numpy.empty_like(a, dtype = None, order = ‘K’, subok = True) : Return a new array with the same shape and type as a given array.
Parameters :
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
Return :
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)) |
Output :
Matrix a : [ 16843008 1058682594] Matrix c : [[0 0 0] [0 0 0]]
Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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