numpy.empty_like() in Python (original) (raw)

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.

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.

Similar Reads