scipy.interpolate.NdPPoly.integrate_1d#

NdPPoly.integrate_1d(a, b, axis, extrapolate=None)[source]#

Compute NdPPoly representation for one dimensional definite integral

The result is a piecewise polynomial representing the integral:

\[p(y, z, ...) = \int_a^b dx\, p(x, y, z, ...)\]

where the dimension integrated over is specified with the axis parameter.

Parameters:

a, bfloat: Lower and upper bound for integration.
axisint: Dimension over which to compute the 1-D integrals
extrapolatebool, optional: Whether to extrapolate to out-of-bounds points based on first and last intervals, or to return NaNs.

Returns:

igNdPPoly or array-like: Definite integral of the piecewise polynomial over [a, b]. If the polynomial was 1D, an array is returned, otherwise, an NdPPoly object.