bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / ndimage / _filters / uniform_filter1d
function
scipy.ndimage._filters:uniform_filter1d
source: build-install/usr/lib/python3.14/site-packages/scipy/ndimage/_filters.py:1511
Signature
def uniform_filter1d(input, size, axis = -1, output = None, mode = reflect, cval = 0.0, origin = 0)Summary
Calculate a 1-D uniform filter along the given axis.
Extended Summary
The lines of the array along the given axis are filtered with a uniform filter of given size.
Parameters
input: array_likeThe input array.
size: intlength of uniform filter
axis: int, optionalThe axis of
inputalong which to calculate. Default is -1.output: array or dtype, optionalThe array in which to place the output, or the dtype of the returned array. By default an array of the same dtype as input will be created.
mode: {'reflect', 'constant', 'nearest', 'mirror', 'wrap'}, optionalThe
modeparameter determines how the input array is extended beyond its boundaries. Default is 'reflect'. Behavior for each valid value is as follows:'reflect' (
d c b a | a b c d | d c b a)The input is extended by reflecting about the edge of the last pixel. This mode is also sometimes referred to as half-sample symmetric.
'constant' (
k k k k | a b c d | k k k k)The input is extended by filling all values beyond the edge with the same constant value, defined by the
cvalparameter.'nearest' (
a a a a | a b c d | d d d d)The input is extended by replicating the last pixel.
'mirror' (
d c b | a b c d | c b a)The input is extended by reflecting about the center of the last pixel. This mode is also sometimes referred to as whole-sample symmetric.
'wrap' (
a b c d | a b c d | a b c d)The input is extended by wrapping around to the opposite edge.
For consistency with the interpolation functions, the following mode names can also be used:
'grid-mirror'
This is a synonym for 'reflect'.
'grid-constant'
This is a synonym for 'constant'.
'grid-wrap'
This is a synonym for 'wrap'.
cval: scalar, optionalValue to fill past edges of input if
modeis 'constant'. Default is 0.0.origin: int, optionalControls the placement of the filter on the input array's pixels. A value of 0 (the default) centers the filter over the pixel, with positive values shifting the filter to the left, and negative ones to the right.
Returns
result: ndarrayFiltered array. Has same shape as
input.
Examples
from scipy.ndimage import uniform_filter1d uniform_filter1d([2, 8, 0, 4, 1, 9, 9, 0], size=3)✓
array([4, 3, 4, 1, 4, 6, 6, 3])
Aliases
scipy.ndimage.uniform_filter1d