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 
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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 : 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 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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