algorithms/filters.py
def bandpass_filter(data, low, high, fs, order=5):
    """
    Does a bandpass filter over the given data.

    :param data: The data (numpy array) to be filtered.
    :param low: The low cutoff in Hz.
    :param high: 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
    low = low / nyq
    high = high / nyq
    b, a = signal.butter(order, [low, high], btype='band')
    y = signal.lfilter(b, a, data)
    return y
def bandpass_filter(data, low, high, fs, order=5):
    nyq = 0.5 * fs
    low = low / nyq
    high = high / nyq
    b, a = signal.butter(order, [low, high], btype='band')
    y = signal.lfilter(b, a, data)
    return y
def bandpass_filter ( data , low , high , fs , order = 5 ) : nyq = 0.5 * fs low = low / nyq high = high / nyq b , a = signal . butter ( order , [ low , high ] , btype = 'band' ) y = signal . lfilter ( b , a , data ) return y
Does a bandpass filter over the given data.

    :param data: The data (numpy array) to be filtered.
    :param low: The low cutoff in Hz.
    :param high: 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 bandpass filter over the given data .