On Dec 4, 1:28 pm, alex23 <[EMAIL PROTECTED]> wrote:
> On Dec 4, 8:12 pm, [EMAIL PROTECTED] wrote:
>
> > About the piece of code you posted, there is something I don't
> > understand.
>
> > for i, line in data:
>
> > where data is a file object. Is it legal to write that?
> > I believe it r
On Dec 4, 8:12 pm, [EMAIL PROTECTED] wrote:
> About the piece of code you posted, there is something I don't
> understand.
>
> for i, line in data:
>
> where data is a file object. Is it legal to write that?
> I believe it results in "too many values to unpack" or do I miss
> something?
>F
About the piece of code you posted, there is something I don't
understand.
for i, line in data:
where data is a file object. Is it legal to write that?
I believe it results in "too many values to unpack" or do I miss
something?
/Ben
On Dec 4, 10:26 am, [EMAIL PROTECTED] wrote:
> Matt, r
Matt, really thanks for your comments!
Even thogh it was not a direct answer to my questions,
I like your coding style very much and I think you have a good point.
About the number of line in the file, because I get that info from
another
in advance. Therefore I thought it could be hard coded.
BT
Thanks for your questions. Here come some answer below.
On Dec 2, 2:50 pm, Steven D'Aprano <[EMAIL PROTECTED]
cybersource.com.au> wrote:
> On Tue, 02 Dec 2008 03:41:29 -0800,bkamraniwrote:
> > Hi Python gurus!
> > I'm going to read in an Ascii file containing float numbers in rows and
> > columns
On Dec 2, 3:51 am, [EMAIL PROTECTED] wrote:
> I forgot to mention that I did a simple timeit test which doesn't
> show
> significant runtime difference 3.5 sec for dictionary case and 3.48
> for
> list case.
>
> def read_as_dictionary():
> fil = open('myDataFile', 'r')
> forces = {}
> f
On Tue, 02 Dec 2008 03:41:29 -0800, bkamrani wrote:
> Hi Python gurus!
> I'm going to read in an Ascii file containing float numbers in rows and
> columns (say 10 columns 50 rows) for further numerical process.
> Which format is best to save them in, eg, dictionary, list, or numpy
> array when
I forgot to mention that I did a simple timeit test which doesn't
show
significant runtime difference 3.5 sec for dictionary case and 3.48
for
list case.
def read_as_dictionary():
fil = open('myDataFile', 'r')
forces = {}
for region in range(25):
forces[region] = {}
for s
[Eric Texier]
> I need speed here. What will be the fastest method or does it matter?
Follow Alex's advice and use the timeit module, but do not generalize
from too small examples; otherwise, the relative timings will be
thrown-off by issues like the time to lookup "write" and "a" and "str"
(all of
Eric Texier <[EMAIL PROTECTED]> wrote:
> I need speed here. What will be the fastest method or does it matter?
>
> (for the example 'a' is only 3 values for the clarity of the example)
> a = [1,3,4.] ##
>
>
> method1:
>
> f.write("vec %f %f %f \n" % (a[0],a[1],a[2]))
>
> method2:
>
> f.write
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