<\/p>\n
Mevcut bir DataFrame’den yeni bir pandas DataFrame olu\u015fturman\u0131n \u00fc\u00e7 yayg\u0131n yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: Eski DataFrame’den birden \u00e7ok s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Eski DataFrame’den bir s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Eski DataFrame’in biri hari\u00e7 t\u00fcm s\u00fctunlar\u0131n\u0131 kullanarak yeni bir DataFrame olu\u015fturun<\/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, eski DataFrame’den birden \u00e7ok s\u00fctun kullanarak yeni bir DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu yeni DataFrame’in yaln\u0131zca eski DataFrame’deki noktalar\u0131<\/strong> ve geri d\u00f6nen<\/strong> s\u00fctunlar\u0131 i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n Not<\/strong> : Yeni DataFrame’i herhangi bir \u015fekilde de\u011fi\u015ftirirsek herhangi bir SettingWithCopyWarning’den<\/a> ka\u00e7\u0131nmak i\u00e7in yeni DataFrame’i olu\u015ftururken copy()<\/strong> i\u015flevini kullanmak \u00f6nemlidir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, eski DataFrame’den bir s\u00fctun kullanarak yeni bir DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu yeni DataFrame’in yaln\u0131zca eski DataFrame’in noktalar\u0131n\u0131<\/strong> ve s\u00fctunlar\u0131n\u0131 i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, eski DataFrame’deki s\u00fctunlardan biri hari\u00e7 t\u00fcm\u00fcn\u00fc kullanarak yeni bir DataFrame’in nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu yeni DataFrame’in, noktalar<\/strong> s\u00fctunu d\u0131\u015f\u0131nda<\/em> orijinal DataFrame’deki t\u00fcm s\u00fctunlar\u0131 i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n S\u00fctun adlar\u0131yla bo\u015f bir Pandas DataFrame nas\u0131l olu\u015fturulur<\/a> Mevcut bir DataFrame’den yeni bir pandas DataFrame olu\u015fturman\u0131n \u00fc\u00e7 yayg\u0131n yolu vard\u0131r: Y\u00f6ntem 1: Eski DataFrame’den birden \u00e7ok s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun new_df = old_df[[‘ col1 ‘, ‘ col2 ‘]]. copy () Y\u00f6ntem 2: Eski DataFrame’den bir s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun new_df = old_df[[‘ col1 ‘]]. copy () Y\u00f6ntem 3: Eski […]<\/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-3122","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n new_df = old_df[[' col1<\/span> ', ' col2<\/span> ']]. copy<\/span> ()\n<\/strong><\/pre>\n new_df = old_df[[' col1<\/span> ']]. copy<\/span> ()<\/strong><\/pre>\n new_df = old_df. drop<\/span> (' col1<\/span> ', axis= 1<\/span> )<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\nold_df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 7, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (old_df)\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 1: Eski DataFrame’den birden fazla s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun<\/strong><\/span><\/h3>\n
#create new DataFrame from existing DataFrame\n<\/span>new_df = old_df[[' points<\/span> ', ' rebounds<\/span> ']]. copy<\/span> ()\n\n#view new DataFrame\n<\/span>print<\/span> (new_df)\n\n rebound points\n0 18 11\n1 22 8\n2 19 10\n3 14 6\n4 14 6\n5 11 7\n6 20 9\n7 28 12\n\n#check data type of new DataFrame\n<\/span>type<\/span> (new_df)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: Eski DataFrame’den bir s\u00fctun kullanarak yeni bir DataFrame olu\u015fturun<\/strong><\/span><\/h3>\n
#create new DataFrame from existing DataFrame\n<\/span>new_df = old_df[[' points<\/span> ']]. copy<\/span> ()\n\n#view new DataFrame\n<\/span>print<\/span> (new_df)\n\n points\n0 18\n1 22\n2 19\n3 14\n4 14\n5 11\n6 20\n7 28\n\n#check data type of new DataFrame\n<\/span>type<\/span> (new_df)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n \u00d6rnek 3: Eski DataFrame’in biri hari\u00e7 t\u00fcm s\u00fctunlar\u0131n\u0131 kullanarak yeni bir DataFrame olu\u015fturun<\/strong><\/span><\/h3>\n
#create new DataFrame from existing DataFrame\n<\/span>new_df = old_df. drop<\/span> (' points<\/span> ', axis= 1<\/span> )\n\n#view new DataFrame\n<\/span>print<\/span> (new_df)\n\n team assists rebounds\n0 to 5 11\n1 to 7 8\n2 to 7 10\n3 to 9 6\n4 B 12 6\n5 B 9 7\n6 B 9 9\n7 B 4 12\n\n#check data type of new DataFrame\n<\/span>type<\/span> (new_df)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas DataFrame’e s\u00fctun nas\u0131l eklenir
Pandas DataFrame’e birden fazla s\u00fctun nas\u0131l eklenir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"