numpy.empty_like () in Python

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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

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Xu Sikorski

San Francisco | 2022-11-30

Maybe there are another answers? What numpy.empty_like () in Python exactly means?. I am just not quite sure it is the best method

Angelo Danburry

Boston | 2022-11-30

I was preparing for my coding interview, thanks for clarifying this - numpy.empty_like () in Python in Python is not the simplest one. I am just not quite sure it is the best method

Frank Ungerschaft

Rome | 2022-11-30

NumPy is always a bit confusing 😭 numpy.empty_like () in Python is not the only problem I encountered. I just hope that will not emerge anymore

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