Hey channel, I'm trying to fix issue 4350 <https://issues.apache.org/jira/browse/ARROW-4350>, which is a result of arrow.Table<-> pandas.df conversion is not symmetric
basically we decide to use numpy array as the basis of list when converting from arrow table to pandas. which makes me wondering why? since pandas df doesn't have a very good multi-dimension array schema. and numpy array is very strict with the compact memory layout. So it is very hard to support any more than 1-D array/list data inside of pandas df cell using numpy 1D array of 1D array. And it actually caused a lot of problem for us to use the result of arrow in python land. Would it be possible to just use pure python list if the data is more than 1D ? I can't think of any easy fix for that issue, if any of you have any suggestions, please let me know :) THanks!
