Python | Numpy numpy.ndarray.floordiv() (original) (raw)
Last Updated : 06 Mar, 2019
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.
Python3 `
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))
`
Example #2 :
Python3 `
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.]]
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