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scipy.interpolate.BarycentricInterpolator.

# derivatives

BarycentricInterpolator.derivatives(x, der=None)

  Evaluate several derivatives of the polynomial at the point x

  Produce an array of derivatives evaluated at the point x.

  Parameters:
    x array_like

      Point or points at which to evaluate the derivatives

    der int or list or None, optional

      How many derivatives to evaluate, or None for all potentially nonzero derivatives (that is, a number equal to the number of points), or a list of derivatives to evaluate. This number includes the function value as the ‘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]])