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scipy.interpolate.

# PPoly

class scipy.interpolate.PPoly(c, x, extrapolate=None, axis=0)

  Piecewise polynomial in the power basis.

  The polynomial between `x[i]` and `x[i + 1]` is written in the local power basis:

      S = sum(c[m, i] * (xp - x[i])**(k-m) for m in range(k+1))

  where `k` is the degree of the polynomial.

  Parameters:
    cndarray, shape (k, m, …)

      Polynomial coefficients, order k and m intervals.

    xndarray, shape (m+1,)

      Polynomial breakpoints. Must be sorted in either increasing or decreasing order.

    extrapolatebool or ‘periodic’, 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. Default is True.

    axisint, optional

      Interpolation axis. Default is zero.

  Attributes:
    xndarray

      Breakpoints.

    cndarray

      Coefficients of the polynomials. They are reshaped to a 3-D array with the last dimension representing the trailing dimensions of the original coefficient array.

    axisint

      Interpolation axis.

  Methods

  `__call__`(x[, nu, extrapolate]) | Evaluate the piecewise polynomial or its derivative.
  `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.
  `solve`([y, discontinuity, extrapolate]) | Find real solutions of the equation `pp(x) == y`.
  `roots`([discontinuity, extrapolate]) | Find real roots of the piecewise polynomial.
  `extend`(c, x) | Add additional breakpoints and coefficients to the polynomial.
  `from_spline`(tck[, extrapolate]) | Construct a piecewise polynomial from a spline
  `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.

  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.