<\/p>\n
Bir NumPy dizisinden NaN de\u011ferlerini kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: isnan()’\u0131 kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: isfinite() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Logic_not()’u kullan\u0131n<\/strong><\/span><\/p>\n Bu y\u00f6ntemlerin her biri ayn\u0131 sonucu verir, ancak ilk y\u00f6ntem girilmesi en k\u0131sa olan\u0131d\u0131r ve bu nedenle en s\u0131k kullan\u0131lma e\u011filimindedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, isnan()<\/strong> i\u015flevini kullanarak NaN de\u011ferlerinin bir NumPy dizisinden nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Her iki NaN de\u011ferinin de NumPy dizisinden ba\u015far\u0131yla kald\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bu y\u00f6ntem basit\u00e7e (~)NaN de\u011feri olmayan t\u00fcm dizi \u00f6\u011felerini tutar.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, isfinite()<\/strong> i\u015flevini kullanarak bir NumPy dizisinden NaN de\u011ferlerinin nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Her iki NaN de\u011ferinin de NumPy dizisinden ba\u015far\u0131yla kald\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bu y\u00f6ntem, sonlu de\u011ferler olan t\u00fcm dizi \u00f6\u011felerini basit\u00e7e tutar.<\/span><\/p>\n NaN de\u011ferleri sonlu olmad\u0131\u011f\u0131ndan tablodan \u00e7\u0131kar\u0131lm\u0131\u015ft\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, mant\u0131ksal_not()<\/strong> i\u015flevini kullanarak NaN de\u011ferlerinin bir NumPy dizisinden nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Her iki NaN de\u011ferinin de NumPy dizisinden ba\u015far\u0131yla kald\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bu y\u00f6ntem \u00f6nceki iki y\u00f6nteme e\u015fde\u011fer olsa da daha fazla yaz\u0131m gerektirir ve bu nedenle eskisi kadar s\u0131k kullan\u0131lmaz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: Bo\u015f dizeler NaN ile nas\u0131l de\u011fi\u015ftirilir?<\/a> Bir NumPy dizisinden NaN de\u011ferlerini kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: isnan()’\u0131 kullan\u0131n new_data = data[~np. isnan (data)] Y\u00f6ntem 2: isfinite() i\u015flevini kullan\u0131n new_data = data[np. isfinite (data)] Y\u00f6ntem 3: Logic_not()’u kullan\u0131n new_data = data[np. logical_not (np. isnan (data))] Bu y\u00f6ntemlerin her biri ayn\u0131 sonucu verir, ancak ilk y\u00f6ntem girilmesi en k\u0131sa olan\u0131d\u0131r ve […]<\/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-3198","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n new_data = data[~np. isnan<\/span> (data)]\n<\/span><\/span><\/strong><\/pre>\n new_data = data[np. isfinite<\/span> (data)]<\/strong><\/pre>\n new_data = data[np. logical_not<\/span> (np. isnan<\/span> (data))]\n<\/strong><\/pre>\n \u00d6rnek 1: isnan() kullanarak NaN de\u011ferlerini kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create array of data\n<\/span>data = np. array<\/span> ([4, np.nan, 6, np.nan, 10, 11, 14, 19, 22])\n\n#define new array of data with nan values removed\n<\/span>new_data = data[~np. isnan<\/span> (data)]\n\n#view new array\n<\/span>print<\/span> (new_data)\n\n[4. 6. 10. 11. 14. 19. 22.]\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: isfinite() kullanarak NaN de\u011ferlerini kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create array of data\n<\/span>data = np. array<\/span> ([4, np.nan, 6, np.nan, 10, 11, 14, 19, 22])\n\n#define new array of data with nan values removed\n<\/span>new_data = data[np. isfinite<\/span> (data)]\n\n#view new array\n<\/span>print<\/span> (new_data)\n\n[4. 6. 10. 11. 14. 19. 22.]\n<\/strong><\/span><\/pre>\n \u00d6rnek 3: Logic_not() kullanarak NaN de\u011ferlerini kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create array of data\n<\/span>data = np. array<\/span> ([4, np.nan, 6, np.nan, 10, 11, 14, 19, 22])\n\n#define new array of data with nan values removed\n<\/span>new_data = data[np. logical_not<\/span> (np. isnan<\/span> (data))]\n#view new array\n<\/span>print<\/span> (new_data)\n\n[4. 6. 10. 11. 14. 19. 22.]\n<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar: NaN de\u011ferlerinin bir dizeyle de\u011fi\u015ftirilmesi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"