> >>> out = open('sa_int_2.txt','w')
> >>> for ele1 in range(len(spot_cor)):
> x = spot_cor[ele1]
replace this with
for x in spot_cor:
> for ele2 in range(len(spot_int)):
> cols = split(spot_int[ele2],'\t')
and this with
for item in spot_int:
cols = split(item,'\t')
> y = (cols[0]+'\t'+cols[1])
> if x == y:
> for ele3 in spot_int:
> if y in ele3:
> out.write(ele3)
> out.write('\n')
But that doesn't fix the problem, it just simplifies the code!
> On top of this this process is VERY SLOW on high end
> server too. I think its just the way it is to deal
> with string processing.
It looks like you have 3 (4?!) levels of nested loops
(altho' I can't really tell because the indentation got lost) ,
and that is usually going to be slow!
> As you asked I am all parsing out the pieces for a
> tab-delimitted text. I can get the values as CSV
> instead of tab delimitted. But what is the way using
> CSV to deal with this situation.
There is a CSV module which means you have standard, tested
code to start with... Sounds like a good place to start from.
Alan G.
_______________________________________________
Tutor maillist - [EMAIL PROTECTED]
http://mail.python.org/mailman/listinfo/tutor
