The following table summarizes the different univariate interpolation modes coded in SciPy, together with the processes that we may use to resolve them:
| Object-oriented implementation | Procedural implementation | Special parameters and functions |
| Nearest-neighbors | interp1d(,kind='nearest') |
|
| Lagrange polynomial | BarycentricInterpolator | barycentric_interpolate |
| Hermite polynomial | KroghInterpolator | krogh_interpolate |
| Piecewise polynomial | PiecewisePolynomial | piecewise_polynomial_interpolate |
| Piecewise linear | interp1d(,kind='linear') | |
| Generic spline interpolation | InterpolatedUnivariateSpline | splrep |
| Zero-order spline | interp1d(,kind='zero') | |
| Linear spline | interp1d(,kind='slinear') | |
| Quadratic spline | interp1d(,kind='quadratic') | |
| Cubic spline | interp1d(,kind='cubic') | |
| PCHIP | PchipInterpolator | pchip_interpolate |