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Python | Numpy MaskedArray.__floordiv__

  • Last Updated : 01 Nov, 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.__floordiv__ operator we can divide a particular value that is provided as a parameter to this function.

Syntax: numpy.MaskedArray.__floordiv__

Return: Divide other into self, and return a new masked array.

Example #1 :
In this example we can see that after applying MaskedArray.__floordiv__(), we get the floor value of every element that is divided in an array. This method will work fine for positive, negative and floating point values 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.__floordiv__() method 
print(gfg.__floordiv__(2)) 
Output:



[0.0 1.0 1.0 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.__floordiv__() method 
print(gfg.__floordiv__(3)) 
Output:
[[0.0 0.0 1.0 1.0 1.0]
 [2.0 1.0 1.0 1.0 0.0]]

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