numpy.square() in Python

numpy.square(arr, out = None, ufunc ‘square’) : This mathematical function helps user to calculate square value of each element in the array.

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 : Working

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

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Output : 




Square Value of arr1 : 
 [     1      9    225 217156]

Square Value of arr2 :  [ 529 3136]



 

Code #2 : Working with complex numbers











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# Python program explaining 


# square () function 


  


import numpy as np 


  


a = 4 + 3j


print("Square(4 + 3j) : ", np.square(a)) 


  


b = 16 + 13j


print("\nSquare value(16 + 13j) : ", np.square(b)) 



















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Output : 


Square(4 + 3j) :  (7+24j)

Square value(16 + 13j) :  (87+416j)


 

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











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# 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 : \n", np.square(a)) 


  


plt.title("blue : with square\nred : without square") 


plt.plot(a, np.square(a)) 


  


plt.plot(a, a, color = 'red') 


plt.show() 



















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Output : 


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



Image

References : 

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

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