Python NumPy ones_like() Function Example

Python NumPy ones_like() is an inbuilt function that contains four parameters and is used to return an array of the similar shape and size with values of elements of array replaced with ones.

Python NumPy ones_like() is an inbuilt function that contains four parameters and is used to return an array of the similar shape and size with values of elements of array replaced with ones. It is defined under numpy, which can be imported as import numpy as np, and we can create multidimensional arrays and derive other mathematical statistics with the help of numpy, which is a library in Python.

Python NumPy ones_like()

Python numpy.ones_likes() returns the array of ones with the same shape and type as the given array. The shape and data-type of the define these same attributes of the returned array.

Syntax

numpy.ones_like(array,dtype,order,subok) 

python numpy

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