[b,a] = butter(5, [0.75*2/30, 5.0*2/30], 'bandpass');
y = filtfilt(b, a, input_signal)

y = signal.filtfilt(b, a, input_signal, padtype = None)

passband = [0.75*2/30, 5.0*2/30]
b, a = scipy.signal.butter(5, passband, 'bandpass')

b = array([  5.49209388e-03,   0.00000000e+00,  -2.74604694e-02,
    -1.97776791e-17,   5.49209388e-02,   2.47220989e-17,
    -5.49209388e-02,  -1.97776791e-17,   2.74604694e-02,
     0.00000000e+00,  -5.49209388e-03])
a = array([  1.        ,  -6.52098852,  19.50384534, -35.47189804,
    43.65758795, -38.07760914,  23.83047021, -10.55670367,
     3.16710078,  -0.58122912,   0.04945954])

b =   0.0055, 0, -0.0275, 0, 0.0549, 0, -0.0549, 0, 0.0275, 0, -0.0055
a =   1.0000, -6.5210, 19.5038, -35.4719, 43.6576, -38.0776, 23.8305,
      -10.5567, 3.1671, -0.5812, 0.0495

from scipy.io import loadmat
from scipy.signal import butter, filtfilt
from matplotlib.pyplot import plot

signaldata = loadmat('signaldata.mat')

input_signal = signaldata['input_signal'][0]

passband = [0.75*2/30, 5.0*2/30]
b, a = butter(5, passband, 'bandpass')

y = filtfilt(b, a, input_signal)
plot(y)

input_signal = [1,2,3,4,5,1,2,3,4,5,1,2,3,4,1,2,3,4,5,1,2,3,4,5,1,2,3,4,5,1,2,3,4,5]
[b,a] = butter(5, [0.75*2/30, 5.0*2/30], 'bandpass');
y = filtfilt(b, a, input_signal)

from scipy.signal import butter, filtfilt
input_signal = [1,2,3,4,5,1,2,3,4,5,1,2,3,4,1,2,3,4,5,1,2,3,4,5,1,2,3,4,5,1,2,3,4,5]
[b,a] = butter(5, [0.75*2/30, 5.0*2/30], 'bandpass');
y = filtfilt(b, a, input_signal, padtype = 'odd', padlen=3*(max(len(b),len(a))-1))