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 .

# 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) 

Dividend :  6
Divisor :  4
Remainder :  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) 

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