algorithms/filters.py
def lowpass_filter(data, cutoff, fs, order=5):
    """
    Does a lowpass filter over the given data.

    :param data: The data (numpy array) to be filtered.
    :param cutoff: The high cutoff in Hz.
    :param fs: The sample rate in Hz of the data.
    :param order: The order of the filter. The higher the order, the tighter the roll-off.
    :returns: Filtered data (numpy array).
    """
    nyq = 0.5 * fs
    normal_cutoff = cutoff / nyq
    b, a = signal.butter(order, normal_cutoff, btype='low', analog=False)
    y = signal.lfilter(b, a, data)
    return y
def lowpass_filter(data, cutoff, fs, order=5):
    nyq = 0.5 * fs
    normal_cutoff = cutoff / nyq
    b, a = signal.butter(order, normal_cutoff, btype='low', analog=False)
    y = signal.lfilter(b, a, data)
    return y
def lowpass_filter ( data , cutoff , fs , order = 5 ) : nyq = 0.5 * fs normal_cutoff = cutoff / nyq b , a = signal . butter ( order , normal_cutoff , btype = 'low' , analog = False ) y = signal . lfilter ( b , a , data ) return y
Does a lowpass filter over the given data.

    :param data: The data (numpy array) to be filtered.
    :param cutoff: The high cutoff in Hz.
    :param fs: The sample rate in Hz of the data.
    :param order: The order of the filter. The higher the order, the tighter the roll-off.
    :returns: Filtered data (numpy array).
Does a lowpass filter over the given data .