scipy.interpolate.PPoly¶
- class scipy.interpolate.PPoly(c, x, extrapolate=None, axis=0)[source]¶
- Piecewise polynomial in terms of coefficients and breakpoints - The polynomial in the ith interval is x[i] <= xp < x[i+1]: - S = sum(c[m, i] * (xp - x[i])**(k-m) for m in range(k+1)) - where k is the degree of the polynomial. This representation is the local power basis. - Parameters: - c : ndarray, shape (k, m, ...) - Polynomial coefficients, order k and m intervals - x : ndarray, shape (m+1,) - Polynomial breakpoints. These must be sorted in increasing order. - extrapolate : bool, optional - Whether to extrapolate to ouf-of-bounds points based on first and last intervals, or to return NaNs. Default: True. - axis : int, optional - Interpolation axis. Default is zero. - See also - BPoly
- piecewise polynomials in the Bernstein basis
 - Notes - High-order polynomials in the power basis can be numerically unstable. Precision problems can start to appear for orders larger than 20-30. - Attributes - x - (ndarray) Breakpoints. - c - (ndarray) Coefficients of the polynomials. They are reshaped to a 3-dimensional array with the last dimension representing the trailing dimensions of the original coefficient array. - axis - (int) Interpolation axis. - Methods - __call__(x[, nu, extrapolate]) - Evaluate the piecewise polynomial or its derivative :Parameters: x : array_like Points to evaluate the interpolant at. - derivative([nu]) - Construct a new piecewise polynomial representing the derivative. - antiderivative([nu]) - Construct a new piecewise polynomial representing the antiderivative. - integrate(a, b[, extrapolate]) - Compute a definite integral over a piecewise polynomial. - roots([discontinuity, extrapolate]) - Find real roots of the piecewise polynomial. - extend(c, x[, right]) - Add additional breakpoints and coefficients to the polynomial. - from_spline(tck[, extrapolate]) - Construct a piecewise polynomial from a spline :Parameters: tck A spline, as returned by splrep extrapolate : bool, optional Whether to extrapolate to ouf-of-bounds points based on first and last intervals, or to return NaNs. - from_bernstein_basis(bp[, extrapolate]) - Construct a piecewise polynomial in the power basis from a polynomial in Bernstein basis. - construct_fast(c, x[, extrapolate, axis]) - Construct the piecewise polynomial without making checks. 
