#     
## Overview
The **`numpy.empty_like()`** function in Python is  used to return a new array with the same shape and data type as the one passed to it.

> Note: The `numpy.empty_like()` function does not initialize the returned array.

## Syntax
```python
numpy.empty(array_like)
```
## Parameter value

This function takes the shape and data type of the prototype. It defines or overrides the attributes of the returned array.

## Return value
The `numpy.empty_like()` function returns an array of uninitialized data with the same shape and type as the prototypes passed to it.

## Example





import numpy as np

# creating a prototype or array_like objec
myarray = ([1,2,3], [4,5,6])  

# using the numpy.empty() function 
newarray = np.empty_like(myarray)

print(newarray)

## Explanation
* Line 1: We import the `numpy` module.
* Line 4: We create an array-like variable or prototype `myarray`.
* Line 7: We implement the `numpy.empty()` function on the variable `myarray` and the result is assigned to another variable `newarray`.
* Line 9: We print the variable `newarray`.

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

It returns a new, uninitialized array with the same shape and type as the input array.