generalmethods.py 文件源码

def gaussian_smoothing(self, data=None, filter_len=None, filter_sigma=None):
    """ This method convolves the data with a gaussian
     the smoothed data is returned

    @param array data: raw data
    @param int filter_len: length of filter
    @param int filter_sigma: width of gaussian

    @return array: smoothed data

    """
    #Todo: Check for wrong data type
    if filter_len is None:
        if len(data) < 20.:
            filter_len = 5
        elif len(data) >= 100.:
            filter_len = 10
        else:
            filter_len = int(len(data) / 10.) + 1
    if filter_sigma is None:
        filter_sigma = filter_len

    gaus = gaussian(filter_len, filter_sigma)
    return filters.convolve1d(data, gaus / gaus.sum(), mode='mirror')