A quick hack that should work would be to create a DictReader object to read the csv with (have a look in the python docs here<http://docs.python.org/lib/module-csv.html>). For each row you need to write do:
for row in reader: obj = MyDjangoModel() obj.__dict__ = row obj.save() I haven't tested this, but I've used the csv module a fair bit and th syntax should be close enough. Ben On 22/08/07, Amirouche <[EMAIL PROTECTED]> wrote: > > > > > On Aug 21, 8:37 pm, robo <[EMAIL PROTECTED]> wrote: > > Have any of you guys imported excel/cvs by using Python/Django? I need > > to import 1000 products for a shopping site and I'd like to learn the > > fastest and easiest way to do so. > > I already did this, but in another way. > 1. I write Models, > 2. I parse line by line the csv file (using python library) > 3. create for each line a Model Instance with the data extracted from > the file > > I prefer, because I had to change some values, and I prefer to do > this in python :) > > > > > -- Regards, Ben Ford [EMAIL PROTECTED] +628111880346 --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-users@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/django-users?hl=en -~----------~----~----~----~------~----~------~--~---
