scipyinterpolate

scipy.interpolate is a module in the SciPy library that provides functions for interpolation. Interpolation is the process of estimating values between known data points. The module includes various interpolation methods, such as linear interpolation, polynomial interpolation, spline interpolation, and radial basis function interpolation.

Some of the key functions available in the scipy.interpolate module include:

• interpolate.interp1d: Creates a one-dimensional interpolation function based on given data points.
• interpolate.griddata: Interpolates scattered data onto a regular grid.
• interpolate.splrep: Computes the B-spline representation of a curve.
• interpolate.splev: Evaluates a B-spline at given points.
• interpolate.Rbf: Creates a radial basis function interpolation object.

The scipy.interpolate module is commonly used in scientific and numerical computing applications to approximate values between known data points, fill missing data, or create smooth curves and surfaces from scattered data.