numpy.absolute () in Python



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.] 

Links:
https : //docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html
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