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Python | Numpy MaskedArray.__rmod__

  • Last Updated : 02 Apr, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rmod__ every element in masked array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in MaskedArray.__rmod__().

Syntax: numpy.MaskedArray.__rmod__

Return: Return value%self.

Example #1 :
We can see that value that we have passed through MaskedArray.__rmod__() method is used to perform the mod operation with every element of an array.




# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([1, 2.5, 3, 4.8, 5]) 
      
# applying MaskedArray.__rmod__() method 
print(gfg.__rmod__(2)) 
Output:
[0.0 2.0 2.0 2.0 2.0]

 
Example #2:




# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([[1, 2, 3, 4.45, 5], 
                [6, 5.5, 4, 3, 2.62]]) 
      
# applying MaskedArray.__rmod__() method 
print(gfg.__rmod__(3)) 
Output:
[[0.0 1.0 0.0 3.0 3.0]
 [3.0 3.0 3.0 0.0 0.3799999999999999]]

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