numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__iadd__ we can add a particular value that is provided as a parameter in the MaskedArray.__iadd__() method. Value will be added to each and every element in a numpy array.
Syntax: numpy.MaskedArray.__iadd__(other)
Return: Add other to self in-place.
Example #1 :
In this example we can see that each and every element in an array is added with the value given as a parameter in method MaskedArray.__iadd__(). 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.__iadd__() method print(gfg.__iadd__(5)) |
Output:
[ 6. 7. 8. 9.7 10.2]
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.__iadd__() method print(gfg.__iadd__(5)) |
Output:
[[ 6 7 8 9 10] [11 10 9 8 7]]
