<\/p>\n
Bir pandan\u0131n DataFrame sat\u0131rlar\u0131n\u0131 ve s\u00fctunlar\u0131n\u0131 se\u00e7meye gelince, .loc<\/b> ve .at<\/strong> yayg\u0131n olarak kullan\u0131lan iki i\u015flevdir.<\/span><\/p>\n \u0130\u015fte iki i\u015flev aras\u0131ndaki ince fark:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her fonksiyonun a\u015fa\u011f\u0131daki pandalar DataFrame ile pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, nokta s\u00fctununun 0 dizin konumunda bulunan DataFrame’deki de\u011fere eri\u015fmek i\u00e7in .loc’un<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu, 18<\/strong> de\u011ferini d\u00f6nd\u00fcr\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 0 ile 4 aras\u0131ndaki indeks de\u011ferleri aras\u0131ndaki sat\u0131rlar\u0131n yan\u0131 s\u0131ra puan ve destek s\u00fctunlar\u0131na eri\u015fmek i\u00e7in .loc’un<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/span><\/p>\n \u0130ster tek bir de\u011fere ister bir grup sat\u0131r ve s\u00fctuna eri\u015fmek istiyor olal\u0131m, .loc<\/strong> i\u015flevi her ikisini de yapabilir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, nokta s\u00fctununun 0 dizin konumunda bulunan DataFrame’deki de\u011fere eri\u015fmek i\u00e7in .at dosyas\u0131n\u0131n<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu, 18<\/strong> de\u011ferini d\u00f6nd\u00fcr\u00fcr.<\/span><\/p>\n Ancak, 0 ve 4 indeks de\u011ferleri aras\u0131ndaki sat\u0131rlar\u0131n yan\u0131 s\u0131ra puanlar ve asist s\u00fctunlar\u0131na eri\u015fmek i\u00e7in at<\/b> kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n at<\/strong> i\u015flevi birden \u00e7ok sat\u0131r\u0131 veya birden \u00e7ok s\u00fctunu giri\u015f arg\u00fcman\u0131 olarak alamad\u0131\u011f\u0131ndan bir hata al\u0131yoruz.<\/span><\/p>\n Bir pandan\u0131n DataFrame’inde tek bir de\u011fere eri\u015fmek istedi\u011finizde loc<\/strong> ve at<\/strong> i\u015flevleri d\u00fczg\u00fcn \u00e7al\u0131\u015facakt\u0131r.<\/span><\/p>\n Ancak bir grup sat\u0131r ve s\u00fctuna eri\u015fmek istedi\u011finizde bunu yaln\u0131zca loc<\/strong> i\u015flevi yapabilir.<\/span><\/p>\n \u0130lgili:<\/strong> Pandalar loc vs iloc: fark nedir?<\/a><\/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 Pandas Loc kullan\u0131larak birden \u00e7ok ko\u015fula dayal\u0131 sat\u0131rlar nas\u0131l se\u00e7ilir<\/a> Bir pandan\u0131n DataFrame sat\u0131rlar\u0131n\u0131 ve s\u00fctunlar\u0131n\u0131 se\u00e7meye gelince, .loc ve .at yayg\u0131n olarak kullan\u0131lan iki i\u015flevdir. \u0130\u015fte iki i\u015flev aras\u0131ndaki ince fark: .loc giri\u015f arg\u00fcman\u0131 olarak birden fazla sat\u0131r ve s\u00fctun alabilir .at giri\u015f arg\u00fcman\u0131 olarak yaln\u0131zca tek bir sat\u0131r ve s\u00fctun alabilir A\u015fa\u011f\u0131daki \u00f6rnekler, her fonksiyonun a\u015fa\u011f\u0131daki pandalar DataFrame ile pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 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-3274","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n\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<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/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>print<\/span> (df)\n\n team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/strong><\/pre>\n \u00d6rnek 1: Pandalarda loc nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h2>\n
#select value located at index position 0 of the points column\ndf. loc<\/span> [0, ' points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n #select rows between index values 0 and 4 and columns 'points' and 'assists'\ndf. loc<\/span> [0:4, [' points<\/span> ', ' assists<\/span> ']]\n\n assist points\n0 18 5\n1 22 7\n2 19 7\n3 14 9\n4 14 12<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Pandalarda at nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h2>\n
#select value located at index position 0 of the points column\ndf. at<\/span> [0, ' points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n #try to select rows between index values 0 and 4 and columns 'points' and 'assists'\ndf. at<\/span> [0:4, [' points<\/span> ', ' assists<\/span> ']]<\/span>\n\nTypeError<\/span> : unhashable type: 'list'\n<\/span><\/span><\/strong><\/pre>\n \u00c7\u00f6z\u00fcm<\/span><\/strong><\/span><\/h2>\n
Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar’da s\u00fctun de\u011ferlerine g\u00f6re sat\u0131rlar nas\u0131l se\u00e7ilir<\/a>
Pandalarda dizine g\u00f6re sat\u0131rlar nas\u0131l se\u00e7ilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"