dirknbr writes:
> done_={}
> for line in done:
> done_[line.strip()]=0
> ...
Maybe you mean:
done_ = set(line.strip() for line in done)
outf_ = set(line.split(',')[1] for line in outf)
universe = done_ & outf # this finds the set intersection
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dirknbr wrote:
> Hi
>
> I have 2 files (done and outf), and I want to chose unique elements
> from the 2nd column in outf which are not in done. This code works but
> is not efficient, can you think of a quicker way? The a=1 is just a
> redundant task obviously, I put it this way around because I
dirknbr wrote:
Hi
I have 2 files (done and outf), and I want to chose unique elements
from the 2nd column in outf which are not in done. This code works but
is not efficient, can you think of a quicker way? The a=1 is just a
redundant task obviously, I put it this way around because I think
'in'
Use a set instead of a dictionary for done keys?
Malcolm
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> universe={}
> for line in outf:
> if line.split(',')[1].strip() in universe.keys():
> a=1
> else:
> if line.split(',')[1].strip() in done_.keys():
> a=1
> else:
> universe[line.split(',')[1].strip()]=0
>
I can not say too much because I don
Hi
I have 2 files (done and outf), and I want to chose unique elements
from the 2nd column in outf which are not in done. This code works but
is not efficient, can you think of a quicker way? The a=1 is just a
redundant task obviously, I put it this way around because I think
'in' is quicker than
