# numpy.negative () in Python

NumPy | Python Methods and Functions

`numpy.negative()` is used when we want to calculate the negation of array elements. Returns an element-wise negative array value or negative scalar value.

Syntax: numpy.negative (arr, /, out = None, *, where = True, casting = ' same_kind ', order =' K ', dtype = None, subok = True [, signature, extobj], ufunc' negative ')

Parameters:
arr: [array_like or scalar] Input 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.
- & gt ; If provided, it must have a shape that the inputs broadcast to.
- & gt; 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 or scalar] Returned array or scalar = - (input arr or scalar)

Code # 1: Work

 ` # Python program explaining ` ` # numpy.negative () function `   ` import ` ` numpy as geek ` ` in_num ` ` = ` ` 10 `   ` print ` ` (` ` "Input number:" ` `, in_num) `   ` out_num ` ` = geek.negative (in_num) `` print ( "negative of input number:" , out_num) `

Output:

` Input number: 10 negative of input number: -10 `

Code # 2:

 ` # Python program explaining ` ` # numpy.negative function `   ` import ` ` numpy as geek `   ` in_arr ` ` = ` ` geek.array ([[` ` 2 ` `, ` ` - ` ` 7 ` `, ` ` 5 ` `], [` ` - ` ` 6 ` `, ` ` 2 ` `, ` ` 0 ` `]]) `   ` print ` ` (` ` "Input array:" ` `, in_arr) `   ` out_arr ` ` = ` ` geek.negative (in_arr) ` ` print ` ` (` ` "negative of array elements:" ` `, out_arr) `

Output:

` Input array: [[2. 2. 2.] [2. 2. nan]] product of array elements: 32. 0Input array: [[2 -7 5] [-6 2 0]] negative of array elements: [[-2 7 -5] [6 -2 0]] `