#    
## Overview
Python's **`ma.getmask()` function** returns the mask of a masked array (i.e, the `nomask`).
## Syntax
```
ma.getmask(a)
```
## Parameter value
The `ma.getmask()` function takes the `a` value as a parameter. This represents an input MaskedArray for which the mask is required.
## Return value
The `ma.getmask()` function returns an array of Boolean values indicating which input array elements are `nomask` or `mask`. It returns `True` if the element is `mask` and `False` if the element is `nomask`.
## Example


import numpy as np
import numpy.ma as ma

# creating a MaskedArray with the element 3 as the mask
myarray = ma.masked_equal([[1,2],[3,4]], 3)

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

print(newarray)

## Explanation
* Line 1-2: We import the required module and library.
* Line 5: We create a MaskedArray، `myarray`، which has its element `3` as the `mask`.
* Line 8: We implement the `ma.getmask()` function on the input MaskedArray. The result is assigned to a variable `newarray`. 
* Line 10: We print the variable، `newarray`.

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

Returns Boolean mask array indicating masked elements (True) and non-masked elements (False).