scipy.interpolate.InterpolatedUnivariateSpline.derivatives

InterpolatedUnivariateSpline.derivatives(self, x)

Return all derivatives of the spline at the point x.

Parameters

xfloat

The point to evaluate the derivatives at.

Returns

derndarray, shape(k+1,)

Derivatives of the orders 0 to k.

Examples

>>> from scipy.interpolate import UnivariateSpline
>>> x = np.linspace(0, 3, 11)
>>> y = x**2
>>> spl = UnivariateSpline(x, y)
>>> spl.derivatives(1.5)
array([2.25, 3.0, 2.0, 0])