> ' in<\/span> x else<\/span> '')\n<\/span><\/span><\/strong><\/pre>\n\n
\u00d6rnek: Pandas’ta “S\u00fctundaki If De\u011feri O Zaman” i\u00e7in Form\u00fcl Kullanma<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'C', 'C'],\n ' points<\/span> ': [14, 22, 25, 34, 30, 12, 10, 18]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points\n0 to 14\n1 to 22\n2 to 25\n3 to 34\n4 B 30\n5 B 12\n6 C 10\n7 C 18\n<\/b><\/pre>\n #create new column called city whose values depend on values in team column\n<\/span>df[' city<\/span> '] = df[' team<\/span> ']. map<\/span> ( lambda<\/span> x: ' Atlanta<\/span> ' if<\/span> ' A<\/span> ' in<\/span> x else<\/span> ' Boston<\/span> ' if<\/span> ' B<\/span> ' in<\/span> x else<\/span> '')\n\n#view updated DataFrame \n<\/span>print<\/span> (df)\n\n team points city\n0 A 14 Atlanta\n1 to 22 Atlanta\n2 to 25 Atlanta\n3 to 34 Atlanta\n4 B 30 Boston\n5 B 12 Boston\n6 C 10 \n7 C 18 \n<\/span><\/span><\/strong><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: belirli bir dize i\u00e7eren s\u00fctunlar\u0131n nas\u0131l se\u00e7ilece\u011fi<\/a>
Pandalar: s\u00fctunun bir dize i\u00e7erip i\u00e7ermedi\u011fi nas\u0131l kontrol edilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"