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

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 :

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 :

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.]