With the help of Numpy ndarray.__ifloordiv__()
, we can divide a particular value that is provided as a parameter in the ndarray.__ifloordiv__()
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.__ifloordiv__($self, value, /)
Return: self//=value
Example #1 :
In this example we can see that each and every element in an array is divided with the value given as a parameter in method ndarray.__ifloordiv__()
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.__ifloordiv__() method print (gfg.__ifloordiv__( 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.__ifloordiv__() method print (gfg.__ifloordiv__( 3 ))
|
[[ 0. 0. 1. 1. 1.] [ 2. 1. 1. 1. 0.]]