numpy.remainder() in Python
Last Updated :
10 Feb, 2019
numpy.remainder()
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.remainder(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 :
import numpy as geek
in_num1 = 4
in_num2 = 6
print ( "Dividend : " , in_num1)
print ( "Divisor : " , in_num2)
out_num = geek.remainder(in_num1, in_num2)
print ( "Remainder : " , out_num)
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Output :
Dividend : 4
Divisor : 6
Remainder : 4
Code #2 :
import numpy as geek
in_arr1 = geek.array([ 5 , - 4 , 8 ])
in_arr2 = geek.array([ 2 , 3 , 4 ])
print ( "Dividend array : " , in_arr1)
print ( "Divisor array : " , in_arr2)
out_arr = geek.remainder(in_arr1, in_arr2)
print ( "Output remainder array: " , out_arr)
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Output :
Dividend array : [ 5 -4 8]
Divisor array : [2 3 4]
Output remainder array: [1 2 0]
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