Comment by kolja005

Does anyone have a good heuristic for when a dataframe library is a good tool choice? I work on a team that has a lot of data scientists and a few engineers (including myself) and I often see the data scientists using dataframes when simple python classes would be much more appropriate so that you have a better sense of the object you're working with. I'm been having a hard time getting this idea across to people though.