<\/p>\n
Bir pandan\u0131n DataFrame sat\u0131rlar\u0131n\u0131 alfabetik olarak s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Bir s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralama<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Birden \u00e7ok s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralay\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n DataFrame’in sat\u0131rlar\u0131n\u0131 tak\u0131m ad\u0131na g\u00f6re A’dan Z’ye<\/strong> s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sat\u0131rlar\u0131n art\u0131k AZ tak\u0131m ad\u0131na g\u00f6re s\u0131raland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Ayr\u0131ca Z’den A’ya kadar<\/strong> s\u0131ralama yapabiliriz:<\/span><\/p>\n Ayr\u0131ca s\u0131ralanan DataFrame’deki indeks de\u011ferlerini s\u0131f\u0131rlamak i\u00e7in reset_index()<\/strong> fonksiyonunu da kullanabiliriz:<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n DataFrame sat\u0131rlar\u0131n\u0131 konferans ad\u0131na g\u00f6re A’dan Z’ye, ard\u0131ndan ekip ad\u0131na g\u00f6re Z’den A’ya s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimi kullan\u0131labilir:<\/span><\/p>\n Sat\u0131rlar konferans ad\u0131 AZ’ye ve ard\u0131ndan tak\u0131m ad\u0131 ZA’ya g\u00f6re s\u0131ralan\u0131r.<\/span><\/p>\n Not<\/strong> : Pandalar\u0131n sort_values()<\/strong> i\u015flevinin tam belgelerini burada<\/a> bulabilirsiniz.<\/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: tarihe g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a> Bir pandan\u0131n DataFrame sat\u0131rlar\u0131n\u0131 alfabetik olarak s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Bir s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralama #sort A to Z df. sort_values (‘ column1 ‘) #sort Z to A df. sort_values (‘ column1 ‘, ascending= False ) Y\u00f6ntem 2: Birden \u00e7ok s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralay\u0131n #sort by column1 from Z to […]<\/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-3028","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #sort A to Z<\/span>\ndf. sort_values<\/span> (' column1<\/span> ')\n\n#sort Z to A<\/span>\ndf. sort_values<\/span> (' column1<\/span> ', ascending= False )<\/span><\/span>\n<\/strong><\/pre>\n #sort by column1 from Z to A, then by column2 from A to Z<\/span>\ndf. sort_values<\/span> ([' column1<\/span> ', ' column2<\/span> '], ascending=( False<\/span> , True<\/span> ))<\/strong><\/pre>\n \u00d6rnek 1: Bir s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralama<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Spurs', 'Lakers', 'Nuggets', 'Hawks'],\n ' points<\/span> ': [120, 108, 99, 104, 115]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points\n0 Mavs 120\n1 Spurs 108\n2 Lakers 99\n3 Nuggets 104\n4 Hawks 115<\/span><\/span><\/strong><\/pre>\n #sort by team name A to Z\ndf_sorted = df. sort_values<\/span> (' team<\/span> ')\n\n#view sorted DataFrame\n<\/span>print<\/span> (df_sorted)\n\n team points\n4 Hawks 115\n2 Lakers 99\n0 Mavs 120\n3 Nuggets 104\n1 Spurs 108<\/span><\/span><\/strong><\/pre>\n #sort by team name Z to A\ndf_sorted = df. sort_values<\/span> (' team<\/span> ', ascending= False<\/span> )\n\n#view sorted DataFrame\n<\/span>print<\/span> (df_sorted)\n\n team points\n1 Spurs 108\n3 Nuggets 104\n0 Mavs 120\n2 Lakers 99\n4 Hawks 115<\/span><\/span><\/strong><\/pre>\n #sort by team name A to Z and reset index\ndf_sorted = df. sort_values<\/span> (' team<\/span> '). reset_index<\/span> (drop= True<\/span> )\n\n#view sorted DataFrame\n<\/span>print<\/span> (df_sorted)\n\n team points\n0 Hawks 115\n1 Lakers 99\n2 Mavs 120\n3 Nuggets 104\n4 Spurs 108\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Birden fazla s\u00fctuna g\u00f6re alfabetik olarak s\u0131ralama<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' conference<\/span> ': ['West', 'West', 'West', 'East', 'East'],\n ' team<\/span> ': ['Mavs', 'Spurs', 'Lakers', 'Heat', 'Hawks'],\n ' points<\/span> ': [120, 108, 99, 104, 115]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n conference team points\n0 West Mavs 120\n1 West Spurs 108\n2 West Lakers 99\n3 East Heat 104\n4 East Hawks 115\n<\/strong><\/span><\/pre>\n #sort by conference name A to Z, then by team name Z to A\ndf_sorted = df. sort_values<\/span> ([' conference<\/span> ', ' team<\/span> '], ascending=( True<\/span> , False<\/span> ))\n\n#view sorted DataFrame\n<\/span>print<\/span> (df_sorted)\n\n conference team points\n3 East Heat 104\n4 East Hawks 115\n1 West Spurs 108\n0 West Mavs 120\n2 West Lakers 99\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar: S\u00fctunlar ada g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a>
Pandalar: hem dizine hem de s\u00fctuna g\u00f6re nas\u0131l s\u0131ralama yap\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"