scipy.ndimage.filters.gaussian_filter1d(input, sigma, axis=-1, order=0, output=None, mode='reflect', cval=0.0, truncate=4.0)[source]

One-dimensional Gaussian filter.


input : array_like

Input array to filter.

sigma : scalar

standard deviation for Gaussian kernel

axis : int, optional

The axis of input along which to calculate. Default is -1.

order : {0, 1, 2, 3}, optional

An order of 0 corresponds to convolution with a Gaussian kernel. An order of 1, 2, or 3 corresponds to convolution with the first, second or third derivatives of a Gaussian. Higher order derivatives are not implemented

output : array, optional

The output parameter passes an array in which to store the filter output.

mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional

The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’

cval : scalar, optional

Value to fill past edges of input if mode is ‘constant’. Default is 0.0

truncate : float, optional

Truncate the filter at this many standard deviations. Default is 4.0.


gaussian_filter1d : ndarray