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]]
