With the help of Numpy numpy.ndarray.__floordiv__(), one can divide a particular value that is provided as a parameter in the ndarray.__floordiv__() method. Value will be divided to each and every element in a numpy array and remember it always gives the floor value after division.
Syntax: ndarray.__floordiv__($self, value, /)
Return: self//value
Example #1 :
In this example, we can see that each element in an array is divided with the value given as a parameter in method ndarray.__floordiv__() and gives 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.array([1, 2.5, 3, 4.8, 5])    # applying ndarray.__floordiv__() method print(gfg.__floordiv__(2)) |
Output:
[ 0. 1. 1. 2. 2.]
Example #2 :
# import the important module in python import numpy as np    # make an array with numpy gfg = np.array([[1, 2, 3, 4.45, 5],                 [6, 5.5, 4, 3, 2.62]])    # applying ndarray.__floordiv__() method print(gfg.__floordiv__(3)) |
Output:
[[ 0. 0. 1. 1. 1.] [ 2. 1. 1. 1. 0.]]
