Scipy nearest neighbor interpolation

1. How do you find the nearest-neighbor interpolation?
2. What is interpolation in Scipy?
3. What does Scipy interpolate interp1d return?
4. How does Scipy interp1d work?

How do you find the nearest-neighbor interpolation?

s1 = p/m. s2 = q/n.

What is interpolation in Scipy?

Interpolation is a method for generating points between given points. For example: for points 1 and 2, we may interpolate and find points 1.33 and 1.66. Interpolation has many usage, in Machine Learning we often deal with missing data in a dataset, interpolation is often used to substitute those values.

What does Scipy interpolate interp1d return?

This class returns a function whose call method uses interpolation to find the value of new points. A 1-D array of real values. A N-D array of real values. The length of y along the interpolation axis must be equal to the length of x.

How does Scipy interp1d work?

The interp1d() function of scipy. interpolate package is used to interpolate a 1-D function. It takes arrays of values such as x and y to approximate some function y = f(x) and then uses interpolation to find the value of new points.