While some people love dataframes, in both Python and Julia, they feel constraining to me.<p>Does this mean there will be more features limited to DataFrames?<p>For example, Gadlfy is nice in many ways but by not using Dataframes it means I have to do my own colors for each data I plot. Some of the statistics features in GLM seem to rely heavily on DFs as well.<p>Dataframes could be much more useful more broadly if the interface was more consistent, better documented (e.g. still haven&#x27;t figured out how to instantiate with half my data).<p>Basically, null-ability is pretty useful feature in many fields, not just statistics. Will the plans include any items to help generalize nullability?