Add next estimated value to row in pandas dataframe

Question

I have a pandas dataframe and trying to calculate an (estimated) value for the next cell in each row.

For example, I have the values: 2.1, 5.3, 8.5, 13.7 and want to estimate the next value in the sequence.

The sequence has no pattern and could be increasing or decreasing but will never be a negative number, so it could be: 10,9,8,7,6 etc. (but never -1).

Its possible that the sequence will have values greater and less than the previous number, like: 2, 4, 8, 5, 2, 6.

I have not linked any code examples because I'm in a right mess! If anyone can point me in the right direction I would be most grateful.

Thank you

Answer 1

It would be helpful if you could provide an example DataFrame, but it seems to me like what you're looking for is an autoregressive model.

A decent example is here .