numpy.ma.MaskedArray class
is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__sub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__sub__() method. Value will be subtracted from each and every element in a numpy array.
Syntax: numpy.MaskedArray.__sub__
Return: Subtract others from self, and return a new masked array.
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.__sub__(). 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([ 11 , 22 , 23 , 24 , 25 ])
# applying MaskedArray.__sub__() method print (gfg.__sub__( 5 ))
|
[ 6 17 18 19 20]
Example #2:
# import the important module in python import numpy as np
# make an array with numpy gfg = np.ma.array([[ 21 , 22 , 23 , 24 , 25 ],
[ 26 , 25 , 24 , 23 , 22 ]])
# applying MaskedArray.__sub__() method print (gfg.__sub__( 5 ))
|
[[16 17 18 19 20] [21 20 19 18 17]]