<\/p>\n
Bir panda DataFrame s\u00fctununu nesneden kayan noktaya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Astype()’\u0131 kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: to_numeric() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Her iki y\u00f6ntem de ayn\u0131 sonucu verir.<\/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, bir nesnenin DataFrame’inin nokta s\u00fctununu kayan noktaya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in astype()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Puan s\u00fctununun art\u0131k float64<\/strong> veri t\u00fcr\u00fcne sahip oldu\u011funu unutmay\u0131n.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir nesnenin DataFrame’inin nokta s\u00fctununu kayan noktaya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in to_numeric()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Puan s\u00fctununun art\u0131k float64<\/strong> veri t\u00fcr\u00fcne sahip oldu\u011funu unutmay\u0131n.<\/span><\/p>\n Ayr\u0131ca bu y\u00f6ntemin \u00f6nceki y\u00f6ntemle tamamen ayn\u0131 sonucu verdi\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalarda boole de\u011ferleri tamsay\u0131 de\u011ferlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a> Bir panda DataFrame s\u00fctununu nesneden kayan noktaya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz: Y\u00f6ntem 1: Astype()’\u0131 kullan\u0131n df[‘ column_name ‘] = df[‘ column_name ‘]. astype (float) Y\u00f6ntem 2: to_numeric() i\u015flevini kullan\u0131n df[‘ column_name ‘] = pd. to_numeric (df[‘ column_name ‘]) Her iki y\u00f6ntem de ayn\u0131 sonucu verir. A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin a\u015fa\u011f\u0131daki pandalar DataFrame ile […]<\/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-3130","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' column_name<\/span> '] = df[' column_name<\/span> ']. astype<\/span> (float)<\/strong><\/pre>\n df[' column_name<\/span> '] = pd. to_numeric<\/span> (df[' column_name<\/span> '])<\/strong><\/b><\/pre>\n import<\/span> pandas as<\/span> pd\n<\/span><\/span>\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': ['18', '22.2', '19.1', '14', '14', '11.5', '20', '28'],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points assists\n0 to 18 5\n1 B 22.2 7\n2 C 19.1 7\n3 D 14 9\n4 E 14 12\n5 F 11.5 9\n6 G 20 9\n7:28 a.m. 4\n\n#check data type of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\npoints object\nassists int64\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 1: Bir nesneyi kayan noktaya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in astype() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
#convert points column from object to float\ndf[' points<\/span> '] = df[' points<\/span> ']. astype<\/span> (float)\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n team points assists\n0 A 18.0 5\n1 B 22.2 7\n2 C 19.1 7\n3D 14.0 9\n4 E 14.0 12\n5 F 11.5 9\n6G 20.0 9\n7 A.M. 28.0 4\n<\/span>\n#view updated data types\nprint<\/span> ( df.dtypes<\/span> )\n\nteam object\nfloat64 points\nassists int64\ndtype:object<\/span><\/span><\/strong>\n<\/pre>\n Y\u00f6ntem 2: Bir Nesneyi Kayan Noktaya D\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in to_numeric() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
#convert points column from object to float\ndf[' points<\/span> '] = pd. to_numeric<\/span> (df[' points<\/span> '], errors=' coerce<\/span> ')\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n team points assists\n0 A 18.0 5\n1 B 22.2 7\n2 C 19.1 7\n3D 14.0 9\n4 E 14.0 12\n5 F 11.5 9\n6G 20.0 9\n7 A.M. 28.0 4\n<\/span>\n#view updated data types\nprint<\/span> ( df.dtypes<\/span> )\n\nteam object\nfloat64 points\nassists int64\ndtype:object<\/span><\/span><\/strong>\n<\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’da DateTime’\u0131 dizeye d\u00f6n\u00fc\u015ft\u00fcrme<\/a>
Pandas’ta s\u00fctunlar\u0131 tam say\u0131lara d\u00f6n\u00fc\u015ft\u00fcrme<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"