I am not sure I understand what you want... It a nice thing if Pandas use RAM it means that it use the fastest component of you computer... It should make Pandas fast...
I am not sure what would involve overloading operators to use pyDAL... Pandas is used to transform data... If what you do on your dataframe has to be apply to your data would be really risky on the persistence stand point... To populate dataframe from web2py table : import pandas as pd rows = db(db.auth_user.id > 0).select(db.auth_user.ALL).as_list() df = pd.DataFrame(rows) df.columns # Should be your fields names Richard On Tue, May 1, 2018 at 11:31 PM, Jurgis Pralgauskis < jurgis.pralgaus...@gmail.com> wrote: > Hi, > > Pandas syntax seems very nice (short), and popular ... > But Pandas eat RAM..., and well, most of data is in DB... > > so I wonder, how hard would it be to overload operators to use pyDAL (or > other DAL/ORM)? > > what are the main challanges? > > -- > Resources: > - http://web2py.com > - http://web2py.com/book (Documentation) > - http://github.com/web2py/web2py (Source code) > - https://code.google.com/p/web2py/issues/list (Report Issues) > --- > You received this message because you are subscribed to the Google Groups > "web2py-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to web2py+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. > -- Resources: - http://web2py.com - http://web2py.com/book (Documentation) - http://github.com/web2py/web2py (Source code) - https://code.google.com/p/web2py/issues/list (Report Issues) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
