redframes VS Prophet

I'm not GP, but I find the pandas API incredibly inconsistent and difficult to remember how to do simple transformations. For example, it sometimes overloads operators because it doesn't use built in language features like lambdas. There are reasons for the inconsistency, but using the alternatives like R's tidyverse or Julia's DataFramess.jl is like night and day for me.

I found RedFrames [1] recently which wraps Pandas dataframes with a more consistent interface, it's probably what I'd use if I had to write data transformations that had to be compatible with Pandas.

[1] https://github.com/maxhumber/redframes

[2022-10-23 14:11:15]: Question []: should we use Red Frames (https://github.com/maxhumber/redframes) in addition to Pandas? Criteria for decision? @me #projectLion

If you like writing chain-able pandas, you should check out: https://github.com/maxhumber/redframes

I intend to use this pattern in my redframes library to hijack some pd.DataFrame methods.

I'm dog-fooding my new Python data manipulation library, redframes: https://github.com/maxhumber/redframes

To help me prep for my Fantasy Hockey Draft next week!

https://facebook.github.io/prophet/

"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."