Python | Numpy numpy.ndarray.mod() (original) (raw)
Last Updated : 08 Mar, 2019
With the help of **Numpy numpy.ndarray.__mod__()**
, every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__()
.
Syntax: ndarray.__mod__($self, value, /)
Return: self%value
Example #1 :
In this example we can see that value that we have passed through ndarray.__mod__()
method is used to perform the mod operation with every element of an array.
import
numpy as np
gfg
=
np.array([
1
,
2.5
,
3
,
4.8
,
5
])
print
(gfg.__mod__(
2
))
Output:
[ 1. 0.5 1. 0.8 1. ]
Example #2 :
import
numpy as np
gfg
=
np.array([[
1
,
2
,
3
,
4.45
,
5
],
`` [
6
,
5.5
,
4
,
3
,
2.62
]])
print
(gfg.__mod__(
3
))
Output:
[[ 1. 2. 0. 1.45 2. ] [ 0. 2.5 1. 0. 2.62]]
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