<\/p>\n
Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir uyar\u0131:<\/span><\/p>\n Bu uyar\u0131, pandalar zincir atama ad\u0131 verilen bir \u015feyle kar\u015f\u0131la\u015ft\u0131\u011f\u0131nda ortaya \u00e7\u0131kar; tek ad\u0131mda zincirleme ve ataman\u0131n birle\u015fimi.<\/span><\/p>\n Bunun bir hata de\u011fil, yaln\u0131zca bir uyar\u0131<\/em> oldu\u011funu unutmamak \u00f6nemlidir. Kodunuz \u00e7al\u0131\u015fmaya devam edecektir ancak sonu\u00e7lar her zaman bekledi\u011finiz gibi olmayabilir.<\/span><\/p>\n Bu uyar\u0131y\u0131 bast\u0131rman\u0131n en kolay yolu a\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanmakt\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu uyar\u0131ya pratikte nas\u0131l yan\u0131t verilece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalar\u0131 DataFrame olu\u015fturdu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi, orijinal DataFrame’den yaln\u0131zca “A” s\u00fctununu i\u00e7eren yeni bir DataFrame olu\u015fturdu\u011fumuzu ve “A” s\u00fctunundaki her de\u011feri 2’ye b\u00f6ld\u00fc\u011f\u00fcm\u00fcz\u00fc varsayal\u0131m:<\/span><\/p>\n Orijinal DataFrame’in bir “diliminde” “A” s\u00fctunu i\u00e7in yeni de\u011ferler ayarlad\u0131\u011f\u0131m\u0131z i\u00e7in SettingWithCopyWarning<\/strong> mesaj\u0131n\u0131 al\u0131yoruz.<\/span><\/p>\n Ancak olu\u015fturdu\u011fumuz yeni DataFrame’e bakt\u0131\u011f\u0131m\u0131zda her de\u011ferin asl\u0131nda 2’ye ba\u015far\u0131l\u0131 bir \u015fekilde b\u00f6l\u00fcnd\u00fc\u011f\u00fcn\u00fc g\u00f6rece\u011fiz:<\/span><\/p>\n Her ne kadar bir uyar\u0131 mesaj\u0131 alsak da pandalar yine de yapacaklar\u0131n\u0131 d\u00fc\u015f\u00fcnd\u00fc\u011f\u00fcm\u00fcz \u015feyi yapt\u0131lar.<\/span><\/p>\n Bu uyar\u0131y\u0131 \u00f6nlemek i\u00e7in .loc[row indexer, col indexer]<\/strong> s\u00f6zdiziminin a\u015fa\u011f\u0131daki gibi kullan\u0131lmas\u0131 \u00f6nerilir:<\/span><\/p>\n Yeni DataFrame, orijinal DataFrame’deki “A” s\u00fctunundaki t\u00fcm de\u011ferleri ikiye b\u00f6l\u00fcnm\u00fc\u015f olarak i\u00e7erir ve hi\u00e7bir uyar\u0131 mesaj\u0131 g\u00f6r\u00fcnmez.<\/span><\/p>\n Uyar\u0131 mesaj\u0131n\u0131n g\u00f6r\u00fcnt\u00fclenmesini engellemek istiyorsak a\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanabiliriz:<\/span><\/p>\n Zincir atamadan neden ka\u00e7\u0131n\u0131lmas\u0131 gerekti\u011fine ili\u015fkin ayr\u0131nt\u0131l\u0131 bir a\u00e7\u0131klama i\u00e7in \u00e7evrimi\u00e7i pandalar belgelerine<\/a> bak\u0131n.<\/span><\/p>\n Nas\u0131l d\u00fczeltilir? Pandalar ad\u0131nda mod\u00fcl yok<\/a> Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir uyar\u0131: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Bu uyar\u0131, pandalar zincir atama ad\u0131 verilen bir \u015feyle kar\u015f\u0131la\u015ft\u0131\u011f\u0131nda ortaya \u00e7\u0131kar; tek ad\u0131mda zincirleme ve ataman\u0131n birle\u015fimi. Bunun bir hata de\u011fil, yaln\u0131zca bir uyar\u0131 oldu\u011funu unutmamak \u00f6nemlidir. Kodunuz \u00e7al\u0131\u015fmaya devam edecektir ancak […]<\/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-1980","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n SettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame.\n<\/strong><\/pre>\n
p.d. options<\/span> . fashion<\/span> . chained_assignment<\/span> = None<\/span><\/strong><\/pre>\n Uyar\u0131 nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n ' B<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame\ndf<\/span>\n<\/span>\n\tA B C\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<\/strong><\/pre>\n #define new DataFrame\n<\/span>df2 = df[[' A<\/span> ']]\n\n<\/span>#divide all values in column 'A' by 2\ndf2[' A<\/span> '] = df[' A<\/span> '] \/ 2<\/span>\n\n\/srv\/conda\/envs\/notebook\/lib\/python3.7\/site-packages\/ipykernel_launcher.py:2:\nSettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame.\nTry using .loc[row_indexer,col_indexer] = value instead\n<\/span><\/span><\/strong><\/pre>\n #view new DataFrame\n<\/span>df2\n\n HAS\n0 12.5\n1 6.0\n2 7.5\n3 7.0\n4 9.5\n5 11.5\n6 12.5\n7 14.5\n<\/span><\/span><\/strong><\/pre>\n Uyar\u0131 nas\u0131l \u00f6nlenir<\/strong><\/span><\/h3>\n
#define new DataFrame\n<\/span>df2 = df. loc<\/span> [:,[' A<\/span> ']]\n\n#divide each value in column 'A' by 2\n<\/span>df2[' A<\/span> '] = df[' A<\/span> '] \/ 2\n\n#view result\n<\/span>df2\n\n HAS\n0 12.5\n1 6.0\n2 7.5\n3 7.0\n4 9.5\n5 11.5\n6 12.5\n7 14.5\n<\/span><\/span><\/strong><\/pre>\n #prevent SettingWithCopyWarning message from appearing\n<\/span>p.d. options<\/span> . fashion<\/span> . chained_assignment<\/span> = None<\/span>\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Nas\u0131l d\u00fczeltilir: numpy ad\u0131nda mod\u00fcl yok<\/a>
Nas\u0131l d\u00fczeltilir? S\u00fctunlar \u00e7ak\u0131\u015f\u0131yor ancak son ek belirtilmemi\u015f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"