<\/p>\n
Bir pandan\u0131n DataFrame’inden birden fazla s\u00fctun se\u00e7mek i\u00e7in kullanabilece\u011finiz \u00fc\u00e7 temel y\u00f6ntem vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: s\u00fctunlar\u0131 dizine g\u00f6re se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Dizin Aral\u0131\u011f\u0131nda S\u00fctunlar\u0131 Se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 3: S\u00fctunlar\u0131 Ada G\u00f6re Se\u00e7in<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 0, 1 ve 3 dizin konumlar\u0131ndaki s\u00fctunlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n 0, 1 ve 3 dizin konumlar\u0131ndaki s\u00fctunlar\u0131n se\u00e7ildi\u011fini unutmay\u0131n.<\/span><\/p>\n Not<\/strong> : Bir pandan\u0131n DataFrame’inin ilk s\u00fctunu 0 konumunda bulunur.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 0 ile 3 aras\u0131ndaki dizin aral\u0131\u011f\u0131ndaki s\u00fctunlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n Aral\u0131\u011f\u0131n son de\u011ferinde (3) yer alan s\u00fctunun \u00e7\u0131kt\u0131ya dahil edilmeyece\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, s\u00fctunlar\u0131n ada g\u00f6re nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/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 Pandalarda t\u00fcm s\u00fctun adlar\u0131 nas\u0131l listelenir?<\/a> Bir pandan\u0131n DataFrame’inden birden fazla s\u00fctun se\u00e7mek i\u00e7in kullanabilece\u011finiz \u00fc\u00e7 temel y\u00f6ntem vard\u0131r: Y\u00f6ntem 1: s\u00fctunlar\u0131 dizine g\u00f6re se\u00e7in df_new = df. iloc [:,[0,1,3]] Y\u00f6ntem 2: Dizin Aral\u0131\u011f\u0131nda S\u00fctunlar\u0131 Se\u00e7in df_new = df. iloc [:, 0:3] Y\u00f6ntem 3: S\u00fctunlar\u0131 Ada G\u00f6re Se\u00e7in df_new = df[[‘ col1 ‘, ‘ col2 ‘]] A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin a\u015fa\u011f\u0131daki […]<\/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-2185","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df_new = df. iloc<\/span> [:,[0,1,3]]<\/strong><\/pre>\n df_new = df. iloc<\/span> [:, 0:3]<\/strong><\/pre>\n df_new = df[[' col1<\/span> ', ' col2<\/span> ']]\n<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n ' blocks<\/span> ': [4, 7, 7, 6, 5, 8, 9, 10]})\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 4\n1 12 7 8 7\n2 15 7 10 7\n3 14 9 6 6\n4 19 12 6 5\n5 23 9 5 8\n6 25 9 9 9\n7 29 4 12 10\n<\/strong><\/span><\/pre>\n Y\u00f6ntem 1: s\u00fctunlar\u0131 dizine g\u00f6re se\u00e7in<\/strong><\/span><\/h3>\n
#select columns in index positions 0, 1, and 3\n<\/span>df_new = df. iloc<\/span> [:,[0,1,3]]\n\n#view new DataFrame\n<\/span>df_new\n\n points assists blocks\n0 25 5 4\n1 12 7 7\n2 15 7 7\n3 14 9 6\n4 19 12 5\n5 23 9 8\n6 25 9 9\n7 29 4 10\n<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 2: Dizin Aral\u0131\u011f\u0131nda S\u00fctunlar\u0131 Se\u00e7in<\/strong><\/span><\/h3>\n
#select columns in index range 0 to 3\n<\/span>df_new = df. iloc<\/span> [:, 0:3]\n\n#view new DataFrame\n<\/span>df_new\n\n points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 3: S\u00fctunlar\u0131 Ada G\u00f6re Se\u00e7in<\/strong><\/span><\/h3>\n
#select columns called 'points' and 'blocks'\n<\/span>df_new = df[[' points<\/span> ', ' blocks<\/span> ']]\n\n#view new DataFrame\n<\/span>df_new\n\n point blocks\n0 25 4\n1 12 7\n2 15 7\n3 14 6\n4 19 5\n5 23 8\n6 25 9\n7 29 10\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’daki s\u00fctunlar nas\u0131l silinir<\/a>
Pandas’ta dizini s\u00fctuna d\u00f6n\u00fc\u015ft\u00fcrme<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"