#!/usr/bin/env python3

from scipy import signal
import matplotlib.pyplot as plt
import numpy as np


def main():
    fs = 8000.0

    coeffs = [
            -0.0047233836,
            0.04476544,
            -0.038443737,
            -0.0911246,
            0.2894902,
            0.6123418,
            0.2894902,
            -0.0911246,
            -0.038443737,
            0.04476544,
            -0.0047233836,
        ]

    freq_space = np.linspace(-fs/2 / (fs/2)*np.pi, fs/2 / (fs/2)*np.pi, 512)
    freqs, response = signal.freqz(coeffs, worN=freq_space)
    response = 10 * np.log(abs(response))
    plt.plot(fs/2*freqs/(np.pi), response)
    plt.grid()
    plt.show()

 

if __name__ == '__main__':
    main()