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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 : 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.
  Returns : | convolve1d : ndarray Convolved array with same shape as input

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