<\/p>\n
Genellikle pandalar\u0131n DataFrame’indeki s\u00fctunlar\u0131 dizin de\u011ferlerine g\u00f6re se\u00e7mek isteyebilirsiniz.<\/span><\/p>\n Tamsay\u0131 indekslemeye dayal\u0131 s\u00fctunlar\u0131 se\u00e7mek istiyorsan\u0131z .iloc<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n S\u00fctunlar\u0131 etiket indekslemeye g\u00f6re se\u00e7mek istiyorsan\u0131z .loc<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu e\u011fitimde, bu i\u015flevlerin her birinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131na dair bir \u00f6rnek verilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve tamsay\u0131 dizin de\u011feri 3<\/strong> olan s\u00fctunu se\u00e7mek i\u00e7in .iloc’un<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Birden \u00e7ok s\u00fctun se\u00e7mek i\u00e7in benzer s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Veya bir aral\u0131ktaki t\u00fcm s\u00fctunlar\u0131 se\u00e7ebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve “bounces”<\/strong> dizin etiketine sahip s\u00fctunu se\u00e7mek i\u00e7in .loc’un<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Farkl\u0131 dizin etiketlerine sahip birden \u00e7ok s\u00fctun se\u00e7mek i\u00e7in benzer s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Veya bir aral\u0131ktaki t\u00fcm s\u00fctunlar\u0131 se\u00e7ebiliriz:<\/span><\/p>\n \u0130lgili:<\/strong><\/span> Pandalar loc vs iloc: fark nedir?<\/a><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas DataFrame’de dizine g\u00f6re nas\u0131l grupland\u0131r\u0131l\u0131r<\/a> Genellikle pandalar\u0131n DataFrame’indeki s\u00fctunlar\u0131 dizin de\u011ferlerine g\u00f6re se\u00e7mek isteyebilirsiniz. Tamsay\u0131 indekslemeye dayal\u0131 s\u00fctunlar\u0131 se\u00e7mek istiyorsan\u0131z .iloc i\u015flevini kullanabilirsiniz. S\u00fctunlar\u0131 etiket indekslemeye g\u00f6re se\u00e7mek istiyorsan\u0131z .loc i\u015flevini kullanabilirsiniz. Bu e\u011fitimde, bu i\u015flevlerin her birinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131na dair bir \u00f6rnek verilmektedir. \u00d6rnek 1: Tamsay\u0131 Dizine Eklemeye G\u00f6re S\u00fctunlar\u0131 Se\u00e7in A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 […]<\/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-2407","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: Tamsay\u0131 Dizine Eklemeye G\u00f6re S\u00fctunlar\u0131 Se\u00e7in<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'B'],\n ' points<\/span> ': [11, 7, 8, 10, 13, 13],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 11 5 11\n1 To 7 7 8\n2 to 8 7 10\n3 B 10 9 6\n4 B 13 12 6\n5 B 13 9 5\n\n<\/span>#select column with index position 3\n<\/span>df. iloc<\/span> [:, 3]\n\n0 11\n1 8\n2 10\n3 6\n4 6\n5 5\nName: rebounds, dtype: int64<\/span><\/span><\/span><\/strong><\/pre>\n #select columns with index positions 1 and 3\ndf. iloc<\/span> [:, [1, 3]]\n\n\n rebound points\n0 11 11\n1 7 8\n2 8 10\n3 10 6\n4 13 6\n5 13 5\n<\/span><\/span><\/strong><\/pre>\n #select columns with index positions in range 0 through 3\ndf. iloc<\/span> [:, 0:3]\n\n team points assists\n0 to 11 5\n1 To 7 7\n2 to 8 7\n3 B 10 9\n4 B 13 12\n5 B 13 9<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: S\u00fctunlar\u0131 Etiket Dizinine G\u00f6re Se\u00e7me<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'B'],\n ' points<\/span> ': [11, 7, 8, 10, 13, 13],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 11 5 11\n1 To 7 7 8\n2 to 8 7 10\n3 B 10 9 6\n4 B 13 12 6\n5 B 13 9 5\n\n#select column with index label 'rebounds'\n<\/span>df. loc<\/span> [:, ' rebounds<\/span> ']\n\n0 11\n1 8\n2 10\n3 6\n4 6\n5 5\nName: rebounds, dtype: int64<\/span><\/span><\/strong><\/pre>\n #select the columns with index labels 'points' and 'rebounds'\ndf. loc<\/span> [:,[' points<\/span> ',' rebounds<\/span> ']]\n\n\trebound points\n0 11 11\n1 7 8\n2 8 10\n3 10 6\n4 13 6\n5 13 5<\/span><\/span><\/strong><\/pre>\n #select columns with index labels between 'team' and 'assists'\ndf. loc<\/span> [:, ' team<\/span> ':' assists<\/span> ']\n\n\tteam points assists\n0 to 11 5\n1 To 7 7\n2 to 8 7\n3 B 10 9\n4 B 13 12\n5 B 13 9<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas DataFrame’de dizine g\u00f6re sat\u0131rlar nas\u0131l se\u00e7ilir<\/a>
Pandas DataFrame’de sat\u0131r numaralar\u0131 nas\u0131l al\u0131n\u0131r?<\/a>
Pandas DataFrame’deki dizin s\u00fctunu nas\u0131l kald\u0131r\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"