<\/p>\n
Pandas DataFrame’de bir s\u00fctunun tamam\u0131n\u0131n alt dizesini almak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, string_column<\/strong> i\u00e7indeki 1’den 4’e kadar konumlardaki karakterleri i\u00e7eren some_substring<\/strong> ad\u0131nda yeni bir s\u00fctun olu\u015fturur.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki \u00e7e\u015fitli basketbol tak\u0131mlar\u0131 hakk\u0131nda bilgiler i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahibiz:<\/span><\/p>\n Tak\u0131m<\/strong> s\u00fctunundaki karakterleri i\u00e7eren 1 ve 4 konumlar\u0131 aras\u0131nda yeni bir s\u00fctun olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Team_substring<\/strong> ad\u0131 verilen yeni s\u00fctun, ekip s\u00fctunundaki 1 ile 4 konumlar\u0131 aras\u0131ndaki karakterleri i\u00e7erir.<\/span><\/p>\n Say\u0131sal bir s\u00fctundan bir alt dize \u00e7\u0131karmak i\u00e7in bu s\u00f6zdizimini kullanmaya \u00e7al\u0131\u015f\u0131rsan\u0131z bir hata alaca\u011f\u0131n\u0131z\u0131 unutmay\u0131n:<\/span><\/p>\n Bunun yerine, \u00f6ncelikle say\u0131sal s\u00fctunu astype(str)<\/strong> kullanarak bir dizeye d\u00f6n\u00fc\u015ft\u00fcrmeniz gerekir:<\/span><\/p>\n Bu sefer nokta<\/strong> s\u00fctunundaki 0’dan 2’ye kadar olan konumlardaki karakterleri ba\u015far\u0131l\u0131 bir \u015fekilde \u00e7\u0131karabildik \u00e7\u00fcnk\u00fc \u00f6nce onlar\u0131 bir dizeye d\u00f6n\u00fc\u015ft\u00fcrd\u00fck.<\/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 Pandalar: Dizenin birden fazla alt dize i\u00e7erip i\u00e7ermedi\u011fini kontrol edin<\/a> Pandas DataFrame’de bir s\u00fctunun tamam\u0131n\u0131n alt dizesini almak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ some_substring ‘] = df[‘ string_column ‘]. str [1:4] Bu \u00f6zel \u00f6rnek, string_column i\u00e7indeki 1’den 4’e kadar konumlardaki karakterleri i\u00e7eren some_substring ad\u0131nda yeni bir s\u00fctun olu\u015fturur. A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Pandalar’da t\u00fcm s\u00fctunun alt dizesini al\u0131n Diyelim […]<\/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-3770","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' some_substring<\/span> '] = df[' string_column<\/span> ']. str<\/span> [1:4]\n<\/strong><\/pre>\n \u00d6rnek: Pandalar’da t\u00fcm s\u00fctunun alt dizesini al\u0131n<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavericks', 'Warriors', 'Rockets', 'Hornets', 'Lakers'],\n ' points<\/span> ': [120, 132, 108, 118, 106]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points\n0 Mavericks 120\n1 Warriors 132\n2 Rockets 108\n3 Hornets 118\n4 Lakers 106<\/strong><\/span><\/pre>\n #create column that extracts characters in positions 1 through 4 in team column\n<\/span>df[' team_substring<\/span> '] = df[' team<\/span> ']. str<\/span> [1:4]\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n team points team_substring\n0 Mavericks 120 ave\n1 Warriors 132 arr\n2 Rockets 108 ock\n3 Hornets 118 orn\n4 Lakers 106 ake\n<\/span><\/span><\/strong><\/pre>\n #attempt to extract characters in positions 0 through 2 in points column\n<\/span>df[' points_substring<\/span> '] = df[' points<\/span> ']. str<\/span> [:2]\n\nAttributeError: Can only use .str accessor with string values!\n<\/span><\/span><\/strong><\/pre>\n #extract characters in positions 0 through 2 in points column\n<\/span>df[' points_substring<\/span> '] = df[' points<\/span> ']. astype<\/span> (str). str<\/span> [:2]\n\n#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n team points points_substring\n0 Mavericks 120 12\n1 Warriors 132 13\n2 Rockets 108 10\n3 Hornets 118 11\n4 Lakers 106 10<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: bir s\u00fctundaki her de\u011fere bir dize nas\u0131l eklenir<\/a>
Pandalar: belirli bir dize i\u00e7eren s\u00fctunlar\u0131n nas\u0131l se\u00e7ilece\u011fi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"