numpy.absolute() in Python

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 $\sqrt { a^2 + b^2 }$ .

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 + 3j
print("Absolute(4 + 3j) : ", 
             np.absolute(a)) 
  
b = 16 + 13j
print("\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 np 
import 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.]

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

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