<\/p>\n
Panda DataFrame’in bir s\u00fctununu listeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: tolist() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: list()’i kullan\u0131n<\/strong><\/span><\/p>\n Her iki y\u00f6ntem de tam olarak ayn\u0131 sonucu verecektir.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’in “noktalar” s\u00fctununu bir listeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in tolist()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonucun bir liste oldu\u011funu type()<\/strong> i\u015flevini kullanarak do\u011frulayabiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’in “noktalar” s\u00fctununu bir listeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in list()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonucun bir liste oldu\u011funu type()<\/strong> i\u015flevini kullanarak do\u011frulayabiliriz:<\/span><\/p>\n Her iki y\u00f6ntemin de tamamen ayn\u0131 sonu\u00e7lar\u0131 d\u00f6nd\u00fcrd\u00fc\u011f\u00fcn\u00fc unutmay\u0131n.<\/span><\/p>\n Son derece b\u00fcy\u00fck DataFrame’ler i\u00e7in tolist()<\/strong> y\u00f6nteminin en h\u0131zl\u0131 y\u00f6ntem olma e\u011filiminde oldu\u011funu unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde panda DataFrame’in s\u00fctunlar\u0131yla di\u011fer ortak i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar’daki s\u00fctunlar nas\u0131l silinir<\/a> Panda DataFrame’in bir s\u00fctununu listeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz: Y\u00f6ntem 1: tolist() i\u015flevini kullan\u0131n df[‘ my_column ‘]. tolist () Y\u00f6ntem 2: list()’i kullan\u0131n list(df[‘ my_column ‘]) Her iki y\u00f6ntem de tam olarak ayn\u0131 sonucu verecektir. A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd #createDataFrame […]<\/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-3070","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' my_column<\/span> ']. tolist<\/span> ()<\/strong><\/pre>\n list(df[' my_column<\/span> '])<\/b><\/pre>\n import<\/span> pandas as<\/span> pd\n<\/span><\/span>\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'B'],\n ' points<\/span> ': [99, 90, 93, 86, 88, 82],\n ' assists<\/span> ': [33, 28, 31, 39, 34, 30]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points assists\n0 to 99 33\n1 A 90 28\n2 A 93 31\n3 B 86 39\n4 B 88 34\n5 B 82 30<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 1: tolist() Kullanarak Bir S\u00fctunu Listeye D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
#convert column to list\n<\/span>my_list = df[' points<\/span> ']. tolist<\/span> ()\n\n#view list\n<\/span>print<\/span> (my_list)\n\n[99, 90, 93, 86, 88, 82]<\/strong>\n<\/pre>\n #check datatype\n<\/span>type<\/span> (my_list)\n\nlist\n<\/strong><\/pre>\n Y\u00f6ntem 2: list() i\u015flevini kullanarak bir S\u00fctunu Listeye D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
#convert column to list\n<\/span>my_list = list(df[' points<\/span> '])\n#view list\n<\/span>print<\/span> (my_list)\n\n[99, 90, 93, 86, 88, 82]<\/strong>\n<\/pre>\n #check data type\n<\/span>type<\/span> (my_list)\n\nlist<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’da s\u00fctunlar nas\u0131l hari\u00e7 tutulur?<\/a>
Pandalar’da se\u00e7ilen s\u00fctunlara bir i\u015flev nas\u0131l uygulan\u0131r?
Pandas DataFrame’de s\u00fctun s\u0131ras\u0131 nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"