numpy.absolute() in Python

• Last Updated : 29 Nov, 2018

numpy.absolute(arr, out = None, ufunc ‘absolute’) : This mathematical function helps user to calculate absolute value of each element. For complex input, a + ib, the absolute value is .

Parameters :

arr  : [array_like] Input array or object whose elements, we need to test.


Return :

An array with absolute value of each array.


Code #1 : Working

 # Python program explaining# absolute () function  import numpy as np  arr1 = [1, -3, 15, -466]print ("Absolute Value of arr1 : \n",                    np.absolute(arr1))  arr2 = [23 , -56]print ("\nAbsolute Value of arr2 : \n",                        np.absolute(arr2))

Output :

Absolute Value of arr1 :
[  1   3  15 466]

Absolute Value of arr2 :
[23 56]


Code #2 : Working with complex numbers

 # Python program explaining# absolute () function  import numpy as np  a = 4 + 3jprint("Absolute(4 + 3j) : ",             np.absolute(a))  b = 16 + 13jprint("\nAbsolute value(16 + 13j) : ",                        np.absolute(b))

Output :

Absolute(4 + 3j) :  5.0

Absolute value(16 + 13j) :  20.6155281281

Code #3: Graphical Representation of numpy.absolute()

 # Python program explaining# absolute () function  import numpy as npimport matplotlib.pyplot as plt  a = np.linspace(start = -5, stop = 5,                num = 6, endpoint = True)                  print("Graphical Representation : \n",                        np.absolute(a))  plt.title("blue : with absolute\nred : without absolute")plt.plot(a, np.absolute(a))  plt.plot(a, a, color = 'red')plt.show()

Output :

Graphical Representation :
[ 5.  3.  1.  1.  3.  5.]


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