<\/p>\n
Aby przesun\u0105\u0107 elementy tablicy NumPy, mo\u017cesz u\u017cy\u0107 jednej z nast\u0119puj\u0105cych metod:<\/span><\/p>\n Metoda 1: Przesu\u0144 elementy (zachowaj wszystkie oryginalne elementy)<\/strong><\/span><\/p>\n Metoda 2: Przesu\u0144 elementy (pozw\u00f3l na wymian\u0119 element\u00f3w)<\/strong><\/span><\/p>\n Poni\u017csze przyk\u0142ady pokazuj\u0105, jak zastosowa\u0107 ka\u017cd\u0105 metod\u0119 w praktyce.<\/span><\/p>\n Poni\u017cszy kod pokazuje, jak u\u017cy\u0107 funkcji np.roll()<\/a> do przesuni\u0119cia ka\u017cdego elementu tablicy NumPy o dwie pozycje w prawo:<\/span><\/p>\n Nale\u017cy zauwa\u017cy\u0107, \u017ce ka\u017cdy element zosta\u0142 przesuni\u0119ty o dwie pozycje w prawo, a elementy na ko\u0144cu tablicy zosta\u0142y po prostu przesuni\u0119te do przodu.<\/span><\/p>\n Mo\u017cemy tak\u017ce u\u017cy\u0107 liczby ujemnej w funkcji np.roll()<\/strong> , aby przesun\u0105\u0107 elementy w lewo:<\/span><\/p>\n Mo\u017cemy tak\u017ce zdefiniowa\u0107 niestandardow\u0105 funkcj\u0119 przesuwania element\u00f3w tablicy NumPy i umo\u017cliwiania zamiany przesuni\u0119tych element\u00f3w na okre\u015blon\u0105 warto\u015b\u0107.<\/span><\/p>\n Na przyk\u0142ad mo\u017cemy zdefiniowa\u0107 nast\u0119puj\u0105c\u0105 funkcj\u0119, aby przesuwa\u0107 elementy i zast\u0119powa\u0107 wszystkie przesuni\u0119te elementy warto\u015bci\u0105 0:<\/span><\/p>\n Mo\u017cemy tak\u017ce u\u017cy\u0107 w funkcji liczby ujemnej, aby przesun\u0105\u0107 elementy w lewo:<\/span><\/p>\n Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe operacje w NumPy:<\/span><\/p>\n Jak policzy\u0107 wyst\u0105pienia element\u00f3w w NumPy<\/a> Aby przesun\u0105\u0107 elementy tablicy NumPy, mo\u017cesz u\u017cy\u0107 jednej z nast\u0119puj\u0105cych metod: Metoda 1: Przesu\u0144 elementy (zachowaj wszystkie oryginalne elementy) #shift each element two positions to the right data_new = np. roll (data, 2) Metoda 2: Przesu\u0144 elementy (pozw\u00f3l na wymian\u0119 element\u00f3w) #define shifting function def shift_elements (arr, num, fill_value): result = np. empty_like (arr) if […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2572","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"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 Metoda 1: Przesu\u0144 elementy (zachowaj wszystkie oryginalne elementy)<\/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 Metoda 2: Przesu\u0144 elementy (pozw\u00f3l na wymian\u0119 element\u00f3w)<\/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 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
Jak posortowa\u0107 tablic\u0119 NumPy wed\u0142ug kolumny<\/a>
Jak obliczy\u0107 tryb tablicy NumPy<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"