numpy.sinc () in Python



> Parameters:
array: [array_like] elements are in radians. 2pi Radians = 36o degrees

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

Code # 1: Work

Output:

 Input array: [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Sinc values: [1 . -0.19765087 -0.04490537 -0.04359863] 

Code # 2: Graphic representation

# 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:" , in_array) 

 

sinc_Values ​​ = np.sinc (in_array) 

print ( "Sinc values:" , sinc_Values) 

# Python program, showing a graphical
# representation of the sinc () function

i mport 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 ( "out_array:" , out_array) 

 
# red for num py.sinc ()

plt.plot (in_array, out_array, color = `red` , marker = "o"

plt.title ( "numpy.sinc ()"

plt.xlabel ( "X"

plt.ylabel ( "Y"

 
plt.show () 

Exit:

 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 -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]