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
# 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
# Python program explaining # square () function import numpy as np a = 4 + 3jprint("Square(4 + 3j) : ", np.square(a)) b = 16 + 13jprint("\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()
# 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.]
References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html
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