Skip to main content
`Ctrl`+`K`

# scipy.interpolate.LSQUnivariateSpline.derivatives

LSQUnivariateSpline.derivatives(x)

  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

      >>> 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])