{"id":976,"date":"2023-07-28T03:15:43","date_gmt":"2023-07-28T03:15:43","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-birden-fazla-sutunu-birlestirir\/"},"modified":"2023-07-28T03:15:43","modified_gmt":"2023-07-28T03:15:43","slug":"pandalar-birden-fazla-sutunu-birlestirir","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-birden-fazla-sutunu-birlestirir\/","title":{"rendered":"Pandas dataframes'\u0131 birden \u00e7ok s\u00fctunda birle\u015ftirme"},"content":{"rendered":"

<\/p>\n

\n

\u00c7o\u011funlukla iki panda DataFrame’i birden fazla s\u00fctunda birle\u015ftirmek isteyebilirsiniz. Neyse ki, a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan pandas merge()<\/a> i\u015flevini kullanarak bunu yapmak kolayd\u0131r:<\/span><\/p>\n

 p.d. merge<\/span> (df1, df2, left_on=['col1','col2'], right_on = ['col1','col2'])<\/strong><\/pre>\n
 Bu e\u011fitimde bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n
 \u00d6rnek 1: Farkl\u0131 adlara sahip birden \u00e7ok s\u00fctunu birle\u015ftirme<\/span><\/strong><\/h3>\n
 A\u015fa\u011f\u0131daki iki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create and view first DataFrame<\/span>\ndf1 = pd.DataFrame({'a1': [0, 0, 1, 1, 2],\n                   'b': [0, 0, 1, 1, 1],\n                   'c': [11, 8, 10, 6, 6]})\n\nprint<\/span> (df1)\n\n   a1 bc\n0 0 0 11\n1 0 0 8\n2 1 1 10\n3 1 1 6\n4 2 1 6\n\n#create and view second DataFrame<\/span> \ndf2 = pd.DataFrame({'a2': [0, 1, 1, 1, 3],\n                   'b': [0, 0, 0, 1, 1],\n                   'd': [22, 24, 25, 33, 37]})\n\nprint<\/span> (df2)\n\n   a2 comic\n0 0 0 22\n1 1 0 24\n2 1 0 25\n3 1 1 33\n4 3 1 37\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, her iki DataFrame’den birden \u00e7ok s\u00fctun kullanarak sol birle\u015ftirmenin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n
 p.d. merge<\/span> (df1, df2, how=' left<\/span> ', left_on=[' a1<\/span> ', ' b<\/span> '], right_on = [' a2<\/span> ', ' b<\/span> '])\n\n\n        a1 b c a2 d\n0 0 0 11 0.0 22.0\n1 0 0 8 0.0 22.0\n2 1 1 10 1.0 33.0\n3 1 1 6 1.0 33.0\n4 2 1 6 NaN NaN\n<\/strong><\/pre>\n
 \u00d6rnek 2: Ayn\u0131 adlara sahip birden \u00e7ok s\u00fctunu birle\u015ftirme<\/span><\/strong><\/h3>\n
 Ayn\u0131 s\u00fctun adlar\u0131na sahip a\u015fa\u011f\u0131daki iki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrames<\/span>\ndf1 = pd.DataFrame({'a': [0, 0, 1, 1, 2],\n                   'b': [0, 0, 1, 1, 1],\n                   'c': [11, 8, 10, 6, 6]})\n\ndf2 = pd.DataFrame({'a': [0, 1, 1, 1, 3],\n                   'b': [0, 0, 0, 1, 1],\n                   'd': [22, 24, 25, 33, 37]})\n<\/strong><\/pre>\n
 Bu durumda, s\u00fctun adlar\u0131 her iki DataFrame’de de ayn\u0131 oldu\u011fundan on = [‘a’, ‘b’]<\/strong> kullan\u0131m\u0131n\u0131 basitle\u015ftirebiliriz:<\/span><\/p>\n
 p.d. merge<\/span> (df1, df2, how=' left<\/span> ', on=[' a<\/span> ', ' b<\/span> '])\n\n\ta b c d\n0 0 0 11 22.0\n1 0 0 8 22.0\n2 1 1 10 33.0\n3 1 1 6 33.0\n4 2 1 6 NaN\n<\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Dizinde iki Pandas DataFrame nas\u0131l birle\u015ftirilir
 Birden fazla Pandas DataFrame’i nas\u0131l istifleyebilirim?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u00c7o\u011funlukla iki panda DataFrame’i birden fazla s\u00fctunda birle\u015ftirmek isteyebilirsiniz. Neyse ki, a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan pandas merge() i\u015flevini kullanarak bunu yapmak kolayd\u0131r: p.d. merge (df1, df2, left_on=[‘col1′,’col2’], right_on = [‘col1′,’col2′]) Bu e\u011fitimde bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. \u00d6rnek 1: Farkl\u0131 adlara sahip birden \u00e7ok s\u00fctunu birle\u015ftirme A\u015fa\u011f\u0131daki iki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m: import pandas […]<\/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-976","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandas DataFrames'i birden \u00e7ok s\u00fctunda birle\u015ftirme - Statoryaller<\/title>\n<meta name=\"description\" content=\"\u00d6rnekler de dahil olmak \u00fczere iki panda DataFrame'in birden fazla s\u00fctunda nas\u0131l birle\u015ftirilece\u011fine dair basit bir a\u00e7\u0131klama.\" \/>\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\/pandalar-birden-fazla-sutunu-birlestirir\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrames'i birden \u00e7ok s\u00fctunda birle\u015ftirme - 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