numpy.fabs() in Python
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)
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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)
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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)
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Output :
Input array : [2, 0, -2, -5]
Output absolute array : [ 2. 0. 2. 5.]
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