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Explain numpy.empty_like() in Python

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numpy.empty_like() in Python

The empty_like() method of Python numpy class returns a new array with the same shape and type as the specified array.

Syntax

numpy.empty_like(prototype, dtype=None, order='K', subok=True)

Parameters

The numpy. empty_like() method consists of four parameters, which are as follows:

prototype : The shape and data-type of prototype define  the attributes of the returned array.

order : The order parameter can be either C_contiguous or F_contiguous

dtype : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.

subok : It is an optional Boolean argument that is used to make a subclass of type ‘a’ or not. By default, it is true.

Return Value

The numpy.empty_like() method returns an array with the same shape and type as the given array.

Example 1

# Python Programming giving an example for

# numpy. empty_like() method

import numpy as numpy

obj = numpy.empty_like([2, 2], dtype = int)

print("\nMatrix obj : \n", obj)

obj1 = obj = ([1,2,3], [4,5,6])

print("\nMatrix obj1 : \n", numpy.empty_like(obj1))

Output

Matrix obj :

[140332201097160        31509568]

Matrix obj1 :

[[140332201097144 140332201097144               0]
 

[             33        28688496 140332201097160]]

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