Parameters :

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

Return:

 An array with square value of each array. 

Code # 1: Work

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

Output:

 Square Value of arr1: [1 9 225 217156] Square Value of arr2: [529 3136] 

Code # 2: Working with Complex Numbers

# Python program explaining # square () function   import numpy as np   a = 4 + 3j print ( "Square (4 + 3j):" , np.square (a))   b = 16 + 13j print ( " Square value (16 + 13j): " , np.square (b))

Output:

 Square (4 + 3j): (7 + 24j) Square value (16 + 13j): (87 + 416j) 

Code # 3: Graphical representation of numpy.square ()  

# Python program explaining # square () 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.square (a))    plt.title ( "blue: with square red: without square" ) plt.plot (a, np.square (a))   plt.plot (a, a, color = `red` ) plt.show ()

Output:

 Graphical Representation: [25. 9. 1. 1. 1. 9. 25.] 

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