scipy.ndimage.filters.maximum_filter1d(input, size, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)[source]

Calculate a one-dimensional maximum filter along the given axis.

The lines of the array along the given axis are filtered with a maximum filter of given size.


input : array_like

Input array to filter.

size : int

Length along which to calculate the 1-D maximum.

axis : int, optional

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

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

origin : scalar, optional

The origin parameter controls the placement of the filter. Default 0.0.


maximum1d : ndarray, None

Maximum-filtered array with same shape as input. None if output is not None


This function implements the MAXLIST algorithm [R102], as described by Richard Harter [R103], and has a guaranteed O(n) performance, n being the input length, regardless of filter size.


[R102](1, 2)
[R103](1, 2)