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scipy.interpolate.LSQUnivariateSpline.

# __call__

LSQUnivariateSpline.__call__(x, nu=0, ext=None)

  Evaluate spline (or its nu-th derivative) at positions x.

  Parameters:
    x array_like

      A 1-D array of points at which to return the value of the smoothed spline or its derivatives. Note: x can be unordered but the evaluation is more efficient if x is (partially) ordered.

    nu int

      The order of derivative of the spline to compute.

    ext int

      Controls the value returned for elements of x not in the interval defined by the knot sequence.

      - if ext=0 or ‘extrapolate’, return the extrapolated value.

      - if ext=1 or ‘zeros’, return 0

      - if ext=2 or ‘raise’, raise a ValueError

      - if ext=3 or ‘const’, return the boundary value.

      The default value is 0, passed from the initialization of UnivariateSpline.