<\/p>\n
Birden \u00e7ok panda DataFrame’i ba\u015fka bir DataFrame’in i\u00e7ine yerle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, \u00fc\u00e7 DataFrame’i ( df1<\/strong> , df2<\/strong> , df3<\/strong> ) df_all<\/strong> ad\u0131 verilen daha b\u00fcy\u00fck bir DataFrame’e yerle\u015ftirir.<\/span><\/p>\n Daha sonra belirli i\u00e7 i\u00e7e ge\u00e7mi\u015f DataFrame’lerden birine eri\u015fmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki \u00fc\u00e7 panda DataFrame’imiz var:<\/span><\/p>\n \u015eimdi bu \u00fc\u00e7 DataFrame’i tutacak b\u00fcy\u00fck bir DataFrame olu\u015fturmak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n Bunu yapmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Daha sonra belirli i\u00e7 i\u00e7e ge\u00e7mi\u015f DataFrame’lere eri\u015fmek i\u00e7in pandas iloc<\/strong> i\u015flevini kullanabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, i\u00e7 i\u00e7e ge\u00e7mi\u015f ilk DataFrame’e eri\u015fmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Veya ikinci yuvalanm\u0131\u015f DataFrame’e eri\u015fmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas’ta dizini s\u00fctuna d\u00f6n\u00fc\u015ft\u00fcrme<\/a> Birden \u00e7ok panda DataFrame’i ba\u015fka bir DataFrame’in i\u00e7ine yerle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df_all = pd. DataFrame ({‘ idx ‘:[1,2,3],’ dfs ‘:[df1,df2,df3]}) Bu \u00f6zel \u00f6rnek, \u00fc\u00e7 DataFrame’i ( df1 , df2 , df3 ) df_all ad\u0131 verilen daha b\u00fcy\u00fck bir DataFrame’e yerle\u015ftirir. Daha sonra belirli i\u00e7 i\u00e7e ge\u00e7mi\u015f DataFrame’lerden birine eri\u015fmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: […]<\/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-4209","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])<\/strong><\/pre>\n \u00d6rnek: Pandas’ta i\u00e7 i\u00e7e ge\u00e7mi\u015f bir DataFrame olu\u015fturma<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' item<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n ' sales<\/span> ': [18, 22, 19, 14, 30]})\n\nprint<\/span> (df1)\n\n item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' item<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n ' sales<\/span> ': [10, 12, 13, 13, 19]})\n\nprint<\/span> (df2)\n\n item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19\n\n#create third DataFrame\n<\/span>df3 = pd. DataFrame<\/span> ({' item<\/span> ': ['K', 'L', 'M', 'N', 'O'],\n ' sales<\/span> ': [41, 22, 28, 25, 18]})\n\nprint<\/span> (df3)\n\n item sales\n0 K 41\n1 L 22\n2 M 28\n3 N 25\n4 O 18\n<\/strong><\/pre>\n df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])\n\n item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n<\/strong><\/pre>\n #display second nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [1])\n\n item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandas’ta indeks nas\u0131l yeniden adland\u0131r\u0131l\u0131r<\/a>
Pandalarda s\u00fctunu indeks olarak nas\u0131l ayarlayabilirim?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"