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# 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 j-th derivative. Shape of d[j] is determined by replacing the interpolation axis in the original array with the shape of x.

  Examples

      >>> 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]])