<\/p>\n
NumPy dizisinin \u00f6\u011felerini dengelemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: \u00d6\u011feleri kayd\u0131r\u0131n (t\u00fcm orijinal \u00f6\u011feleri koruyun)<\/strong><\/span><\/p>\n Y\u00f6ntem 2: \u00d6\u011feleri kayd\u0131rma (\u00f6\u011felerin de\u011fi\u015ftirilmesine izin ver)<\/strong><\/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, bir NumPy dizisinin her \u00f6\u011fesini iki konum sa\u011fa kayd\u0131rmak i\u00e7in np.roll()<\/a> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Her \u00f6\u011fenin iki konum sa\u011fa kayd\u0131r\u0131ld\u0131\u011f\u0131n\u0131 ve dizinin sonundaki \u00f6\u011felerin basit\u00e7e ileri ta\u015f\u0131nd\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n \u00d6\u011feleri sola kayd\u0131rmak i\u00e7in np.roll()<\/strong> i\u015flevinde negatif bir say\u0131 da kullanabiliriz:<\/span><\/p>\n Ayr\u0131ca bir NumPy dizisinin \u00f6\u011felerini kayd\u0131rmak ve kayd\u0131r\u0131lan \u00f6\u011felerin belirli bir de\u011ferle de\u011fi\u015ftirilmesine izin vermek i\u00e7in \u00f6zel bir i\u015flev de tan\u0131mlayabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, elemanlar\u0131 kayd\u0131rmak ve kayd\u0131r\u0131lan t\u00fcm elemanlar\u0131 0 de\u011feriyle de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki fonksiyonu tan\u0131mlayabiliriz:<\/span><\/p>\n \u00d6\u011feleri sola kayd\u0131rmak i\u00e7in fonksiyonda negatif bir say\u0131 da kullanabiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler NumPy’de di\u011fer genel i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n NumPy’de eleman olu\u015fumlar\u0131 nas\u0131l say\u0131l\u0131r?<\/a> NumPy dizisinin \u00f6\u011felerini dengelemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz: Y\u00f6ntem 1: \u00d6\u011feleri kayd\u0131r\u0131n (t\u00fcm orijinal \u00f6\u011feleri koruyun) #shift each element two positions to the right data_new = np. roll (data, 2) Y\u00f6ntem 2: \u00d6\u011feleri kayd\u0131rma (\u00f6\u011felerin de\u011fi\u015ftirilmesine izin ver) #define shifting function def shift_elements (arr, num, fill_value): result = np. empty_like (arr) if num > […]<\/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-2574","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #shift each element two positions to the right<\/span>\ndata_new = np. roll<\/span> (data, 2)\n<\/strong><\/pre>\n #define shifting function<\/span>\ndef<\/span> shift_elements<\/span> (arr, num, fill_value):\n result = np. empty_like<\/span> (arr)\n if<\/span> num > 0:\n result[:num] = fill_value\n result[num:] = arr[:-num]\n elif<\/span> num < 0:\n result[num:] = fill_value\n result[:num] = arr[-num:]\n else<\/span> :\n result[:] = arr\n return<\/span> result\n\n#shift each element two positions to the right (replace shifted elements with zero)\n<\/span>data_new = shift_elements(data, 2, 0)\n<\/strong><\/span><\/pre>\n Y\u00f6ntem 1: \u00d6\u011feleri kayd\u0131r\u0131n (t\u00fcm orijinal \u00f6\u011feleri koruyun)<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>data = np. array<\/span> ([1, 2, 3, 4, 5, 6])\n\n#shift each element two positions to the right\n<\/span>data_new = np. roll<\/span> (data, 2)\n\n#view new NumPy array\n<\/span>data_new\n\narray([5, 6, 1, 2, 3, 4])\n<\/strong><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>data = np. array<\/span> ([1, 2, 3, 4, 5, 6])\n\n#shift each element three positions to the left\n<\/span>data_new = np. roll<\/span> (data, -3)\n\n#view new NumPy array\n<\/span>data_new\n\narray([4, 5, 6, 1, 2, 3])<\/strong><\/pre>\n Y\u00f6ntem 2: \u00d6\u011feleri kayd\u0131rma (\u00f6\u011felerin de\u011fi\u015ftirilmesine izin ver)<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>data = np. array<\/span> ([1, 2, 3, 4, 5, 6])\n\n#define custom function to shift elements\n<\/span>def<\/span> shift_elements<\/span> (arr, num, fill_value):\n result = np. empty_like<\/span> (arr)\n if<\/span> num > 0:\n result[:num] = fill_value\n result[num:] = arr[:-num]\n elif<\/span> num < 0:\n result[num:] = fill_value\n result[:num] = arr[-num:]\n else<\/span> :\n result[:] = arr\n return<\/span> result\n\n#shift each element two positions to the right and replace shifted values with zero\n<\/span>data_new = shift_elements(data, 2, 0)\n\n#view new NumPy array\n<\/span>data_new\n\narray([0, 0, 1, 2, 3, 4])<\/strong><\/span><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>data = np. array<\/span> ([1, 2, 3, 4, 5, 6])\n\n#define custom function to shift elements\n<\/span>def<\/span> shift_elements<\/span> (arr, num, fill_value):\n result = np. empty_like<\/span> (arr)\n if<\/span> num > 0:\n result[:num] = fill_value\n result[num:] = arr[:-num]\n elif<\/span> num < 0:\n result[num:] = fill_value\n result[:num] = arr[-num:]\n else<\/span> :\n result[:] = arr\n return<\/span> result\n\n#shift each element three positions to the left and replace shifted values with 50\n<\/span>data_new = shift_elements(data, -3, 50)\n\n#view new NumPy array\n<\/span>data_new\n\narray([ 4, 5, 6, 50, 50, 50])<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
NumPy dizisini s\u00fctuna g\u00f6re s\u0131ralama<\/a>
NumPy dizisinin modu nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"