numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rfloordiv__ operator we can divide the self with a particular value (other) that is provided 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 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.__rfloordiv__() method print (gfg.__rfloordiv__( 2 ))
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[2.0 0.0 0.0 0.0 0.0]
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.__rfloordiv__() method print (gfg.__rfloordiv__( 3 ))
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[[3.0 1.0 1.0 0.0 0.0] [0.0 0.0 0.0 1.0 1.0]]