What is the numpy.ones_like() function in Python?

Overview

In Python, the numpy.ones_like() function is used to return an array of ones, 1, with the same shape as a given array.

Syntax

numpy.ones_like(a, dtype=None, order='K')

Parameter value

The numpy.ones_like() function takes the following parameter values:

  • a: This represents the array_like object or the prototype.
  • dtype: This represents the data type of the result. This parameter is optional.
  • order: This represents the type of order of the memory layout of the result. This is an optional parameter.

Return value

The numpy.ones_like() function returns an array of ones, 1, with the same shape and types as the array_like that is passed to it.

Code example

import numpy as np



# creating an array_like 

thisarray = np.arange(4, dtype = int)



# implementing the numpy.ones_like() function 

myarray = np.ones_like(thisarray)





# printing the two arrays

print(thisarray)

print(myarray)
Implementing the numpy.ones_like() function

Code explanation

  • Line 1: We import the numpy module.

  • Line 4: We create an array prototype, using the numpy.arange() method. We assign the output to a variable called thisarray.

  • Line 7: We implement the numpy.ones_like() function on thisarray and assign the result to another variable called myarray.

  • Lines 11–12: We print both the prototype thisarray and the modified array myarray.

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