numpy.sinc() in Python
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)
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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()
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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]
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