Web Reference: There are several general facilities available in SciPy for interpolation and smoothing for data in 1, 2, and higher dimensions. The choice of a specific interpolation routine depends on the data: whether it is one-dimensional, is given on a structured grid, or is unstructured. Jul 23, 2025 · Python provides several ways to perform interpolation, including the use of libraries like NumPy, SciPy, and pandas, which offer built-in functions and methods for linear and non-linear interpolation. One-dimensional linear interpolation for monotonically increasing sample points. Returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x.
YouTube Excerpt: Github for the code: https://github.com/maxcurie1996/Python_Demo.
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