<\/p>\n
S\u00fctunu belirli de\u011ferlerle e\u015fle\u015fen pandas DataFrame’deki sat\u0131rlar\u0131n dizinini almak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, s\u00fctunu belirli bir de\u011fere e\u015fit olan sat\u0131rlar\u0131n dizininin nas\u0131l al\u0131naca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu bize indeks de\u011feri 1<\/strong> ve 2<\/strong> olan sat\u0131rlar\u0131n puan s\u00fctununda “7” de\u011ferine sahip oldu\u011funu anlat\u0131r.<\/span><\/p>\n Bir s\u00fctunun belirli bir de\u011ferden k\u00fc\u00e7\u00fck veya b\u00fcy\u00fck oldu\u011fu sat\u0131rlar\u0131n dizinini bulmak i\u00e7in k\u00fc\u00e7\u00fckt\u00fcr ve b\u00fcy\u00fckt\u00fcr operat\u00f6rlerini de kullanabilece\u011fimizi unutmay\u0131n:<\/span><\/p>\n Bu bize indeks de\u011feri 3<\/strong> , 4<\/strong> , 5<\/strong> ve 6<\/strong> olan sat\u0131rlar\u0131n puan s\u00fctununda “7”den b\u00fcy\u00fck bir de\u011fere sahip oldu\u011funu anlat\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir s\u00fctunun belirli bir dizeye e\u015fit oldu\u011fu sat\u0131rlar\u0131n dizininin nas\u0131l al\u0131naca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu bize indeks de\u011feri 3<\/strong> ve 4<\/strong> olan sat\u0131rlar\u0131n tak\u0131m s\u00fctununda “B” de\u011ferine sahip oldu\u011funu anlat\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, birden \u00e7ok s\u00fctunun de\u011ferlerinin belirli ko\u015fullarla e\u015fle\u015fti\u011fi sat\u0131rlar\u0131n dizininin nas\u0131l al\u0131naca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Pandas DataFrame’den h\u00fccre de\u011feri nas\u0131l al\u0131n\u0131r<\/a> S\u00fctunu belirli de\u011ferlerle e\u015fle\u015fen pandas DataFrame’deki sat\u0131rlar\u0131n dizinini almak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df. index [df[‘ column_name ‘]== value ]. tolist () A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd #createDataFrame df = pd. DataFrame ({‘ team ‘: [‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘C’, ‘C’, ‘D’], ‘ […]<\/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-1924","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. index<\/span> [df[' column_name<\/span> ']== value<\/span> ]. tolist<\/span> ()\n<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'C', 'C', 'D'],\n ' points<\/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>df\n\nteam points rebounds\n0 to 5 11\n1 to 7 8\n2 to 7 10\n3 B 9 6\n4 B 12 6\n5 C 9 5\n6 C 9 9\n7 D 4 12\n<\/strong><\/pre>\n \u00d6rnek 1: S\u00fctunu de\u011ferle e\u015fle\u015fen sat\u0131rlar\u0131n dizinini al\u0131n<\/strong><\/span><\/h3>\n
#get index of rows where 'points' column is equal to 7\n<\/span>df. index<\/span> [df[' points<\/span> ']== 7<\/span> ]. tolist<\/span> ()\n\n[1, 2]\n<\/strong><\/pre>\n #get index of rows where 'points' column is greater than 7\n<\/span>df. index<\/span> [df[' points<\/span> '] > 7<\/span> ]. tolist<\/span> ()\n\n[3, 4, 5, 6]\n<\/strong><\/pre>\n \u00d6rnek 2: S\u00fctunu dizeyle e\u015fle\u015fen sat\u0131rlar\u0131n dizinini al\u0131n<\/strong><\/span><\/h3>\n
#get index of rows where 'team' column is equal to 'B'\n<\/span>df. index<\/span> [df[' team<\/span> ']==' B<\/span> ']. tolist<\/span> ()\n\n[3, 4]\n<\/strong><\/pre>\n \u00d6rnek 3: Birden fazla ko\u015fula sahip sat\u0131r dizinini alma<\/strong><\/span><\/h3>\n
#get index of rows where 'points' is equal to 7 or<\/em> 12\n<\/span>df. index<\/span> [(df[' points<\/span> ']== 7<\/span> ) | (df[' points<\/span> ']== 12<\/span> )]. tolist<\/span> ()\n\n[1, 2, 4]\n\n#get index of rows where 'points' is equal to 9 and<\/i> 'team' is equal to 'B'\n<\/span>df. index<\/span> [(df[' points<\/span> ']== 9<\/span> ) & (df[' team<\/span> ']==' B<\/span> ')]. tolist<\/span> ()\n\n[3]<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas DataFrame’de dizin nas\u0131l yeniden adland\u0131r\u0131l\u0131r<\/a>
Pandalar’da s\u00fctunlar ada g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"