numpy.empty_like(a, dtype = None, order = ‘K’, subok = True) : Return a new array with the same shape and type as a given array.
shape : Number of rows order : C_contiguous or F_contiguous dtype : [optional, float(by Default)] Data type of returned array. subok : [bool, optional] to make subclass of a or not
array with the same shape and type as a given array.
# Python Program illustrating # numpy.empty_like method import numpy as geek a = geek.empty_like([2, 2], dtype = int) print("\nMatrix a : \n", a) c = a = ([1,2,3], [4,5,6]) print("\nMatrix c : \n", geek.empty_like(c))
Matrix a : [ 16843008 1058682594] Matrix c : [[0 0 0] [0 0 0]]
These codes won’t run on online-ID. Please run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.