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# scipy.interpolate.InterpolatedUnivariateSpline.__call__

`InterpolatedUnivariateSpline.``__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.