numpy.mod() in Python

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 :

Dividend :  6
Divisor :  4
Remainder :  2

Code #2 :

Dividend array :  [ 2 -4  7]
Divisor array :  [2 3 4]
Output remainder array:  [0 2 3]