Function gaussian_filter 

pub fn gaussian_filter<S, A, D>(
    data: &ArrayBase<S, D>,
    sigma: A,
    order: usize,
    mode: BorderMode<A>,
    truncate: usize,
) -> Array<A, D>
where
    S: Data<Elem = A>,
    A: Float + FromPrimitive + 'static,
    for<'a> &'a [A]: SymmetryStateCheck,
    D: Dimension,

Gaussian filter for n-dimensional arrays.

Currently hardcoded with the PadMode::Reflect padding mode.

• data - The input N-D data.
• sigma - Standard deviation for Gaussian kernel.
• order - The order of the filter along all axes. An order of 0 corresponds to a convolution with a Gaussian kernel. A positive order corresponds to a convolution with that derivative of a Gaussian.
• mode - Method that will be used to select the padded values. See the BorderMode enum for more information.
• truncate - Truncate the filter at this many standard deviations.

Panics if one of the axis’ lengths is lower than truncate * sigma + 0.5.