<\/p>\n
Pandas DataFrame’in bir s\u00fctunundaki de\u011ferleri bir ko\u015fula g\u00f6re de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n “Puan” s\u00fctunundaki 10’dan b\u00fcy\u00fck her de\u011feri 20 de\u011feriyle de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n “Puan” s\u00fctunundaki 10’dan b\u00fcy\u00fck \u00fc\u00e7 de\u011ferin her birinin 20 de\u011feriyle de\u011fi\u015ftirildi\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n Puanlar\u0131n 10’dan az oldu\u011fu veya<\/em> asistlerin 5’ten az oldu\u011fu “pozisyon” s\u00fctunundaki her de\u011feri “K\u00f6t\u00fc” dizesiyle de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Benzer \u015fekilde, puanlar\u0131n 10’dan k\u00fc\u00e7\u00fck oldu\u011fu ve<\/i> paslar\u0131n 5’ten k\u00fc\u00e7\u00fck oldu\u011fu “konum” s\u00fctunundaki her de\u011feri “K\u00f6t\u00fc” dizesiyle de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Puanlar\u0131n 10’dan az ve<\/em> asistlerin 5’ten az oldu\u011fu iki \u00e7izginin “konum” de\u011ferinin “K\u00f6t\u00fc” dizesiyle de\u011fi\u015ftirildi\u011fini unutmay\u0131n.<\/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 Pandalar’da birden \u00e7ok ko\u015fula g\u00f6re sat\u0131rlar nas\u0131l se\u00e7ilir<\/a> Pandas DataFrame’in bir s\u00fctunundaki de\u011ferleri bir ko\u015fula g\u00f6re de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: #replace values in ‘column1’ that are greater than 10 with 20 df. loc [df[‘ column1 ‘] > 10, ‘ column1 ‘] = 20 A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: Bir ko\u015fula g\u00f6re bir s\u00fctundaki de\u011ferleri de\u011fi\u015ftirme 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-2363","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #replace values in 'column1' that are greater than 10 with 20<\/span>\ndf. loc<\/span> [df[' column1<\/span> '] > 10, ' column1<\/span> '] = 20\n<\/strong><\/pre>\n \u00d6rnek 1: Bir ko\u015fula g\u00f6re bir s\u00fctundaki de\u011ferleri de\u011fi\u015ftirme<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' position<\/span> ': ['G', 'G', 'F', 'F', 'G', 'G', 'F', 'F'],\n ' points<\/span> ': [5, 7, 7, 9, 12, 13, 9, 14],\n ' assists<\/span> ': [3, 8, 2, 6, 6, 5, 9, 5]})\n\n#view DataFrame\n<\/span>df\n\n\tteam position points assists\n0 A G 5 3\n1 A G 7 8\n2 A F 7 2\n3 A F 9 6\n4 B G 12 6\n5 B G 13 5\n6 B F 9 9\n7 B F 14 5 \n<\/span><\/span><\/strong><\/pre>\n #replace any values in 'points' column greater than 10 with 20\n<\/span>df. loc<\/span> [df[' points<\/span> '] > 10, ' points<\/span> '] = 20\n\n#view updated DataFrame\n<\/span>df\n\n\tteam position points assists\n0 A G 5 3\n1 A G 7 8\n2 A F 7 2\n3 A F 9 6\n4 B G 20 6\n5 B G 20 5\n6 B F 9 9\n7 B F 20 5\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Bir s\u00fctundaki de\u011ferleri birden \u00e7ok ko\u015fula g\u00f6re de\u011fi\u015ftirme<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' position<\/span> ': ['G', 'G', 'F', 'F', 'G', 'G', 'F', 'F'],\n ' points<\/span> ': [5, 7, 7, 9, 12, 13, 9, 14],\n ' assists<\/span> ': [3, 8, 2, 6, 6, 5, 9, 5]})\n\n#view DataFrame\n<\/span>df\n\n\tteam position points assists\n0 A G 5 3\n1 A G 7 8\n2 A F 7 2\n3 A F 9 6\n4 B G 12 6\n5 B G 13 5\n6 B F 9 9\n7 B F 14 5 \n<\/span><\/span><\/strong><\/pre>\n #replace string in 'position' column with 'bad' if points < 10 or assists < 5\ndf. loc<\/span> [(df[' points<\/span> '] < 10) |<\/span> (df[' assists<\/span> '] < 5), ' position<\/span> '] = ' Bad<\/span> '\n\n#view updated DataFrame\n<\/span>df\n\n team position points assists\n0 A Bad 5 3\n1 A Bad 7 8\n2 A Bad 7 2\n3 A Bad 9 6\n4 B G 20 6\n5 B G 20 5\n6 B Bad 9 9\n7 B F 20 5\n<\/span><\/span><\/strong><\/pre>\n #replace string in 'position' column with 'bad' if points < 10 and assists < 5\ndf. loc<\/span> [(df[' points<\/span> '] < 10) &<\/span> (df[' assists<\/span> '] < 5), ' position<\/span> '] = ' Bad<\/span> '\n\n#view updated DataFrame\n<\/span>df\n\n team position points assists\n0 A Bad 5 3\n1 A G 7 8\n2 A Bad 7 2\n3 A F 9 6\n4 B G 12 6\n5 B G 13 5\n6 B F 9 9\n7 B F 14 5<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’da bir ko\u015fula dayal\u0131 yeni bir s\u00fctun nas\u0131l olu\u015fturulur?<\/a>
Pandas DataFrame’i birden \u00e7ok ko\u015fulda filtreleme<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"