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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. Output array should have different name as compared to input array to avoid aliasing errors. 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