To expand on what Jacob said, you can read a DataFrame into an in-memory SQLite table and then run SQL commands on that. However, unless you really need to use SQL there's probably a way to do the same operation faster (and with less code) using native DataFrame operations. If you can provide some examples we're happy to help translate them. -A
On Sunday, May 8, 2016 at 9:01:07 AM UTC-7, Jacob Quinn wrote: > > Also checkout the SQLite.jl package. It provides methods for reading CSV > files into an SQLite table and then running SQLite SQL commands on those > tables. You can then export the SQLite to a CSV or Data.Table/DataFrame. > > -Jacob > On May 8, 2016 4:32 AM, "Tero Frondelius" <[email protected] > <javascript:>> wrote: > >> Maybe this thread is relevant: >> https://groups.google.com/forum/m/#!topic/julia-users/QjxiCO-Lv-0 > >
