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# scipy.ndimage.filters.gaussian_filter1d

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

  One-dimensional Gaussian filter.

  Parameters: | input : array-like input array to filter sigma : scalar standard deviation for Gaussian kernel axis : integer, optional 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

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