Cara menggunakan gaussian filter 1d python

An order of 0 corresponds to convolution with a Gaussian kernel. A positive order corresponds to convolution with that derivative of a Gaussian.

The array in which to place the output, or the dtype of the returned array. By default an array of the same dtype as input will be created.

The mode parameter determines how the input array is extended beyond its boundaries. Default is ‘reflect’. Behavior for each valid value is as follows:

The input is extended by reflecting about the edge of the last pixel. This mode is also sometimes referred to as half-sample symmetric.

The input is extended by filling all values beyond the edge with the same constant value, defined by the cval parameter.

The input is extended by replicating the last pixel.

The input is extended by reflecting about the center of the last pixel. This mode is also sometimes referred to as whole-sample symmetric.

The input is extended by wrapping around to the opposite edge.

For consistency with the interpolation functions, the following mode names can also be used:

This is a synonym for ‘reflect’.

This is a synonym for ‘constant’.

This is a synonym for ‘wrap’.

Value to fill past edges of input if mode is ‘constant’. Default is 0.0.

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

Radius of the Gaussian kernel. If specified, the size of the kernel will be 2*radius + 1, and truncate is ignored. Default is None.