cwitools.imaging.smooth_nd

cwitools.imaging.smooth_nd(data, scale, axes=None, ktype='gaussian', var=False)

Smooth along all/any axes of a data cube with a box or gaussian kernel.

Args:

cube (numpy.ndarray): The input datacube. scale (float): The smoothing scale.

For a gaussian kernel, this is full-width at half-maximum (FWHM) For a box kernel, this is the width of the box.

axes (int tuple): The axes to smooth along. Default is all input axes. ktype (str): The kernel type (‘gaussian’ or ‘box’) var (bool): Set to TRUE when smoothing variance data.

Returns:

numpy.ndarray: The smoothed data cube.