Python | Numpy MaskedArray.__rfloordiv__
Last Updated :
21 Jun, 2022
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.
Python3
import numpy as np
gfg = np.ma.array([ 1 , 2.5 , 3 , 4.8 , 5 ])
print (gfg.__rfloordiv__( 2 ))
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Output:
[2.0 0.0 0.0 0.0 0.0]
Example #2:
Python3
import numpy as np
gfg = np.ma.array([[ 1 , 2 , 3 , 4.45 , 5 ],
[ 6 , 5.5 , 4 , 3 , 2.62 ]])
print (gfg.__rfloordiv__( 3 ))
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Output:
[[3.0 1.0 1.0 0.0 0.0]
[0.0 0.0 0.0 1.0 1.0]]
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