Python | Numpy MaskedArray.__rfloordiv__

Python | Numpy MaskedArray.floordiv

Last Updated : 01 Nov, 2019

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]]

Python | Numpy MaskedArray.__rfloordiv__

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