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.