### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Interpolation (`scipy.interpolate`) »
- scipy.interpolate.PiecewisePolynomial »

# scipy.interpolate.PiecewisePolynomial.derivatives

`PiecewisePolynomial.``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 : None or integer 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]])

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Interpolation (`scipy.interpolate`) »
- scipy.interpolate.PiecewisePolynomial »