{"id":1604,"date":"2023-07-25T16:51:45","date_gmt":"2023-07-25T16:51:45","guid":{"rendered":"https:\/\/statorials.org\/tr\/iki-sutun-arasindaki-pandalar-farki\/"},"modified":"2023-07-25T16:51:45","modified_gmt":"2023-07-25T16:51:45","slug":"iki-sutun-arasindaki-pandalar-farki","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/iki-sutun-arasindaki-pandalar-farki\/","title":{"rendered":"Pandalar: iki s\u00fctun aras\u0131ndaki fark nas\u0131l bulunur?"},"content":{"rendered":"

<\/p>\n

\n

Bir panda DataFrame’indeki iki s\u00fctun aras\u0131ndaki fark\u0131 bulmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 df[' difference<\/span> '] = df[' column1<\/span> '] - df[' column2<\/span> ']\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n
 \u00d6rnek 1: \u0130ki s\u00fctun aras\u0131ndaki fark\u0131 bulun<\/strong><\/span><\/h3>\n
 Ard\u0131\u015f\u0131k sekiz sat\u0131\u015f d\u00f6nemi i\u00e7in iki b\u00f6lge (A ve B) i\u00e7in toplam sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' period<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8],\n                   ' A_sales<\/span> ': [12, 14, 15, 13, 18, 20, 19, 24],\n                   ' B_sales<\/span> ': [14, 19, 20, 22, 24, 20, 17, 23]})\n\n#view DataFrame\n<\/span>df\n\nperiod A_sales B_sales\n0 1 12 14\n1 2 14 19\n2 3 15 20\n3 4 13 22\n4 5 18 24\n5 6 20 20\n6 7 19 17\n7 8 24 23<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, her sat\u0131\u015f d\u00f6nemi i\u00e7in B B\u00f6lgesi ve A B\u00f6lgesi sat\u0131\u015flar\u0131 aras\u0131ndaki fark\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 #add new column to represent difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = df[' B_sales<\/span> '] - df[' A_sales<\/span> ']\n\n#view DataFrame\n<\/span>df\n\n        period A_sales B_sales diff\n0 1 12 14 2\n1 2 14 19 5\n2 3 15 20 5\n3 4 13 22 9\n4 5 18 24 6\n5 6 20 20 0\n6 7 19 17 -2\n7 8 24 23 -1\n<\/strong><\/pre>\n
 Sat\u0131\u015flardaki mutlak fark\u0131 da pandas.Series.abs()<\/strong> i\u015flevini kullanarak hesaplayabiliriz:<\/span><\/p>\n
 #add new column to represent absolute difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = pd. Series<\/span> . abs<\/span> (df[' B_sales<\/span> '] - df[' A_sales<\/span> '])\n\n#view DataFrame\n<\/span>df\n\n\tperiod A_sales B_sales diff\n0 1 12 14 2\n1 2 14 19 5\n2 3 15 20 5\n3 4 13 22 9\n4 5 18 24 6\n5 6 20 20 0\n6 7 19 17 2\n7 8 24 23 1\n<\/strong><\/pre>\n
 \u00d6rnek 2: Ko\u015fula g\u00f6re s\u00fctunlar aras\u0131ndaki fark\u0131 bulun<\/strong><\/span><\/h3>\n
 Ayr\u0131ca DataFrame’i yaln\u0131zca s\u00fctunlar aras\u0131ndaki fark\u0131n belirli bir de\u011ferden az veya fazla oldu\u011fu sat\u0131rlar\u0131 g\u00f6sterecek \u015fekilde filtreleyebiliriz.<\/span><\/p>\n
 \u00d6rne\u011fin, a\u015fa\u011f\u0131daki kod yaln\u0131zca A b\u00f6lgesindeki sat\u0131\u015flar\u0131n B b\u00f6lgesindeki sat\u0131\u015flardan b\u00fcy\u00fck<\/strong> oldu\u011fu sat\u0131rlar\u0131 d\u00f6nd\u00fcr\u00fcr:<\/span><\/p>\n
 #add new column to represent difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = df[' B_sales<\/span> '] - df[' A_sales<\/span> ']\n\n#display rows where sales in region A is greater than sales in region B\ndf[df[' diff<\/span> ']< 0<\/span> ]\n\n\n        period A_sales B_sales diff\n6 7 19 17 -2\n7 8 24 23 -1\n<\/span><\/span><\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Pandalar: \u0130ki \u00e7izgi aras\u0131ndaki fark nas\u0131l bulunur?<\/a>
 Pandalar: birden \u00e7ok s\u00fctunda nas\u0131l grupland\u0131r\u0131l\u0131r ve toplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Bir panda DataFrame’indeki iki s\u00fctun aras\u0131ndaki fark\u0131 bulmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df[‘ difference ‘] = df[‘ column1 ‘] – df[‘ column2 ‘] A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: \u0130ki s\u00fctun aras\u0131ndaki fark\u0131 bulun Ard\u0131\u015f\u0131k sekiz sat\u0131\u015f d\u00f6nemi i\u00e7in iki b\u00f6lge (A ve B) i\u00e7in toplam sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki panda DataFrame’e […]<\/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-1604","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalar: iki s\u00fctun aras\u0131ndaki fark nas\u0131l 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