December 2017
Intermediate to advanced
386 pages
10h 42m
English
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') ... |
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