When doing reports on larger datasets itertools.group_by might be too slow. In those cases I make postgres handle the grouping:
truncate_date = connection.ops.date_trunc_sql('day','timestamp')
qs = qs.extra({'date':truncate_date})
return qs.values('date').annotate(Sum('amount')).order_by('date')
