numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rmul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__rmul__() method.
Syntax: numpy.MaskedArray.__rmul__
Return: Multiply others by self, and return a new masked array.
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.__rmul__().
# import the important module in python import numpy as np   # make an array with numpy gfg = np.ma.array([1, 2, 3, 4, 5])   # applying MaskedArray.__rmul__() method print(gfg.__rmul__(3)) |
Output:
[ 3 6 9 12 15]
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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.__rmul__() method print(gfg.__rmul__(5)) |
Output:
[[ 5 10 15 20 25] [30 25 20 15 10]]
