"Duncan Smith" <buzzard at urubu.freeserve.co.uk> wrote in message
news:9b2fdh$3ph$1 at news7.svr.pol.co.uk...
> I need to read some data from a file. Each (tab delimited) row
corresponds
> to an array index eg.
>
> 0 0 0 0 0 0
> 0 1 0 0 0 0
> 0 0 1 0 0 0
> ...
>
> And I need something like,
>
> [[0,0,0,0,0,0], [0,1,0,0,0,0], [0,0,1,0,0,0], ...]
>
> What's the best way of doing this? Cheers in advance.
It takes some good taste to choose the right balance between
concision and clarity here. One possibility:
def forDuncan(fileobj):
result = []
for line in fileobj.readlines():
result.append(map(int, line.split()))
return result
One could be more compact:
def forDuncan1(fileobj):
return [ map(int, line.split())
for line in fileobj.readlines() ]
or less compact:
def forDuncan2(fileobj):
result = []
for line in fileobj.readlines():
subresult = []
for field in line.split():
subresult.append(int(field))
result.append(subresult)
return result
Personally, in this specific case I happen to prefer the
most compact version, forDuncan1 -- it seems to me
that it captures the key ideas most clearly through its
concision, while the other versions add no clarity, just
repetitious boilerplate, through their explicit loops.
Alex
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