<\/p>\n
Genellikle iki veya daha fazla panda DataFrames’i y\u0131\u011fmak isteyebilirsiniz. Neyse ki pandas concat()<\/a> i\u015flevini kullanarak bunu yapmak kolayd\u0131r.<\/span><\/p>\n Bu e\u011fitimde bunun nas\u0131l yap\u0131laca\u011f\u0131na dair birka\u00e7 \u00f6rnek g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, iki panda DataFrame’in \u00fcst \u00fcste nas\u0131l “istiflenece\u011fini” ve bir DataFrame olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Benzer kod, bir DataFrame olu\u015fturmak \u00fczere \u00fc\u00e7 panda DataFrame’i \u00fcst \u00fcste istiflemek i\u00e7in kullan\u0131labilir:<\/span><\/p>\n \u00d6nceki \u00f6rneklerde g\u00f6z ard\u0131_index=True<\/strong> kulland\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n Bu, pandalara her DataFrame’deki dizin numaralar\u0131n\u0131 g\u00f6z ard\u0131 etmelerini ve yeni DataFrame i\u00e7in 0’dan n-1’e kadar yeni bir dizin olu\u015fturmalar\u0131n\u0131 s\u00f6yler.<\/span><\/p>\n \u00d6rne\u011fin, a\u015fa\u011f\u0131daki iki DataFrame’i y\u0131\u011f\u0131nlarken g\u00f6rmezden_index=True<\/strong> kullanmad\u0131\u011f\u0131m\u0131zda ne olaca\u011f\u0131n\u0131 d\u00fc\u015f\u00fcn\u00fcn:<\/span><\/p>\n Ortaya \u00e7\u0131kan DataFrame, her iki DataFrame’den de orijinal indeks de\u011ferlerini korudu.<\/span><\/p>\n Bu nedenle, orijinal dizin de\u011ferlerini korumak i\u00e7in \u00f6zel bir nedeniniz olmad\u0131\u011f\u0131 s\u00fcrece, iki DataFrame’i istiflerken genellikle g\u00f6rmezden_index=True<\/strong> kullanmal\u0131s\u0131n\u0131z.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Pandalar’da di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas DataFrame’e bo\u015f bir s\u00fctun nas\u0131l eklenir<\/a> Genellikle iki veya daha fazla panda DataFrames’i y\u0131\u011fmak isteyebilirsiniz. Neyse ki pandas concat() i\u015flevini kullanarak bunu yapmak kolayd\u0131r. Bu e\u011fitimde bunun nas\u0131l yap\u0131laca\u011f\u0131na dair birka\u00e7 \u00f6rnek g\u00f6sterilmektedir. \u00d6rnek 1: \u0130ki Pandas DataFrame’i y\u0131\u011f\u0131nlay\u0131n A\u015fa\u011f\u0131daki kod, iki panda DataFrame’in \u00fcst \u00fcste nas\u0131l “istiflenece\u011fini” ve bir DataFrame olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd #create two DataFrames df1 […]<\/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-975","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: \u0130ki Pandas DataFrame’i y\u0131\u011f\u0131nlay\u0131n<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#create two DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n 'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n 'points':[24, 26, 27, 27, 12]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf3\n\n\tplayer points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n<\/strong><\/pre>\n \u00d6rnek 2: \u00dc\u00e7 Pandas DataFrame’i y\u0131\u011f\u0131nlay\u0131n<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#create three DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n 'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n 'points':[24, 26, 27, 27, 12]})\n\ndf3 = pd.DataFrame({'player': ['K', 'L', 'M', 'N', 'O'],\n 'points':[9, 5, 5, 13, 17]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf4 = pd. concat<\/span> ([df1,df2, df3], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf4\n\n player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n10K 9\n11 L 5\n12 M 5\n13 N 13\n14 O 17<\/strong><\/pre>\n \u0130gnore_index’in \u00f6nemi<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#create two DataFrames with indices<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n 'points':[12, 5, 13, 17, 27]},\n index=[0, 1, 2, 3, 4])\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n 'points':[24, 26, 27, 27, 12]},\n index=[2, 4, 5, 6, 9])\n\n#stack the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2])\n\n#view resulting DataFrame<\/span>\ndf3\n\n player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n2 F 24\n4G 26\n5:27 a.m.\n6 I 27\n9 D 12\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas DataFrame’e s\u00fctun nas\u0131l eklenir<\/a>
Pandas DataFrame’i Excel’e nas\u0131l aktar\u0131r\u0131m<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"