# numpy.absolute () in Python

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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: Work

 # Python program explaining # absolute () function import numpy as np arr1 = [ 1 , - 3 , 15 , - 466 ] print ( "Absolute Value of arr1:" , np.absolute (arr1)) arr2 = [ 23 , - 56 ] print ( " Absolute Value of arr2: " , 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 explained # absolute () function import numpy as np a = 4 + 3j print ( "Absolute (4 + 3j):" , np.absolute (a)) b = 16 + 13j print ( "Absolute 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 np import matplotlib.pyplot as plt a = np.linspace (start = - 5 , stop = 5 , num = 6 , endpoint = True ) print ( "Graphical Representation:" , np.absolute (a)) plt.title ( "blue: with absolute red: 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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