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 ))
|
[ 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 ))
|
[[ 0. 0. 1. 1. 1.] [ 2. 1. 1. 1. 0.]]