input

: array_like

Input array to filter.

sigma

: scalar or sequence of scalars

Standard deviation for Gaussian kernel. The standard deviations of the Gaussian filter are given for each axis as a sequence, or as a single number, in which case it is equal for all axes.

order

: {0, 1, 2, 3} or sequence from same set, optional

The order of the filter along each axis is given as a sequence of integers, or as a single number. 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

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

gaussian_filter

: ndarray

Returned array of same shape as

input

.