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]
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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]]
