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 degrees

Return :
An array with sinc value of x for all x i.e. array elements.

Code #1 : Working

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

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)

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]