numpy.empty_like() in Python
Last Updated :
29 Nov, 2018
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
# 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.