# Python | Numpy numpy.ndarray.__mod__()

• 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 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.__mod__() method``print``(gfg.__mod__(``2``))`

Output:

```[ 1.   0.5  1.   0.8  1. ]
```

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.__mod__() method``print``(gfg.__mod__(``3``))`

Output:

```[[ 1.    2.    0.    1.45  2.  ]
[ 0.    2.5   1.    0.    2.62]]
```
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