numpy.negative() function is used when we want to compute the negative of array elements. It returns element-wise negative value of an array or negative value of a scalar.
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.
-> 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 or scalar] Returned array or scalar = -(input arr or scalar )
Code #1 : Working
# 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]]
