numpy.sinc() in Python (original) (raw)

Last Updated : 29 Nov, 2018

numpy.sinc(array) : This mathematical function helps user to calculate sinc function for all x(being the array elements).

Parameters : array : [array_like] elements are in radians. 2pi Radians = 36o degreesReturn : An array with sinc value of x for all x i.e. array elements.

Code #1 : Working

Python3 1== `

Python3 program explaining

sinc() function

import numpy as np import math

in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Input array : \n", in_array)

sinc_Values = np.sinc(in_array) print ("\nSinc values : \n", sinc_Values)

`

Output:

Input array : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793]

Sinc values : [ 1. -0.19765087 -0.04490537 -0.04359863]

Code #2 : Graphical Representation

Python3 1== `

Python program showing Graphical

representation of sinc() function

import numpy as np import matplotlib.pyplot as plt

in_array = np.linspace(-np.pi, np.pi, 12) out_array = np.sinc(in_array)

print("in_array : ", in_array) print("\nout_array : ", out_array)

red for numpy.sinc()

plt.plot(in_array, out_array, color = 'red', marker = "o") plt.title("numpy.sinc()") plt.xlabel("X") plt.ylabel("Y")

plt.show()

`

Output:

in_array : [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933 0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265]

out_array : [-4.35986286e-02 1.20821077e-01 -4.02499006e-04 -2.17227951e-01 1.61555129e-01 8.71125992e-01 8.71125992e-01 1.61555129e-01 -2.17227951e-01 -4.02499006e-04 1.20821077e-01 -4.35986286e-02]