numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__imul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__imul__() method. Value will be multiplied to each and every element in a numpy array.
Syntax: numpy.MaskedArray.__imul__(other)
Return: Multiply self by other in-place.
Example #1 :
In this example we can see that each and every element in an array is multiplied with the value given as a parameter in method MaskedArray.__imul__(). 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.__imul__() method print(gfg.__imul__(5)) |
Output:
[ 5. 10. 15. 23.5 26. ]
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.__imul__() method print(gfg.__imul__(5)) |
Output:
[[ 5 10 15 20 25] [30 25 20 15 10]]
