frites.utils.kernel_smoothing#
- frites.utils.kernel_smoothing(x, kernel, axis=- 1)[source]#
Apply a kernel smoothing using the fftconvolve.
- Parameters
- xnumpy:array_like
Array to smooth. It can also be an instance of xarray.DataArray.
- kernelnumpy:array_like
Kernel to use for smoothing (e.g kernel=np.ones((10,)) for a moving average or np.hanning(10))
- axis
python:int,python:str| -1 The axis to use for smoothing (typically the time-axis). If the x input is a DataArray, axis can be a string (e.g axis=’times’)
- Returns
- xnumpy:array_like
The smoothed array with the same shape and type as the input x.
See also