scipy.interpolate.NdPPoly.integrate_1d¶
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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, b : float
Lower and upper bound for integration.
axis : int
Dimension over which to compute the 1D integrals
extrapolate : bool, optional
Whether to extrapolate to out-of-bounds points based on first and last intervals, or to return NaNs.
Returns: ig : NdPPoly or array-like
Definite integral of the piecewise polynomial over [a, b]. If the polynomial was 1-dimensional, an array is returned, otherwise, an NdPPoly object.