{"id":1234,"date":"2023-07-27T04:53:06","date_gmt":"2023-07-27T04:53:06","guid":{"rendered":"https:\/\/statorials.org\/tr\/dusme-endeksi-pandalari\/"},"modified":"2023-07-27T04:53:06","modified_gmt":"2023-07-27T04:53:06","slug":"dusme-endeksi-pandalari","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/dusme-endeksi-pandalari\/","title":{"rendered":"Pandalarda dizin s\u00fctunu nas\u0131l kald\u0131r\u0131l\u0131r (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

Bazen Python’daki pandas DataFrame’den indeks s\u00fctununu kald\u0131rmak isteyebilirsiniz.<\/span><\/p>\n

Pandalar DataFrames ve Series’in her zaman bir dizini oldu\u011fundan, asl\u0131nda dizini b\u0131rakamazs\u0131n\u0131z<\/em> ancak a\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanarak s\u0131f\u0131rlayabilirsiniz:<\/span><\/p>\n

 df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n<\/strong><\/pre>\n
 \u00d6rne\u011fin, bir harf indeksine sahip a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],\n                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#set index of DataFrame to be random letters\n<\/span>df = df. set_index<\/span> ([pd. Index<\/span> (['a', 'b', 'd', 'g', 'h', 'm', 'n', 'z'])])\n\n#display DataFrame\n<\/span>df\n\n        points assists rebounds\na 25 5 11\nb 12 7 8\nd 15 7 10\ng 14 9 6\nh 19 12 6\nm 23 9 5\nn 25 9 9\nz 29 4 12\n<\/strong><\/pre>\n
 Dizini s\u0131ral\u0131 bir say\u0131 listesi olacak \u015fekilde s\u0131f\u0131rlamak i\u00e7in reset_index()<\/a> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 #reset indexes\n<\/span>df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n\n#display DataFrame<\/span>\ndf\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n
 Dizinin art\u0131k 0’dan 7’ye kadar say\u0131lar\u0131n bir listesi oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Daha \u00f6nce de belirtti\u011fimiz gibi indeks asl\u0131nda bir s\u00fctun de\u011fildir. Yani, Shape<\/strong> komutunu kulland\u0131\u011f\u0131m\u0131zda DataFrame’in 8 sat\u0131r ve 3 s\u00fctuna (4 s\u00fctun yerine) sahip oldu\u011funu g\u00f6r\u00fcyoruz:<\/span><\/p>\n
 #find number of rows and columns in DataFrame\n<\/span>df. shape\n\n(8, 3)\n<\/span><\/span><\/strong><\/pre>\n
 Bonus: i\u00e7e ve d\u0131\u015fa aktar\u0131rken dizini kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
 Genellikle bir pandan\u0131n DataFrame dizinini bir CSV dosyas\u0131ndan okuduktan sonra s\u0131f\u0131rlamak isteyebilirsiniz. A\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanarak dizini i\u00e7e aktar\u0131rken<\/em> h\u0131zla s\u0131f\u0131rlayabilirsiniz:<\/span><\/p>\n
 df = pd. read_csv<\/span> ('data.csv', index_col= False<\/span> )<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanarak, d\u0131\u015fa aktarma s\u0131ras\u0131nda bir dizin s\u00fctununun CSV dosyas\u0131na yaz\u0131lmamas\u0131n\u0131 sa\u011flayabilirsiniz:<\/span><\/p>\n
 df. to_csv<\/span> ('data.csv', index= False<\/span> )<\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Pandalarda s\u00fctunu indeks olarak nas\u0131l ayarlayabilirim?<\/a>
 Pandalar’da NaN de\u011ferlerine sahip sat\u0131rlar nas\u0131l silinir<\/a>
 Pandas DataFrame’deki de\u011ferler nas\u0131l s\u0131ralan\u0131r<\/p>\n","protected":false},"excerpt":{"rendered":"
Bazen Python’daki pandas DataFrame’den indeks s\u00fctununu kald\u0131rmak isteyebilirsiniz. Pandalar DataFrames ve Series’in her zaman bir dizini oldu\u011fundan, asl\u0131nda dizini b\u0131rakamazs\u0131n\u0131z ancak a\u015fa\u011f\u0131daki kod par\u00e7as\u0131n\u0131 kullanarak s\u0131f\u0131rlayabilirsiniz: df. reset_index (drop= True , place= True ) \u00d6rne\u011fin, bir harf indeksine sahip a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m: import pandas as pd #createDataFrame df = pd.DataFrame({‘points’: [25, 12, […]<\/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-1234","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalarda Dizin S\u00fctunu Nas\u0131l Kald\u0131r\u0131l\u0131r (\u00d6rneklerle)<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, indeks s\u00fctununun bir pandas DataFrame'den 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