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Python | Numpy MaskedArray .__ rfloordiv__

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numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. With the Numpy operator MaskedArray .__ rfloordiv__ we can split self with a specific value (different) that is supplied as a parameter to this function.

Syntax: numpy.MaskedArray .__ rfloordiv__

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

Example # 1:
In this example, we can see that after applying MaskedArray .__ rfloordiv __ () we get the floor value for each element that is divided into an array. This method will work well for positive, negative and floating point array values.

# import important module into python

import numpy as np 

 
# make an array with NumPy

gfg = np.ma.array ([ 1 , 2.5 , 3 , 4.8 , 5 ]) 

 
# applying MaskedArray .__ rfloordiv method __ ()

print (gfg .__ rfloordiv __ ( 2 )) 

Output:

 [2.0 0.0 0.0 0.0 0.0] 

Example # 2:

# import 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 .__ rfloordiv __ () method

print (gfg .__ rfloordiv __ ( 3 )) 

Exit:

 [[3.0 1.0 1.0 0.0 0.0 ] [0.0 0.0 0.0 1.0 1.0]] 

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