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Python | Numpy MaskedArray.__mul__

  • Last Updated : 27 Mar, 2019
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numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__mul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__mul__() method.

Syntax: numpy.MaskedArray.__mul__

Return: Multiply self by other, 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.__mul__().




# 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.__mul__() method 
print(gfg.__mul__(5)) 
Output:



[ 5 10 15 20 25]

 
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.__mul__() method 
print(gfg.__mul__(5)) 
Output:
[[ 5 10 15 20 25]
 [30 25 20 15 10]]

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