Scipy interpolate

1. What is interpolation in Scipy?
2. What does interpolate do in Python?
3. What does Scipy interpolate interp1d return?

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 interpolate do in Python?

Interpolation in Python is a technique used to estimate unknown data points between two known data points. Interpolation is mostly used to impute missing values in the dataframe or series while preprocessing data.

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.