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. 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. Jul 23, 2025 · Interpolation in Python refers to the process of estimating unknown values that fall between known values. This concept is commonly used in data analysis, mathematical modeling, and graphical representations.
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