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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:
    xarray_like

      Point or points at which to evaluate the derivatives

    derint 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:
    dndarray

      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]])