scipy.ndimage.filters.uniform_filter(input, size=3, output=None, mode='reflect', cval=0.0, origin=0)

Multi-dimensional uniform filter.

Parameters :

input : array-like

input array to filter

size : int or sequence of ints

The sizes of the uniform filter are given for each axis as a sequence, or as a single number, in which case the size is equal for all axes.

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 :


The multi-dimensional filter is implemented as a sequence of one-dimensional uniform filters. The intermediate arrays are stored in the same data type as the output. Therefore, for output types with a limited precision, the results may be imprecise because intermediate results may be stored with insufficient precision.

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