<\/p>\n
Bir panda DataFrame’i di\u011ferinden \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Her DataFrame’de bir karakter s\u00fctununuz varsa, \u00f6nce onu her DataFrame’in dizin s\u00fctununa ta\u015f\u0131man\u0131z gerekebilir:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her bir s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Diyelim ki yaln\u0131zca say\u0131sal s\u00fctunlara sahip a\u015fa\u011f\u0131daki iki panda DataFrame’imiz var:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, iki DataFrame aras\u0131nda kar\u015f\u0131l\u0131k gelen de\u011ferlerin nas\u0131l \u00e7\u0131kar\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Diyelim ki her biri tak\u0131m<\/strong> ad\u0131nda bir karakter s\u00fctununa sahip olan a\u015fa\u011f\u0131daki iki panda DataFrame’imiz var:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ekip<\/strong> s\u00fctununun her bir DataFrame’in dizin s\u00fctununa nas\u0131l ta\u015f\u0131naca\u011f\u0131n\u0131 ve ard\u0131ndan iki DataFrame aras\u0131ndan kar\u015f\u0131l\u0131k gelen de\u011ferlerin nas\u0131l \u00e7\u0131kar\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/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: iki s\u00fctun aras\u0131ndaki fark nas\u0131l bulunur?<\/a> Bir panda DataFrame’i di\u011ferinden \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df1. subtract (df2) Her DataFrame’de bir karakter s\u00fctununuz varsa, \u00f6nce onu her DataFrame’in dizin s\u00fctununa ta\u015f\u0131man\u0131z gerekebilir: df1. set_index (‘ char_column ‘). subtract ( df2.set_index (‘ char_column ‘)) A\u015fa\u011f\u0131daki \u00f6rnekler her bir s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: \u0130ki Pandas DataFrame’i \u00e7\u0131kar\u0131n (yaln\u0131zca say\u0131sal s\u00fctunlar) […]<\/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-3700","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df1. subtract<\/span> (df2)\n<\/strong><\/pre>\n df1. set_index<\/span> (' char_column<\/span> '). subtract<\/span> ( df2.set_index<\/span> (' char_column<\/span> '))<\/strong><\/pre>\n \u00d6rnek 1: \u0130ki Pandas DataFrame’i \u00e7\u0131kar\u0131n (yaln\u0131zca say\u0131sal s\u00fctunlar)<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' points<\/span> ': [5, 17, 7, 19, 12, 13, 9, 24],\n ' assists<\/span> ': [4, 7, 7, 6, 8, 7, 10, 11]})\n\nprint<\/span> (df1)\n\n assist points\n0 5 4\n1 17 7\n2 7 7\n3 19 6\n4 12 8\n5 13 7\n6 9 10\n7 24 11\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' points<\/span> ': [4, 22, 10, 3, 7, 8, 12, 10],\n ' assists<\/span> ': [3, 5, 5, 4, 7, 14, 9, 5]})\n\nprint<\/span> (df2)\n\n assist points\n0 4 3\n1 22 5\n2 10 5\n3 3 4\n4 7 7\n5 8 14\n6 12 9\n7 10 5\n<\/span><\/span><\/span><\/strong><\/pre>\n #subtract corresponding values between the two DataFrames<\/span>\ndf1. subtract<\/span> (df2)\n\n\tassist points\n0 1 1\n1 -5 2\n2 -3 2\n3 16 2\n4 5 1\n5 5 -7\n6 -3 1\n7 14 6\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: \u0130ki Pandas DataFrame’i \u00e7\u0131kar\u0131n (karakter ve say\u0131sal s\u00fctunlar\u0131n kar\u0131\u015f\u0131m\u0131)<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': [5, 17, 7, 19, 12, 13, 9, 24],\n ' assists<\/span> ': [4, 7, 7, 6, 8, 7, 10, 11]})\n\nprint<\/span> (df1)\n\n team points assists\n0 to 5 4\n1 B 17 7\n2 C 7 7\n3 D 19 6\n4 E 12 8\n5 F 13 7\n6 G 9 10\n7:24 a.m. 11\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': [4, 22, 10, 3, 7, 8, 12, 10],\n ' assists<\/span> ': [3, 5, 5, 4, 7, 14, 9, 3]})\n\nprint<\/span> (df2)\n\n team points assists\n0 to 4 3\n1 B 22 5\n2 C 10 5\n3 D 3 4\n4 E 7 7\n5 F 8 14\n6 G 12 9\n7:10 a.m. 3<\/span><\/strong><\/pre>\n #move 'team' column to index of each DataFrame and subtract corresponding values\n<\/span>df1. set_index<\/span> (' team<\/span> '). subtract<\/span> ( df2.set_index<\/span> (' team<\/span> '))\n\n\tassist points\nteam\t\t\nAt 1 1\nB-52\nC -3 2\nD 16 2\nE 5 1\nF 5 -7\nG -3 1\nH 14 8\n<\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: \u0130ki \u00e7izgi aras\u0131ndaki fark nas\u0131l bulunur?<\/a>
Pandalar: iki s\u00fctun nas\u0131l \u00e7\u0131kar\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"