numpy.fabs() in Python (original) (raw)

Last Updated : 28 Nov, 2018

**numpy.fabs() **function is used to compute the absolute values element-wise. This function returns the absolute values (positive magnitude) of the data in arr. It always return absolute values in floats.

Syntax : numpy.fabs(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc ‘fabs') Parameters : arr : [array_like] The array of numbers for which the absolute values are required.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.**kwargs : Allows to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.where : [array_like, optional] True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.Return : [ndarray or scalar] The absolute values of arr, the returned values are always floats.

Code #1 : Working

Python `

Python program explaining

fabs() function

import numpy as geek in_num = 10 print ("Input number : ", in_num)

out_num = geek.fabs(in_num) print ("Absolute value of positive input number : ", out_num)

`

Output :

Input number : 10 Absolute value of positive input number : 10.0

Code #2 :

Python `

Python program explaining

fabs() function

import numpy as geek in_num = -9.0 print ("Input number : ", in_num)

out_num = geek.fabs(in_num) print ("Absolute value of negative input number : ", out_num)

`

Output :

Input number : -9.0 Absolute value of negative input number : 9.0

Code #3 :

Python `

Python program explaining

fabs() function

import numpy as geek

in_arr = [2, 0, -2, -5] print ("Input array : ", in_arr)

out_arr = geek.fabs(in_arr) print ("Output absolute array : ", out_arr)

`

Output :

Input array : [2, 0, -2, -5] Output absolute array : [ 2. 0. 2. 5.]