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# numpy.mod() in Python

• Last Updated : 10 Feb, 2019

`numpy.mod()` is another function for doing mathematical operations in numpy.It returns element-wise remainder of division between two array arr1 and arr2 i.e. `arr1 % arr2 `.It returns 0 when arr2 is 0 and both arr1 and arr2 are (arrays of) integers.

Syntax : numpy.mod(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘remainder’)

Parameters :
arr1 : [array_like] Dividend array.
arr2 : [array_like] Divisor array.
dtype : The type of the returned array. By default, the dtype of arr is used.
out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.
where : [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs : Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function.

Return : [ndarray] The element-wise remainder i.e arr1 % arr2 .

Code #1 :

 `# Python program explaining``# numpy.mod() function`` ` `import` `numpy as geek``in_num1 ``=` `6``in_num2 ``=` `4`` ` `print` `(``"Dividend : "``, in_num1)``print` `(``"Divisor : "``, in_num2)``   ` `out_num ``=` `geek.mod(in_num1, in_num2) ``print` `(``"Remainder : "``, out_num) `
Output :
```Dividend :  6
Divisor :  4
Remainder :  2
```

Code #2 :

 `# Python program explaining``# numpy.mod() function`` ` `import` `numpy as geek`` ` `in_arr1 ``=` `geek.array([``2``, ``-``4``, ``7``])``in_arr2 ``=` `geek.array([``2``, ``3``, ``4``])``  ` `print` `(``"Dividend array : "``, in_arr1)``print` `(``"Divisor array : "``, in_arr2)``  ` `   ` `out_arr ``=` `geek.mod(in_arr1, in_arr2) ``print` `(``"Output remainder array: "``, out_arr) `
Output :
```Dividend array :  [ 2 -4  7]
Divisor array :  [2 3 4]
Output remainder array:  [0 2 3]
```

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