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# scipy.interpolate.LSQUnivariateSpline.integral

`LSQUnivariateSpline.``integral`(a, b)

  Return definite integral of the spline between two given points.

  Parameters: | a : float Lower limit of integration. b : float Upper limit of integration.
  Returns: | integral : float The value of the definite integral of the spline between limits.

  Examples

      >>> from scipy.interpolate import UnivariateSpline
      >>> x = np.linspace(0, 3, 11)
      >>> y = x**2
      >>> spl = UnivariateSpline(x, y)
      >>> spl.integral(0, 3)
      9.0

  which agrees with \(\int x^2 dx = x^3 / 3\) between the limits of 0 and 3.

  A caveat is that this routine assumes the spline to be zero outside of the data limits:

      >>> spl.integral(-1, 4)
      9.0
      >>> spl.integral(-1, 0)
      0.0