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# scipy.interpolate.KroghInterpolator.derivative

`KroghInterpolator.``derivative`(x, der)

  Evaluate one derivative of the polynomial at the point x

  Parameters : | x : scalar or array-like of length N Point or points at which to evaluate the derivatives der : None or integer Which derivative to extract. This number includes the function value as 0th derivative. Returns : ——- : d : array If the interpolator’s values are R-dimensional then the returned array will be N by R. If x is a scalar, the middle dimension will be dropped; if R is 1 then the last dimension will be dropped.

  Notes

  This is computed by evaluating all derivatives up to the desired one (using self.derivatives()) and then discarding the rest.

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