<\/p>\n
Bir pandas DataFrame’de birden fazla s\u00fctundaki maksimum de\u011feri bulmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Birden \u00e7ok s\u00fctunda maksimum de\u011feri bulun<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Birden \u00e7ok s\u00fctundaki maksimum de\u011feri i\u00e7eren yeni bir s\u00fctun ekleyin<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin 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, say\u0131 ve ribaund s\u00fctunlar\u0131ndaki her sat\u0131rdaki maksimum de\u011ferin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonucun nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, noktalar ve geri d\u00f6nen s\u00fctunlardaki her sat\u0131rda maksimum de\u011feri i\u00e7eren DataFrame’e yeni bir s\u00fctunun nas\u0131l eklenece\u011fini g\u00f6sterir:<\/span><\/p>\n max_points_rebs<\/strong> ba\u015fl\u0131kl\u0131 yeni s\u00fctun art\u0131k DataFrame’deki her sat\u0131r i\u00e7in puan ve s\u0131\u00e7rama s\u00fctunlar\u0131ndaki maksimum de\u011feri i\u00e7eriyor.<\/span><\/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: DataFrame’in \u00f6n\u00fcndeki bir s\u00fctun nas\u0131l ta\u015f\u0131n\u0131r?<\/a> Bir pandas DataFrame’de birden fazla s\u00fctundaki maksimum de\u011feri bulmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Birden \u00e7ok s\u00fctunda maksimum de\u011feri bulun df[[‘ col1 ‘, ‘ col2 ‘, ‘ col3 ‘]]. max (axis= 1 ) Y\u00f6ntem 2: Birden \u00e7ok s\u00fctundaki maksimum de\u011feri i\u00e7eren yeni bir s\u00fctun ekleyin df[‘ new_col ‘] = df[[‘ col1 ‘, ‘ col2 […]<\/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-3431","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[[' col1<\/span> ', ' col2<\/span> ', ' col3<\/span> ']]. max<\/span> (axis= 1<\/span> )\n<\/strong><\/pre>\n df[' new_col<\/span> '] = df[[' col1<\/span> ', ' col2<\/span> ', ' col3<\/span> ']]. max<\/span> (axis= 1<\/span> )<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G'],\n ' points<\/span> ': [28, 17, 19, 14, 23, 26, 5],\n ' rebounds<\/span> ': [5, 6, 4, 7, 14, 12, 9],\n ' assists<\/span> ': [10, 13, 7, 8, 4, 5, 8]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n player points rebound assists\n0 to 28 5 10\n1 B 17 6 13\n2 C 19 4 7\n3 D 14 7 8\n4 E 23 14 4\n5 F 26 12 5\n6 G 5 9 8<\/strong><\/span><\/pre>\n \u00d6rnek 1: Birden \u00e7ok s\u00fctunda maksimum de\u011feri bulun<\/strong><\/span><\/h2>\n
#find max value across points and rebounds columns\n<\/span>df[[' points<\/span> ', ' rebounds<\/span> ']]. max<\/span> (axis= 1<\/span> )\n\n0 28\n1 17\n2 19\n3 14\n4 23\n5 26\n6 9\ndtype: int64\n<\/span><\/span><\/strong><\/pre>\n\n
\u00d6rnek 2: Birden \u00e7ok s\u00fctundaki maksimum de\u011feri i\u00e7eren yeni bir s\u00fctun ekleme<\/strong><\/span><\/h2>\n
#add new column that contains max value across points and rebounds columns<\/span>\ndf[' max_points_rebs<\/span> '] = df[[' points<\/span> ', ' rebounds<\/span> ']]. max<\/span> (axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n player points rebounds assists max_points_rebs\n0 A 28 5 10 28\n1 B 17 6 13 17\n2 C 19 4 7 19\n3 D 14 7 8 14\n4 E 23 14 4 23\n5 F 26 12 5 26\n6 G 5 9 8 9<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: s\u00fctunun bir dize i\u00e7erip i\u00e7ermedi\u011fi nas\u0131l kontrol edilir<\/a>
Pandalar: DataFrame’e bo\u015f s\u00fctun nas\u0131l eklenir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"