<\/p>\n
Pandas DataFrame’deki sat\u0131rlar\u0131 Boolean s\u00fctun de\u011ferlerine g\u00f6re filtrelemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: DataFrame’i Boolean s\u00fctununa g\u00f6re filtreleme<\/strong><\/span><\/p>\n Y\u00f6ntem 2: DataFrame’i birden \u00e7ok Boolean s\u00fctununa g\u00f6re filtreleme<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Pandalar\u0131n DataFrame’ini yaln\u0131zca all_star<\/strong> s\u00fctunundaki de\u011ferin True oldu\u011fu sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelemek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n DataFrame’in yaln\u0131zca all_star<\/strong> s\u00fctunundaki de\u011feri True olan sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelendi\u011fini unutmay\u0131n.<\/span><\/p>\n Bunun yerine all_star’\u0131n<\/strong> False oldu\u011fu sat\u0131rlar\u0131 filtrelemek istiyorsan\u0131z, s\u00fctun ad\u0131n\u0131n \u00f6n\u00fcne yakla\u015f\u0131k i\u015fareti ( ~<\/strong> ) yazman\u0131z yeterlidir:<\/span><\/p>\n DataFrame art\u0131k yaln\u0131zca all_star<\/strong> s\u00fctunundaki de\u011feri False olan sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelendi.<\/span><\/p>\n Pandalar\u0131n DataFrame’ini yaln\u0131zca all_star<\/strong> s\u00fctununun veya<\/em> ba\u015flang\u0131\u00e7<\/strong> s\u00fctununun de\u011ferinin True oldu\u011fu sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelemek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n DataFrame’in yaln\u0131zca all_star<\/strong> veya<\/em> ba\u015flang\u0131\u00e7<\/strong> s\u00fctunundaki de\u011feri True olan sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelendi\u011fini unutmay\u0131n.<\/span><\/p>\n All_star<\/em> ve starter<\/strong> s\u00fctunlar\u0131ndaki de\u011feri True olan sat\u0131rlar\u0131 filtrelemek istiyorsan\u0131z |<\/strong> yerine &<\/strong> operat\u00f6r\u00fcn\u00fc kullanabilirsiniz .<\/strong> \u015eebeke:<\/span><\/p>\n Art\u0131k DataFrame, yaln\u0131zca all_star<\/strong> ve<\/i> ba\u015flang\u0131\u00e7<\/strong> s\u00fctunlar\u0131ndaki de\u011ferin True oldu\u011fu sat\u0131rlar\u0131 i\u00e7erecek \u015fekilde filtrelendi.<\/span><\/p>\n \u0130lgili:<\/strong> Pandalar’da loc ve iloc aras\u0131ndaki fark<\/a><\/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: bir boole serisi kullanarak DataFrame’den sat\u0131rlar\u0131 se\u00e7in<\/a> Pandas DataFrame’deki sat\u0131rlar\u0131 Boolean s\u00fctun de\u011ferlerine g\u00f6re filtrelemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: DataFrame’i Boolean s\u00fctununa g\u00f6re filtreleme #filter for rows where value in ‘my_column’ is True df. loc [df. my_column ] Y\u00f6ntem 2: DataFrame’i birden \u00e7ok Boolean s\u00fctununa g\u00f6re filtreleme #filter for rows where value in ‘column1’ or ‘column2’ is True df. loc […]<\/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-4248","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #filter for rows where value in 'my_column' is True\n<\/span>df. loc<\/span> [df. my_column<\/span> ]\n<\/strong><\/pre>\n #filter for rows where value in 'column1' or<\/em> 'column2' is True\n<\/span>df. loc<\/span> [df. column1<\/span> |<\/span> df. column2<\/span> ]<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G'],\n ' points<\/span> ': [18,20, 25, 40, 34, 32, 19],\n ' all_star<\/span> ': [True, False, True, True, True, False, False],\n ' starter<\/span> ': [False, True, True, True, False, False, False]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points all_star starter\n0 A 18 True False\n1 B 20 False True\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n5 F 32 False False\n6 G 19 False False\n<\/strong><\/pre>\n \u00d6rnek 1: DataFrame’i Boolean s\u00fctununa g\u00f6re filtreleme<\/strong><\/span><\/h2>\n
#filter for rows where 'all_star' is True\n<\/span>df. loc<\/span> [df. all_star<\/span> ]\n\n\tteam points all_star starter\n0 A 18 True False\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n<\/strong><\/pre>\n #filter for rows where 'all_star' is False\n<\/span>df. loc<\/span> [ ~<\/span> df. all_star<\/span> ]\n\n team points all_star starter\n1 B 20 False True\n5 F 32 False False\n6 G 19 False False\n<\/strong><\/pre>\n \u00d6rnek 2: DataFrame’i birden \u00e7ok Boolean s\u00fctununa g\u00f6re filtreleme<\/strong><\/span><\/h2>\n
#filter for rows where 'all_star' or<\/em> 'starter' is True\n<\/span>df. loc<\/span> [df. all_star<\/span> |<\/span> df. starter<\/span> ]\n\n team points all_star starter\n0 A 18 True False\n1 B 20 False True\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n<\/strong><\/pre>\n #filter for rows where 'all_star' and<\/i> 'starter' is True\n<\/span>df. loc<\/span> [df. all_star<\/span> &<\/span> df. starter<\/span> ]\n\n\tteam points all_star starter\n2 C 25 True True\n3 D 40 True True\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: ko\u015fula dayal\u0131 bir boole s\u00fctunu nas\u0131l olu\u015fturulur<\/a>
Pandalar: Boole de\u011ferleri tam say\u0131 de\u011ferlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"