Linear interpolation python

1. What is linear interpolation in Python?
2. What is interpolation in Numpy?
3. What is the linear interpolation formula?

What is linear interpolation in Python?

Linear Interpolation is the technique of determining the values of the functions of any intermediate points when the values of two adjacent points are known. Linear interpolation is basically the estimation of an unknown value that falls within two known values.

What is interpolation in Numpy?

interp() function returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x. Syntax : numpy.interp(x, xp, fp, left = None, right = None, period = None)

What is the linear interpolation formula?

The linear interpolation formula is the simplest method that is used for estimating the value of a function between any two known values. Also, the linear interpolation formula is a method that is useful for curve fitting using linear polynomials.