Python | Numpy MaskedArray.__divmod__

Python | Numpy MaskedArray.imod

Last Updated : 12 Apr, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__imod__ we can get every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in MaskedArray.__imod__() method.

Syntax: numpy.MaskedArray.__imod__(other)

Return: Return self%=value.

Example #1 :
In this example we can see that value that we have passed through MaskedArray.__imod__() method is used to perform the mod operation with every element of an array.

# import the important module in python  
import numpy as np  
      
# make an array with numpy  
gfg = np.ma.array([1, 2.5, 3, 7, 5])  
      
# applying MaskedArray.__imod__() method  
print(gfg.__imod__(2))  

Output:

[1.0 0.5 1.0 1.0 1.0]

Example #2:

# import the important module in python  
import numpy as np  
      
# make an array with numpy  
gfg = np.ma.array([[14, 22, 31, 47, 54],  
                [64, 53.5, 44, 36, 21]])  
      
# applying MaskedArray.__imod__() method  
print(gfg.__imod__(5))  

Output:

[[4.0 2.0 1.0 2.0 4.0]
 [4.0 3.5 4.0 1.0 1.0]]

Python | Numpy MaskedArray.__divmod__

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