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# scipy.ndimage.gaussian_filter1d

`scipy.ndimage.``gaussian_filter1d`(input, sigma, axis=-1, order=0, output=None, mode='reflect', cval=0.0, truncate=4.0)

  One-dimensional Gaussian filter.

  Parameters:

  input : array_like

  > Input array to filter.

  sigma : scalar

  > standard deviation for Gaussian kernel

  axis : int, optional

  > The axis of input along which to calculate. Default is -1.

  order : {0, 1, 2, 3}, optional

  > An order of 0 corresponds to convolution with a Gaussian kernel. An order of 1, 2, or 3 corresponds to convolution with the first, second or third derivatives of a Gaussian. Higher order derivatives are not implemented

  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

  truncate : float, optional

  > Truncate the filter at this many standard deviations. Default is 4.0.

  Returns: | gaussian_filter1d : ndarray