scipy.interpolate.CubicSpline.__call__¶

CubicSpline.
__call__
(x, nu=0, extrapolate=None)[source]¶ Evaluate the piecewise polynomial or its derivative.
Parameters: x : array_like
Points to evaluate the interpolant at.
nu : int, optional
Order of derivative to evaluate. Must be nonnegative.
extrapolate : {bool, ‘periodic’, None}, optional
If bool, determines whether to extrapolate to outofbounds points based on first and last intervals, or to return NaNs. If ‘periodic’, periodic extrapolation is used. If None (default), use self.extrapolate.
Returns: y : array_like
Interpolated values. Shape is determined by replacing the interpolation axis in the original array with the shape of x.
Notes
Derivatives are evaluated piecewise for each polynomial segment, even if the polynomial is not differentiable at the breakpoints. The polynomial intervals are considered halfopen,
[a, b)
, except for the last interval which is closed[a, b]
.