# numpy.square () in Python

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.] `

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