scipy.interpolate.LSQUnivariateSpline.derivatives¶
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LSQUnivariateSpline.
derivatives
(x)[source]¶ Return all derivatives of the spline at the point x.
Parameters: - x : float
The point to evaluate the derivatives at.
Returns: - der : ndarray, 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])