xscale.signal.fitting.sinfit

xscale.signal.fitting.sinfit(array, periods, dim=None, coord=None, unit='s')

Least squares sinusoidal fit. Fit sinusoidal functions y = A[p] * sin(2 * pi * ax * f[1] + phi[1])

Parameters:

array : xarray.DataArray

Data to be fitted

periods: float or list of float

The periods of the sinusoidal functions to be fitted

dim : str, optional

The dimension along which the data will be fitted. If not precised, the first dimension will be used

unit : {‘D’, ‘h’, ‘m’, ‘s’, ‘ms’, ‘us’, ‘ns’}, optional

If the fit uses a datetime dimension, the unit of the period may be specified here.

Returns:

modes : Dataset

A Dataset with the amplitude and the phase for each periods