numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ior__we can get the elements that is OR by the value that is provided as a parameter in the MaskedArray.__ior__() method. 
Syntax: numpy.MaskedArray.__ior__($self, value, /)
Return: Return self|=value.
Example #1 :
In this example we can see that every element is OR by the value that is passed as a parameter in MaskedArray.__ior__() method.
| # import the important module in python  importnumpy as np       Â# make an array with numpy  gfg =np.ma.array([1, 2, 3, 4, 5])       Â# applying MaskedArray.__ior__() method  print(gfg.__ior__(2))    | 
[3 2 3 6 7]
 
Example #2: 
| # import the important module in python  importnumpy as np       Â# make an array with numpy  gfg =np.ma.array([[1, 2, 3, 4, 5],                  [6, 5, 4, 3, 2]])       Â# applying MaskedArray.__ior__() method  print(gfg.__ior__(1))   | 
[[1 3 3 5 5] [7 5 5 3 3]]

 
                                    







