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scipy.interpolate.LSQUnivariateSpline.__init__

LSQUnivariateSpline.__init__(x, y, t, w=None, bbox=[, None, None], k=3)

Input:

x,y - 1-d sequences of data points (x must be

in strictly ascending order)

t - 1-d sequence of the positions of user-defined

interior knots of the spline (t must be in strictly ascending order and bbox[0]<t[0]<...<t[-1]<bbox[-1])

Optional input:

w - positive 1-d sequence of weights bbox - 2-sequence specifying the boundary of

the approximation interval. By default, bbox=[x[0],x[-1]]

k=3 - degree of the univariate spline.