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
# 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)) |
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 ( "\nSquare 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 : \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() |
Output :
Graphical Representation : [ 25. 9. 1. 1. 9. 25.]
References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html
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