#        
## Overview
The **`numpy.zeros_like()` function** in Python is  used to return an array of zeros (`0`) with the same shape and data type as the array passed to it.

## Syntax
```
numpy.zeros_like(a, dtype=None, order='K', subok=True, shape=None)
```
## Parameters
The `numpy.zeros_like()`  function takes the following parameter values:
* **`a`**: This represents the `array_like` object.
* **`dtype`**: This represents the desired data type of the array. This is optional.
* **`order`**: This overrides the memory layout of the result. It can take any of `C`, `F`, `A`, or `K` orders. This is optional.
* **`subok`**: This takes a boolean value. If  the value passed is `True`, then the newly created array will make use of the subclass type of the `array_like` object. Otherwise, it will make use of the base-class array. The default value is `True`. This is optional.
* **`shape`**: This represents integers or sequence of integers that helps override the shape of the output array.

## Return value
The `numpy.zeros_like()` function returns an array of zeros (`0`) with the same shape and type as the `array_like` object passed to it.

## Example



import numpy as np

# creating an array_like 
thisarray = np.arange(5, dtype = int)

# implementing the numpy.zerps_like() function 
myarray = np.zeros_like(thisarray, dtype=int, order='C', subok=True, shape=(2,3))


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


If we just pass an `array_like` object to the function like we do below, then `newArr` will get an array of size `5` with each element being zero (`0`).
```python3
import numpy as np

# creating an array_like 
thisarray = np.arange(5, dtype = int)
newArr = np.zeros_like(thisarray, shape = None)
```




## Explanation
* Line 1: We import the `numpy` module.
* Line 4: We create an array prototype with `5` elements using the `numpy.arange()` method. The output is assigned to a variable `thisarray`.
* Line 7: We implement the `numpy.zero_like()` function on `thisarray` 
 to create an array with the `int` data type, `C` order, `True` value for `subok` and a shape of `2` arrays with `3` elements each. The result is assigned to another variable `myarray`.

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


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

Returns an array of zeros matching the shape and data type of a given array.