On 04/12/2013 06:58 PM, Cousin Stanley wrote:
someone wrote:
As you can see, on my system I
had to use:
print row[0] , row[1]
instead of:
print row[ 'xtime' ] , row[ 'col4' ]
I'm not sure exactly why
The magic there is setting up the row_factory
after the database connection ....
dbc = DBM.connect( 'some.sql3' )
dbc.row_factory = DBM.Row
Ah, thanks a lot - now it works! This is much more "user-friendly"...
I don't really know what's the difference
between sqlite3 and mysql...
MySQL is used through a client/server system
where the db server is always running
and client processes submit requests to it
in the form of sql statements ....
SQLite is used as a stand-alone single process
with no external server involved ....
Ok, I see... So SQLite is very good for "practicing"... I'll remember
that, thank you.
Both speak sql but there are some differences
mostly in data base connection strings
and data type declarations ....
Basic sql selection is ....
select these fields
from these files
where these conditions are met
And that part of sql doesn't vary much
among different data base managers ....
Great, thank you very much...
Looks like everything is on track now... I just have to sit and play
with it and make a good interface with matplotlib, but I think I should
be able to come up with something nice, based on the help I god in this
thread...
Thanks again... I just love this python language - makes it possible to
do so much, in so little time and without being an expert at all...
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