`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." />`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." /> integrate — SciPy v1.15.3 Manual
scipy.interpolate.PPoly.

integrate#

PPoly.integrate(a, b, extrapolate=None)[source]#

Compute a definite integral over a piecewise polynomial.

Parameters:
afloat

Lower integration bound

bfloat

Upper integration bound

extrapolate{bool, ‘periodic’, None}, optional

If bool, determines whether to extrapolate to out-of-bounds points based on first and last intervals, or to return NaNs. If ‘periodic’, periodic extrapolation is used. If None (default), use self.extrapolate.

Returns:
igarray_like

Definite integral of the piecewise polynomial over [a, b]