Fitting

spinlab.fitting.general.fit(f, data, dim=None, p0=None, fit_points=None, sigma=None, absolute_sigma=False, check_finite=True, bounds=(-inf, inf), method=None, jac=None, **kwargs)

Fitting function for SpinData

Parameters:

• f (func) -- Function used in scipy.curve_fit

• data (SpinData) -- Data for fit

• dim (str or None) -- Dimension to perform fit along. If None, the first dimension is used.

• p0 (tuple) -- Initial guess for fit

• fit_points (int) -- Number of points to use in the fit. If None (default), the number of points is the same as the data.

• kwargs -- Additional parameters for scipy.curve_fit

Returns:

Dictionary of fit, fitting parameters, and error

Return type:

out (dict)

Examples

>>> data = sl.load("path/to/data")
>>> out = sl.fit(sl.lineshape.gaussian, data, dim="f2", p0=(0, 1))
>>> fit = out["fit"]
>>> popt = out["popt"]