1. Python
  2. numpy.empty_like () in Python

numpy.empty_like () in Python



numpy.empty_like (a, dtype = None, order = & # 39; K & # 39 ;, subok = True): return a new array with the same shape and type as this one 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 ( " Matrix a: " , a)

  

c = a = ([ 1 , 2 , 3 ], [ 4 , 5 , 6 ])

print ( "Matrix c:" , geek.empty_like (c))

Output: 

 Matrix a : [16843008 1058682594] Matrix c: [[0 0 0] [0 0 0]]

Notes:
These codes will not work for online IDs. Please run them on your systems to see how they work.

This article is courtesy of Mohit Gupta_OMG