John Machin wrote:
> More meaningful names wouldn't go astray either :-)
I heartily concur!
Instead of starting with:
fields = line.strip().split(',')
you could use something like:
(f_name, f_date, f_time, ...) = line.strip().split(',')
Of course then you won't be able to use ', '.join(fiel
[EMAIL PROTECTED] wrote:
> Lorn Davies wrote:
>
> > if (fields[8] == 'N' or 'P') and (fields[6] == '0' or '1'):
> > ## This line above doesn't work, can't figure out how to struct?
>
> In Python you would need to phrase that as follows:
> if (fields[8] == 'N' or fields[8] == 'P') and (fields[6
Lorn Davies wrote:
> if (fields[8] == 'N' or 'P') and (fields[6] == '0' or '1'):
> ## This line above doesn't work, can't figure out how to struct?
In Python you would need to phrase that as follows:
if (fields[8] == 'N' or fields[8] == 'P') and (fields[6] == '0'
or fields[6] == '1'):
or al
Thank you all very much for your suggestions and input... they've been
very helpful. I found the easiest apporach, as a beginner to this, was
working with Chirag's code. Thanks Chirag, I was actually able to read
and make some edit's to the code and then use it... woohooo!
My changes are annotated
Michael Hoffman wrote:
[EMAIL PROTECTED] wrote:
It will only be this simple if you can guarantee that the original
file is actually sorted by the first field.
And if not you can either sort the file ahead of time, or just keep
reopening the files in append mode when necessary. You could sort them
I did some similar stuff way back about 12-15 years ago -- in 640k
MS-DOS with gigabyte files on 33 MHz machines. I got good performance,
able to bring up any record out of 10 million or so on the screen in a
couple of seconds (not using Python, but that should not make much
difference, maybe ev
Hi,
Lorn Davies wrote:
> . working with text files that range from 100MB to 1G in size.
> .
> XYZ,04JAN1993,9:30:27,28.87,7600,40,0,Z,N
> XYZ,04JAN1993,9:30:28,28.87,1600,40,0,Z,N
> .
I've found that for working with simple large text files like this,
nothing beats the plain old buil
[EMAIL PROTECTED] wrote:
> Lorn Davies wrote:
> > Hi there, I'm a Python newbie hoping for some direction in working
> with
> > text files that range from 100MB to 1G in size. Basically certain
> rows,
> > sorted by the first (primary) field maybe second (date), need to be
> > copied and written t
[EMAIL PROTECTED] wrote:
It will only be this simple if you can guarantee that the original
file is actually sorted by the first field.
And if not you can either sort the file ahead of time, or just keep
reopening the files in append mode when necessary. You could sort them
in memory in your Python
Lorn Davies wrote:
> Hi there, I'm a Python newbie hoping for some direction in working
with
> text files that range from 100MB to 1G in size. Basically certain
rows,
> sorted by the first (primary) field maybe second (date), need to be
> copied and written to their own file, and some string manip
Hi there, I'm a Python newbie hoping for some direction in working with
text files that range from 100MB to 1G in size. Basically certain rows,
sorted by the first (primary) field maybe second (date), need to be
copied and written to their own file, and some string manipulations
need to happen as w
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