def smooth(x, window_len=11, window='hanning'):
    if x.ndim != 1:
        raise ValueError('smooth only accepts 1 dimension arrays.')
if x.size < window_len:
    raise ValueError('Input vector needs to be bigger than window size.')
if window_len < 3:
    return x
if not window in ['flat', 'hanning', 'hamming', 'bartlett', 'blackman']:
    raise ValueError("Window is on of 'flat', 'hanning', 'hamming', 'bartlett', 'blackman'")
s = numpy.r_[2 * x[0] - x[window_len - 1::-1], x, 2 * x[-1] - x[-1:-
    window_len:-1]]
if window == 'flat':
    pass
Python Smooth Time Series Data