# scipy.interpolate.KroghInterpolator.derivatives

KroghInterpolator.derivatives(x, der=None)

  Evaluate many derivatives of the polynomial at the point x

  Produce an array of all derivative values at the point x.

  Parameters
    x array_like

      Point or points at which to evaluate the derivatives

    der int or None, optional

      How many derivatives to extract; None for all potentially nonzero derivatives (that is a number equal to the number of points). This number includes the function value as 0th derivative.

  Returns
    d ndarray

      Array with derivatives; d[j] contains the jth derivative. Shape of d[j] is determined by replacing the interpolation axis in the original array with the shape of x.

  Examples

      >>> from scipy.interpolate import KroghInterpolator
      >>> KroghInterpolator([0,0,0],[1,2,3]).derivatives(0)
      array([1.0,2.0,3.0])
      >>> KroghInterpolator([0,0,0],[1,2,3]).derivatives([0,0])
      array([[1.0,1.0],
             [2.0,2.0],
             [3.0,3.0]])

scipy.interpolate.KroghInterpolator.derivative scipy.interpolate.barycentric_interpolate