<\/p>\n
Bir pandas DataFrame’in indeks s\u00fctununun benzersiz de\u011ferlerini elde etmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Dizin s\u00fctunundan benzersiz de\u011ferler al\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: MultiIndex’teki belirli bir s\u00fctundan benzersiz de\u011ferler al\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n DataFrame’in indeks s\u00fctununun benzersiz de\u011ferlerini elde etmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n \u00c7\u0131kt\u0131, dizin s\u00fctunundaki benzersiz de\u011ferlerin her birini g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n \u0130ndeks s\u00fctunundaki benzersiz de\u011ferlerin say\u0131s\u0131n\u0131 saymak i\u00e7in len()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n DataFrame’in index s\u00fctununda 5 adet<\/strong> benzersiz de\u011ferin oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n Bu DataFrame’in bir multiIndex’e sahip oldu\u011funu unutmay\u0131n.<\/span><\/p>\n multiIndex’in tek Tak\u0131m<\/strong> s\u00fctununun benzersiz de\u011ferlerini elde etmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n \u00c7\u0131kt\u0131, multiIndex’in Ekip<\/strong> s\u00fctunundaki d\u00f6rt benzersiz de\u011feri g\u00f6r\u00fcnt\u00fcler: A, B, C ve D.<\/span><\/p>\n multiIndex’in Division<\/strong> s\u00fctunundan benzersiz de\u011ferler \u00e7\u0131karmak i\u00e7in benzer bir s\u00f6zdizimi kullanabiliriz:<\/span><\/p>\n \u00c7\u0131kt\u0131, multiIndex’in B\u00f6l\u00fcm<\/b> s\u00fctununun iki benzersiz de\u011ferini g\u00f6r\u00fcnt\u00fcler: Bat\u0131 ve Do\u011fu.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas’ta dizini s\u00fctuna d\u00f6n\u00fc\u015ft\u00fcrme<\/a> Bir pandas DataFrame’in indeks s\u00fctununun benzersiz de\u011ferlerini elde etmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Dizin s\u00fctunundan benzersiz de\u011ferler al\u0131n df. index . single () Y\u00f6ntem 2: MultiIndex’teki belirli bir s\u00fctundan benzersiz de\u011ferler al\u0131n df. index . unique (‘ some_column ‘) A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: Dizin s\u00fctunundan benzersiz de\u011ferler […]<\/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-3802","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. index<\/span> . single<\/span> ()\n<\/strong><\/pre>\n df. index<\/span> . unique<\/span> (' some_column<\/span> ')<\/strong><\/pre>\n \u00d6rnek 1: Dizin s\u00fctunundan benzersiz de\u011ferler alma<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]},\n index = [0, 1, 1, 1, 2, 2, 3, 4])\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points assists\n0 to 18 5\n1 B 22 7\n1 C 19 7\n1 D 14 9\n2 E 14 12\n2 F 11 9\n3 G 20 9\n4:28 4<\/strong><\/pre>\n #get unique values from index column \ndf. index<\/span> . single<\/span> ()\n\nInt64Index([0, 1, 2, 3, 4], dtype='int64')<\/span><\/span><\/strong><\/pre>\n #count number of unique values in index column \nlen<\/span> ( df.index.unique<\/span> (<\/span> ))\n\n5<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: MultiIndex’te belirli bir s\u00fctundan benzersiz de\u011ferler alma<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n#define index values\n<\/span>index_names = pd. MultiIndex<\/span> . from_tuples<\/span> ([(' West<\/span> ',' A<\/span> '),\n (' West<\/span> ', ' A<\/span> '),\n (' West<\/span> ', ' B<\/span> '),\n (' East<\/span> ', ' C<\/span> '),\n (' East<\/span> ', ' C<\/span> '),\n (' East<\/span> ', ' D<\/span> ')],\n names=[' Division<\/span> ', ' Team<\/span> '])\n\n#define data values\n<\/span>data = {' Sales<\/span> ': [12, 44, 29, 35, 44, 19]}\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> (data, index=index_names)\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n Sales\nDivision Team \nWest A 12\n At 44\n B29\nEast C 35\n C 44\n D 19\n<\/strong><\/pre>\n #get unique values from Team column in multiIndex\ndf. index<\/span> . single<\/span> (' Team<\/span> ')\n\nIndex(['A', 'B', 'C', 'D'], dtype='object', name='Team')\n<\/span><\/span><\/strong><\/pre>\n #get unique values from Division column in multiIndex\ndf. index<\/span> . single<\/span> (' Division<\/span> ')\n\nIndex(['West', 'East'], dtype='object', name='Division')\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandas’ta indeks nas\u0131l yeniden adland\u0131r\u0131l\u0131r<\/a>
Pandalarda s\u00fctunu indeks olarak nas\u0131l ayarlayabilirim?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"