I tried to convert my csv file with csv2json.py and it worked before
(see this thread
http://groups.google.com/group/django-users/browse_frm/thread/a00b529ba2147d91/efb82ba2893cc0a7?lnk=gst&q=csv#efb82ba2893cc0a7)
but now I am trying the same exact thing in a different directory and
I get this erro
Thanks, I'll try it now. What does
os.environ['DJANGO_SETTINGS_MODULE'] = 'myproject.settings'
do? I read the documentation here http://docs.python.org/library/os.html
but I didn't understand.
My app is in
C:.../Documents/PROJECTS/Django/sw2/wkw2.
Do I enter?
os.environ['DJANGO_SETTINGS_MODUL
You could also use OpenOffice with the SQLIte connector (I think)
I use Access in Windows, works great!
But you might try getting the CSV into a JSON format that the
manage.py loaddata command could use, that set's you up for the future
too.
J
On Dec 10, 8:57 am, Zeynel wrote:
> Can anyone poi
Sure, here's a quick & dirty sample I put up on pastebin:
http://pastebin.com/f651cf8de
--
You received this message because you are subscribed to the Google Groups
"Django users" group.
To post to this group, send email to django-us...@googlegroups.com.
To unsubscribe from this group, send ema
Thanks. I couldn't make the sqlite3 shell work on windows command
prompt, so I cannot use .import.
> read the csv with csv.DictReader, then create instances of my model
> with the values from the resulting dictionary, then calling a .save() on
> the new instance.
Do you have more detailed instruc
There are different ways to do it, depending on how much data you have and how
often you plan to do it.
The fastest way for large files is to use sqlite3's .import command to directly
import a file. However, this will bypass any validation done by your models.
The way I do it is to read the csv
6 matches
Mail list logo
