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 ))
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[-4. -3. -2. -0.3 0.2]
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 ))
|
[[-4 -3 -2 -1 0] [ 1 0 -1 -2 -3]]