mstk.analyzer.fitting.polyfit

mstk.analyzer.fitting.polyfit(x, y, degree, weight=None)

Least square n-th order polynomial fitting: y = c0 + c1 * x + c2 * x**2 + … + cn * x**n

Parameters:

• x (list of float) –

• y (list of float) –

• degree (int) –

• weight (list of float, optional) –

Returns:

• coeff (ndarray)

• rsq (float)