#    
## Overview
The **`ma.masked_all_like()` function** in Python empties a masked array with the properties of an existing array.

## Syntax
```
ma.masked_all_like(arr)
```
## Parameter 
The `ma.masked_all_like()` function takes the parameter value `arr`, which represents an input array with the same shape and data type as the required MaskedArray.
## Return type
The `ma.masked_all_like()` function returns a masked array where all the data are masked.
## Example


import numpy as np
import numpy.ma as ma

# creating an array
myarray = np.array([[1,2,3], [4,5,6]])

# implementing the ma.masked_all_like() function 
newarray = ma.masked_all_like(myarray)

# printing the old array
print(myarray)

# printing the masked array
print(newarray)

## Explanation
* Line 1 and 2: We import the required modules.
* Line 5: We create an input array, `myarray`, using the `array()` function.
* Line 8: We implement the `ma.masked_all_like()` function on the input array. The result is assigned to a variable, `newarray`. 
* Line 11: We print the input array, `myarray`.
* Line 14: We print the masked array `newarray`.

What is the numpy.ma.masked_all_like() function in Python?

Creates a masked array with all elements masked, matching the shape and type of the input array.