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Python | Numpy ndarray.__ifloordiv__()

  • Last Updated : 27 Mar, 2019

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))
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.__ifloordiv__() method
print(gfg.__ifloordiv__(3))
Output:
[[ 0.  0.  1.  1.  1.]
 [ 2.  1.  1.  1.  0.]]

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