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# scipy.ndimage.filters.minimum_filter1d

`scipy.ndimage.filters.``minimum_filter1d`(input, size, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)

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

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

  Parameters: | input : array_like Input array to filter. size : int length along which to calculate 1D minimum 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.

  Notes

  This function implements the MINLIST algorithm [R104], as described by Richard Harter [R105], and has a guaranteed O(n) performance, n being the input length, regardless of filter size.

  References

  [R104] | (1, 2) http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2777

  [R105] | (1, 2) http://www.richardhartersworld.com/cri/2001/slidingmin.html