scipy.interpolate.LSQUnivariateSpline.derivatives#
- LSQUnivariateSpline.derivatives(x)[source]#
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])