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# scipy.ndimage.filters.convolve1d

`scipy.ndimage.filters.``convolve1d`(input, weights, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)

  Calculate a one-dimensional convolution along the given axis.

  The lines of the array along the given axis are convolved with the given weights.

  Parameters: | input : array-like input array to filter weights : ndarray one-dimensional sequence of numbers axis : integer, optional 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 :

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