Scattered 2D linear interpolation: prefer LinearNDInterpolator to SmoothBivariateSpline or bisplrep.

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. Parameters: x array_like. The x-coordinates at which to evaluate the interpolated values. xp 1-D sequence of floats

Sep 8, 2011 · scipy.interpolate.interp1d does linear interpolation by and can be customized to handle error conditions.

Jun 29, 2017 · Instead of interp1d, you could use scipy.interpolate.InterpolatedUnivariateSpline. That interpolator has the method integral(a, b) that computes the definite integral. Here's an example:

Mar 23, 2018 · After much research and experimentation I found that the interplation results from scipy.interpolate.griddata seem to depend on the size of the data set provided. There seem to be thresholds that cause the interpolated value to change.

May 10, 2022 · By using the following formula we can Linearly interpolate the given data point. Here (x1, y1) are the coordinates of the first data point. And (x2,y2) are coordinates of the second data point, where x is the point on which we perform interpolation and y is the interpolated value. Example Problem: Let’s take an example for better understanding.

Mar 19, 2024 · 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.

Jan 5, 2025 · Learn how to interpolate missing data using SciPy in Python. This guide covers key methods, examples, and practical applications for beginners.

To construct the interpolating objects given data arrays, x and y, we use the make_interp_spline function: This function returns an object which has an interface similar to that of the CubicSpline objects. In particular, it can be evaluated at a data point and differentiated:

By default, ser.interpolate () will do a linear interpolation. Linear interpolation will take the index (0,1,2..) as the X and the column you want to interpolate as Y and do the interpolation. So, you need to make sure the X is sorted in your data to make this work.