pyudv.helpers.uniform_filter1d#

uniform_filter1d(input, size, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)[source]#

Calculate a 1-D uniform filter along the given axis.

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

Parameters:

  • input (array_like) – The input array.

  • size (int) – length of uniform filter

  • axis (int, optional) – The axis of input along which to calculate. Default is -1.

  • output (array or dtype, optional) – The 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'}, optional) –

    The mode parameter 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 cval parameter.

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

  • origin (int, optional) – Controls 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.

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])