Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

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.

This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to 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.

My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!