numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__isub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__isub__() method. Value will be subtracted to each and every element in a numpy array.
Syntax: numpy.MaskedArray.__isub__(other)
Return: Subtract other to self in-place.
Example #1 :
In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method MaskedArray.__isub__(). Remember one thing it wouldn’t work for double type values.
# import the important module in python import numpy as np   # make an array with numpy gfg = np.ma.array([1, 2, 3, 4.7, 5.2])   # applying MaskedArray.__isub__() method print(gfg.__isub__(5)) |
Output:
[-4. -3. -2. -0.3 0.2]
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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([[1, 2, 3, 4, 5],                 [6, 5, 4, 3, 2]])   # applying MaskedArray.__isub__() method print(gfg.__isub__(5)) |
Output:
[[-4 -3 -2 -1 0] [ 1 0 -1 -2 -3]]
