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## Overview
In Python, the **`numpy.full_like()` function** is used to return an entire array with the same shape and type as the array that was passed to it.

## Syntax


## Parameter value
The `numpy.full_like()` function takes the following parameter values:
* **`a`**: This represents the `array_like` object or prototype of the array that needs to be created.
* **`fill_value`**: This represents the fill value.

## Return value
The `numpy.full_like()` function returns an array of `fill_value`, with the same shape and data type as the `array_like` parameter 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.full_like(thisarray, 10)


# printing the two arrays
print(thisarray)
print(myarray)

## 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.full_like()` function on `thisarray` by changing the elements of `thisarray` to the fill value of `10`. We assign the  output to another variable called `myarray`

* **Lines 11–12**: We print both the prototypes `thisarray` and the modified array `myarray`.


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

Overview

Syntax

Parameter value

Return value

Code example

Code explanation