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 - >>> import numpy as np >>> 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])