{"id":912,"date":"2023-07-28T08:26:31","date_gmt":"2023-07-28T08:26:31","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalarin-veri-cercevesine-bos-sutun-ekle\/"},"modified":"2023-07-28T08:26:31","modified_gmt":"2023-07-28T08:26:31","slug":"pandalarin-veri-cercevesine-bos-sutun-ekle","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalarin-veri-cercevesine-bos-sutun-ekle\/","title":{"rendered":"Pandas dataframe'e bo\u015f bir s\u00fctun nas\u0131l eklenir"},"content":{"rendered":"

<\/p>\n

\n

Bazen pandalar\u0131n DataFrame’ine bo\u015f bir s\u00fctun eklemek isteyebilirsiniz.<\/span><\/p>\n

Neyse ki bunu yapmak olduk\u00e7a basit ve bu e\u011fitimde a\u015fa\u011f\u0131daki pandalar DataFrame kullan\u0131larak bunun nas\u0131l yap\u0131laca\u011f\u0131na dair birka\u00e7 \u00f6rnek g\u00f6steriliyor:<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]})\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n<\/strong><\/pre>\n
 \u00d6rnek 1: \u201c \u201d kullanarak bo\u015f bir s\u00fctun ekleyin<\/strong><\/span><\/h3>\n
 Bo\u015f bir s\u00fctun eklemenin ilk yolu \u015funu kullanmakt\u0131r:  <\/strong> al\u0131nt\u0131lar \u015fu \u015fekilde:<\/span><\/p>\n
 #add new column titled 'steals'<\/span> \ndf['steals'] = \"\"\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds steals\n0 25 5 11\t\n1 12 7 8\t\n2 15 7 10\t\n3 14 9 6\t\n4 19 12 6\t\n<\/strong><\/pre>\n
 \u00d6rnek 2: Numpy Kullanarak Bo\u015f Bir S\u00fctun Ekleme<\/strong><\/span><\/h3>\n
 Bo\u015f bir s\u00fctun eklemenin ba\u015fka bir yolu da np.nan’\u0131<\/strong> a\u015fa\u011f\u0131daki gibi kullanmakt\u0131r:<\/span><\/p>\n
 #add new column titled 'steals'<\/span>\ndf['steals'] = np.nan\n\n#view DataFrame\n<\/span>df\n\n        points assists rebounds steals\n0 25 5 11 NaN\n1 12 7 8 NaN\n2 15 7 10 NaN\n3 14 9 6 NaN\n4 19 12 6 NaN\n<\/strong><\/pre>\n
 \u00d6rnek 3: Pandas Serisini Kullanarak Bo\u015f S\u00fctun Ekleme<\/strong><\/span><\/h3>\n
 Bo\u015f bir s\u00fctun eklemenin ba\u015fka bir yolu da pd.Series() i\u015flevini<\/strong> a\u015fa\u011f\u0131daki gibi kullanmakt\u0131r:<\/span><\/p>\n
 #add new column titled 'steals'<\/span>\ndf['steals'] = pd.Series()\n\n#view DataFrame\n<\/span>df\n\n        points assists rebounds steals\n0 25 5 11 NaN\n1 12 7 8 NaN\n2 15 7 10 NaN\n3 14 9 6 NaN\n4 19 12 6 NaN<\/strong><\/pre>\n
 \u00d6rnek 4: Pandas Insert’\u00fc Kullanarak Bo\u015f Bir S\u00fctun Ekleme<\/strong><\/span><\/h3>\n
 Bo\u015f bir s\u00fctun eklemenin ba\u015fka bir yolu da insert()<\/strong> i\u015flevini a\u015fa\u011f\u0131daki gibi kullanmakt\u0131r:<\/span><\/p>\n
 #createDataFrame\ndf = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]})<\/span>\n\n#insert empty column titled 'steals' into index position 2<\/span>\ndf.insert(2, \"steals\", np.nan)\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists steals rebounds\n0 25 5 NaN 11\n1 12 7 NaN 8\n2 15 7 NaN 10\n3 14 9 NaN 6\n4 19 12 NaN 6<\/strong><\/pre>\n
 Bu yakla\u015f\u0131m\u0131n avantaj\u0131, bo\u015f s\u00fctunu DataFrame’de istedi\u011finiz herhangi bir konuma yerle\u015ftirebilmenizdir.<\/span><\/p>\n
 \u00d6rnek 5: Ayn\u0131 anda birden fazla bo\u015f s\u00fctun ekleme<\/strong><\/span><\/h3>\n
 Ayn\u0131 anda birden fazla bo\u015f s\u00fctun eklemek i\u00e7in reindex()<\/strong> i\u015flevini a\u015fa\u011f\u0131daki gibi kullanabilirsiniz:<\/span><\/p>\n
 #createDataFrame\n<\/span>df = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]})<\/span>\n\n#add empty columns titled 'empty1' and 'empty2'<\/span>\ndf = df. reindex<\/span> (columns = df.columns.tolist<\/span> () + ['empty1', 'empty2'])<\/span>\n\n#view DataFrame\n<\/span>df\n\n<\/span>points assists rebounds<\/span> empty1 empty2\n0 25 5 11<\/span> NaN NaN\n1 12 7 8<\/span> NaN NaN\n2 15 7 10<\/span> NaN NaN\n3 14 9 6<\/span> NaN NaN\n4 19 12 6<\/span> NaN NaN<\/span>\n<\/span><\/strong><\/pre>\n
 Daha fazla Python e\u011fitimini burada bulabilirsiniz.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
Bazen pandalar\u0131n DataFrame’ine bo\u015f bir s\u00fctun eklemek isteyebilirsiniz. Neyse ki bunu yapmak olduk\u00e7a basit ve bu e\u011fitimde a\u015fa\u011f\u0131daki pandalar DataFrame kullan\u0131larak bunun nas\u0131l yap\u0131laca\u011f\u0131na dair birka\u00e7 \u00f6rnek g\u00f6steriliyor: import numpy as np import pandas as pd #createDataFrame df = pd.DataFrame({‘points’: [25, 12, 15, 14, 19], ‘assists’: [5, 7, 7, 9, 12], ‘rebounds’: [11, 8, 10, […]<\/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-912","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nDataFrame Pandas'a bo\u015f bir s\u00fctun nas\u0131l eklenir?<\/title>\n<meta name=\"description\" content=\"Bir pandan\u0131n DataFrame'ine nas\u0131l bo\u015f bir s\u00fctun eklenece\u011fine dair basit bir a\u00e7\u0131klama.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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