scipy.interpolate.UnivariateSpline.
integral#
- UnivariateSpline.integral(a, b)[source]#
- Return definite integral of the spline between two given points. - Parameters:
- afloat
- Lower limit of integration. 
- bfloat
- Upper limit of integration. 
 
- Returns:
- integralfloat
- The value of the definite integral of the spline between limits. 
 
 - Examples - >>> import numpy as np >>> 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