{"id":2914,"date":"2023-07-20T03:08:41","date_gmt":"2023-07-20T03:08:41","guid":{"rendered":"https:\/\/statorials.org\/tr\/bulanik-eslesen-pandalar\/"},"modified":"2023-07-20T03:08:41","modified_gmt":"2023-07-20T03:08:41","slug":"bulanik-eslesen-pandalar","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/bulanik-eslesen-pandalar\/","title":{"rendered":"Pandalarda bulan\u0131k e\u015fle\u015ftirme nas\u0131l yap\u0131l\u0131r (\u00f6rnekle)"},"content":{"rendered":"

<\/p>\n

\n

\u00c7o\u011fu zaman, kusurlu \u015fekilde e\u015fle\u015fen dizelere dayal\u0131 olarak iki veri k\u00fcmesini pandalarda birle\u015ftirmek isteyebilirsiniz. Buna bulan\u0131k e\u015fle\u015ftirme<\/strong> denir.<\/span><\/p>\n

Pandalarda bulan\u0131k e\u015fle\u015ftirme yapman\u0131n en kolay yolu difflib<\/strong> paketindeki get_close_matches()<\/strong> i\u015flevini kullanmakt\u0131r.<\/span><\/p>\n

A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n

\u00d6rnek: pandalardaki bulan\u0131k yaz\u0131\u015fmalar<\/strong><\/span><\/h3>\n

Diyelim ki \u00e7e\u015fitli basketbol tak\u0131mlar\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki iki panda DataFrame’imiz var:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames\n<\/span>df1 = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavericks', 'Nets', 'Warriors', 'Heat', 'Lakers'],\n                    ' points<\/span> ': [99, 90, 104, 117, 100]})\n\ndf2 = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavricks', 'Warrors', 'Heat', 'Netts', 'Lakes'],\n                    ' assists<\/span> ': [22, 29, 17, 40, 32]})\n\n#view DataFrames\n<\/span>print<\/span> (df1)\n\n        team points\n0 Mavericks 99\n1 Nets 90\n2 Warriors 104\n3 Heat 117\n4 Lakers 100\n\nprint<\/span> (df2)\n\n       team assists\n0 Mavricks 22\n1 Warriors 29\n2 Heat 17\n3 Netts 40\n4 Lakes 32<\/strong><\/span><\/pre>\n
 \u015eimdi iki DataFrame’i Ekip<\/strong> s\u00fctununa g\u00f6re birle\u015ftirmek istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n
 Tak\u0131m adlar\u0131 iki DataFrame aras\u0131nda biraz farkl\u0131 oldu\u011fundan, en \u00e7ok e\u015fle\u015fen tak\u0131m adlar\u0131n\u0131 bulmak i\u00e7in bulan\u0131k e\u015fle\u015ftirmeyi kullanmam\u0131z gerekir.<\/span><\/p>\n
 Bunu yapmak i\u00e7in difflib<\/strong> paketindeki get_close_matches()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 import<\/span> difflib \n\n#create duplicate column to retain team name from df2\n<\/span>df2[' team_match<\/span> '] = df2[' team<\/span> ']\n\n#convert team name in df2 to team name it most closely matches in df1\n<\/span>df2[' team<\/span> '] = df2[' team<\/span> ']. apply<\/span> (lambda x: difflib. get_close_matches<\/span> (x, df1[' team<\/span> '])[ 0<\/span> ])\n\n#merge the DataFrames into one<\/span>\ndf3 = df1. merge<\/span> (df2)\n\n#view final DataFrame\n<\/span>print<\/span> (df3)\n\n        team points assists team_match\n0 Mavericks 99 22 Mavricks\n1 Nets 90 40 Nets\n2 Warriors 104 29 Warriors\n3 Heat 117 17 Heat\n4 Lakers 100 32 Lakes<\/strong><\/span><\/pre>\n
 Sonu\u00e7, ilk DataFrame’deki be\u015f tak\u0131m ad\u0131n\u0131n her birinin yan\u0131 s\u0131ra ikinci DataFrame’e en yak\u0131n e\u015fle\u015fen tak\u0131m\u0131 i\u00e7eren bir veri \u00e7er\u00e7evesidir.<\/span><\/p>\n
 Team_match<\/strong> s\u00fctunu, ilk DataFrame’deki tak\u0131m ad\u0131yla en yak\u0131ndan e\u015fle\u015fen ikinci DataFrame’deki tak\u0131m ad\u0131n\u0131 g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n
 Not #1<\/strong> : Varsay\u0131lan olarak get_close_matches() i\u015flevi<\/strong> en yak\u0131n \u00fc\u00e7 e\u015fle\u015fmeyi d\u00f6nd\u00fcr\u00fcr. Ancak lambda fonksiyonunun sonundaki [0]’<\/strong> \u0131 kullanarak sadece en yak\u0131n tak\u0131m ad\u0131 e\u015fle\u015fmesini d\u00f6nd\u00fcrebildik.<\/span><\/p>\n
 Not #2:<\/strong> get_close_matches()<\/strong> i\u015flevine ili\u015fkin t\u00fcm belgeleri burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\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
 Pandas DataFrames’\u0131 birden \u00e7ok s\u00fctunda birle\u015ftirme<\/a>
 Dizinde iki Pandas DataFrame nas\u0131l birle\u015ftirilir
 Pandalar\u0131n Birle\u015ftirilmesi veya Birle\u015ftirilmesi: Fark nedir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u00c7o\u011fu zaman, kusurlu \u015fekilde e\u015fle\u015fen dizelere dayal\u0131 olarak iki veri k\u00fcmesini pandalarda birle\u015ftirmek isteyebilirsiniz. Buna bulan\u0131k e\u015fle\u015ftirme denir. Pandalarda bulan\u0131k e\u015fle\u015ftirme yapman\u0131n en kolay yolu difflib paketindeki get_close_matches() i\u015flevini kullanmakt\u0131r. A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir. \u00d6rnek: pandalardaki bulan\u0131k yaz\u0131\u015fmalar Diyelim ki \u00e7e\u015fitli basketbol tak\u0131mlar\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki iki panda DataFrame’imiz var: […]<\/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-2914","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalarda Bulan\u0131k E\u015fle\u015ftirme Nas\u0131l Yap\u0131l\u0131r (\u00d6rnekle) - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde pandalarda bulan\u0131k e\u015fle\u015ftirmenin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi tam bir \u00f6rnekle birlikte a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/bulanik-eslesen-pandalar\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandalarda Bulan\u0131k E\u015fle\u015ftirme Nas\u0131l Yap\u0131l\u0131r (\u00d6rnekle) - 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