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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 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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