`scipy.interpolate._interpolate:PPoly`

Signature

class 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.

c : ndarray, shape (k+1, m, ...): Polynomial coefficients, degree k and m intervals.
x : ndarray, shape (m+1,): Polynomial breakpoints. Must be sorted in either increasing or decreasing order.
extrapolate : {bool, 'periodic', None}, 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. If None (default), it is set to True. See tutorial-interpolate_out_of_bounds.
axis : int, optional: Interpolation axis. Default is zero.

x : ndarray: Breakpoints.
c : ndarray: 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.
axis : int: Interpolation axis.

High-order polynomials in the power basis can be numerically unstable. Precision problems can start to appear for orders larger than 20-30.