<\/p>\n
Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, pandas DataFrame’e yeni bir sat\u0131r eklemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak yeni sat\u0131rdaki de\u011ferlerin say\u0131s\u0131 mevcut DataFrame’deki s\u00fctun say\u0131s\u0131yla e\u015fle\u015fmedi\u011finde ortaya \u00e7\u0131kar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki pandalar\u0131 DataFrame olu\u015fturdu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi DataFrame’in sonuna yeni bir sat\u0131r eklemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Eklemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z yeni sat\u0131r\u0131n yaln\u0131zca iki de\u011feri olmas\u0131, ancak mevcut DataFrame’in d\u00f6rt s\u00fctunu olmas\u0131 nedeniyle ValueError<\/strong> al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin en kolay yolu, eksik de\u011ferleri otomatik olarak NaN ile dolduracak olan yeni sat\u0131r\u0131 DataFrame’in sonuna eklemek i\u00e7in apend()<\/strong> i\u015flevini kullanmakt\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki s\u00f6zdizimi bu i\u015flevin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Herhangi bir ValueError<\/strong> almad\u0131\u011f\u0131m\u0131z\u0131 ve yeni sat\u0131r\u0131n DataFrame’in sonuna eklendi\u011fini unutmay\u0131n.<\/span><\/p>\n Ayr\u0131ca yeni sat\u0131rdaki iki eksik de\u011ferin basit\u00e7e NaN de\u011ferleriyle dolduruldu\u011funu unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’daki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Nas\u0131l d\u00fczeltilir? S\u00fctunlar \u00e7ak\u0131\u015f\u0131yor ancak son ek belirtilmemi\u015f<\/a> Pandalar\u0131 kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata: ValueError : cannot set a row with mismatched columns Bu hata, pandas DataFrame’e yeni bir sat\u0131r eklemeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak yeni sat\u0131rdaki de\u011ferlerin say\u0131s\u0131 mevcut DataFrame’deki s\u00fctun say\u0131s\u0131yla e\u015fle\u015fmedi\u011finde ortaya \u00e7\u0131kar. A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir. Hata nas\u0131l yeniden olu\u015fturulur? A\u015fa\u011f\u0131daki pandalar\u0131 DataFrame olu\u015fturdu\u011fumuzu varsayal\u0131m: import pandas as […]<\/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-2833","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n ValueError<\/span> : cannot set a row with mismatched columns\n<\/strong><\/pre>\n Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28, 22],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 8],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12, 9]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n8 I 22 8 9\n<\/strong><\/pre>\n #define new row to append\nnew_team = ['I', 30]\n\n#append row to DataFrame\n<\/span>df. loc<\/span> [ len<\/span> (df)] = new_team\n\n#view updated DataFrame\n<\/span>df\n\nValueError<\/span> : cannot set a row with mismatched columns\n<\/span><\/span><\/strong><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#define new row to append\nnew = ['J', 30]<\/span>\n\n#append row to end of DataFrame\n<\/span>df = df. append<\/span> ( pd.Series<\/span> (new,index= df.columns<\/span> [: len<\/span> (new)]), ignore_index= True<\/span> )\n\n#view updated DataFrame<\/span>\ndf\n\n\tteam points assists rebounds\n0 to 18 5.0 11.0\n1 B 22 7.0 8.0\n2 C 19 7.0 10.0\n3 D 14 9.0 6.0\n4 E 14 12.0 6.0\n5 F 11 9.0 5.0\n6 G 20 9.0 9.0\n7:28 a.m. 4.0 12.0\n8 I 22 8.0 9.0\n9 D 30 NaN NaN\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Nas\u0131l d\u00fczeltilir: ‘numpy.ndarray’ nesnesinin ‘append’ \u00f6zelli\u011fi yok<\/a>
Nas\u0131l d\u00fczeltilir? T\u00fcm skaler de\u011ferleri kullan\u0131yorsan\u0131z bir dizin iletmeniz gerekir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"