Re: Designing a data frame API

[jlp765]

Coming from a Python Pandas perspective,

  * How does DataFrame handle multiple columns of uniform but different types 
(like when a csv file is read that has date, string, int, float,... columns)? 
Currently, it looks like DataFrame only holds a single data type.
  * are there plans for Grouping and aggregated operations?