Thanks Jason, I'm surprised this never showed up on my radar before.
-Marshall
On Feb 6, 12:45 pm, Jason Grout <jason-s...@creativetrax.com> wrote:
> Marshall Hampton wrote:
> > Sometimes its convenient to use the DATA directory, which will be
> > packaged with the worksheet if you save it (as a .sws file). So for
> > example you could copy the file to the DATA directory doing something
> > like:
>
> > os.system('cp /full/path/to/list2.txt ' + DATA + 'list2.txt')
>
> > and then
>
> > f = open(DATA + 'list2.txt')
>
> > should work, and would still work if you saved a worksheet copy and
> > moved it to another computer.
>
> > I am tempted to open a ticket in trac for some sort of read_csv
> > command, which might behave like the following (NOTE: this is just
> > wishful thinking at this point):
>
> > data_list = read_csv('my_file.csv') # data_list would be a list of
> > lists of row data, converted to numerical types if possible
> > data_list = read_csv('my_file.csv', seperator = '\t') #split lines by
> > a tab character instead
> > data_list = read_csv('my_file.csv', fields = [int,int,string])
> > #perhaps useful to have more explicit field conversions
>
> > Does something like that already exist? Seems very common as a task.
> > Of course its not that hard to do ad-hoc, but it would make things
> > more user-friendly for lots of people I think.
>
> Yes, python has a very nice CSV module.
> Seehttp://www.python.org/doc/2.5.2/lib/module-csv.html
>
> Thanks,
>
> Jason
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