<\/p>\n
Belirli bir dize s\u00fctununun de\u011ferlerine g\u00f6re bir panda DataFrame’in sat\u0131rlar\u0131n\u0131 s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun yaln\u0131zca karakterler i\u00e7erdi\u011finde)<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun karakter ve<\/em> say\u0131 i\u00e7erdi\u011finde)<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Bir bakkalda \u00e7e\u015fitli \u00fcr\u00fcnlerin sat\u0131\u015f\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n DataFrame’in sat\u0131rlar\u0131n\u0131 \u00fcr\u00fcn<\/strong> s\u00fctunundaki dizelere g\u00f6re s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sat\u0131rlar\u0131n art\u0131k \u00dcr\u00fcn<\/strong> s\u00fctunundaki dizelere g\u00f6re A’dan Z’ye s\u0131raland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bunun yerine Z’den A’ya s\u0131ralama yapmak istiyorsan\u0131z, artan=False<\/strong> arg\u00fcman\u0131n\u0131 eklemeniz yeterlidir:<\/span><\/p>\n Sat\u0131rlar\u0131n art\u0131k \u00dcr\u00fcn<\/strong> s\u00fctunundaki dizelere g\u00f6re Z’den A’ya s\u0131raland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bir bakkalda \u00e7e\u015fitli \u00fcr\u00fcnlerin sat\u0131\u015f\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u00dcr\u00fcn<\/strong> s\u00fctunundaki dizelerin hem karakterleri hem de say\u0131lar\u0131 i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n DataFrame’in sat\u0131rlar\u0131n\u0131 \u00fcr\u00fcn<\/strong> s\u00fctunundaki de\u011ferleri kullanarak s\u0131ralamaya \u00e7al\u0131\u015f\u0131rsak, dizeler say\u0131lara g\u00f6re do\u011fru s\u0131rada s\u0131ralanmayacakt\u0131r:<\/span><\/p>\n Bunun yerine, yaln\u0131zca \u00fcr\u00fcn s\u00fctunundaki say\u0131lar\u0131 i\u00e7eren sort<\/strong> ad\u0131 verilen yeni bir ge\u00e7ici s\u00fctun olu\u015fturmam\u0131z, ard\u0131ndan s\u0131ralama<\/strong> s\u00fctunundaki de\u011ferlere g\u00f6re s\u0131ralamam\u0131z ve ard\u0131ndan s\u00fctunu tamamen silmemiz gerekir:<\/span><\/p>\n Art\u0131k \u00fcr\u00fcn<\/strong> s\u00fctunundaki sat\u0131rlar\u0131n dizelere g\u00f6re s\u0131raland\u0131\u011f\u0131na ve say\u0131lar\u0131n do\u011fru s\u0131rada s\u0131raland\u0131\u011f\u0131na dikkat edin.<\/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 ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: tarihe g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a> Belirli bir dize s\u00fctununun de\u011ferlerine g\u00f6re bir panda DataFrame’in sat\u0131rlar\u0131n\u0131 s\u0131ralamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun yaln\u0131zca karakterler i\u00e7erdi\u011finde) df = df. sort_values (‘ my_string_column ‘) Y\u00f6ntem 2: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun karakter ve say\u0131 i\u00e7erdi\u011finde) #create ‘sort’ column that contains digits from ‘my_string_column’ df[‘ sort ‘] = […]<\/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-4108","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df = df. sort_values<\/span> (' my_string_column<\/span> ')\n<\/strong><\/pre>\n #create 'sort' column that contains digits from 'my_string_column'\n<\/span>df[' sort<\/span> '] = df[' my_string_column<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ', expand= False<\/span> ). astype<\/span> (int)\n<\/span>\n#sort rows based on digits in 'sort' column\n<\/span>df = df. sort_values<\/span> (' sort<\/span> ')\n<\/strong><\/pre>\n \u00d6rnek 1: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun yaln\u0131zca karakterler i\u00e7erdi\u011finde)<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' product<\/span> ': ['Apples', 'Oranges', 'Bananas', 'Lettuce', 'Beans'],\n ' sales<\/span> ': [18, 22, 19, 14, 29]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n0 Apples 18\n1 Oranges 22\n2 Bananas 19\n3 Lettuce 14\n4 Beans 29<\/strong><\/pre>\n #sort rows from A to Z based on string in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ')\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n0 Apples 18\n2 Bananas 19\n4 Beans 29\n3 Lettuce 14\n1 Oranges 22<\/span><\/span><\/strong><\/pre>\n #sort rows from Z to A based on string in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ', ascending= False<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n1 Oranges 22\n3 Lettuce 14\n4 Beans 29\n2 Bananas 19\n0 Apples 18\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Dize s\u00fctununa g\u00f6re s\u0131ralama (s\u00fctun karakter ve<\/em> say\u0131 i\u00e7erdi\u011finde)<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' product<\/span> ': ['A3', 'A5', 'A22', 'A50', 'A2', 'A7', 'A9', 'A13'],\n ' sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n0 A3 18\n1 A5 22\n2 A22 19\n3 A50 14\n4 A2 14\n5 A7 11\n6 A9 20\n7 A13 28\n<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#sort rows based on strings in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ')\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n7 A13 28\n4 A2 14\n2 A22 19\n0 A3 18\n1 A5 22\n3 A50 14\n5 A7 11\n6 A9 20\n<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#create new 'sort' column that contains digits from 'product' column\n<\/span>df[' sort<\/span> '] = df[' product<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ', expand= False<\/span> ). astype<\/span> (int)\n\n#sort rows based on digits in 'sort' column\n<\/span>df = df. sort_values<\/span> (' sort<\/span> ')\n\n#drop 'sort' column\n<\/span>df = df. drop<\/span> (' sort<\/span> ', axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n4 A2 14\n0 A3 18\n1 A5 22\n5 A7 11\n6 A9 20\n7 A13 28\n2 A22 19\n3 A50 14<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\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":"