I like that there is an alternative to Pandas, but unfortunately it uses the same dataframes paradigm. I know I'm in the minority, but I never liked dataframes. They are too "R"-like, don't fit into Python, and try to do too many things at once.

Columns have names, except when they don't. Things (rows? individual cells?) have types which is sometimes enforced and sometimes not. If you don't follow a recipe exactly, your dataframe will be subtly different and might not work. A lot of code mixes mutation in place and creating new dataframes, and so on. And Pandas lends itself to a special chained method syntax which is almost it's own DSL in Python.