Hi all,
How can I save an array to a file with the following
so called small field format (NASTRAN). Each row consists
of ten fields of eight characters each. Field 10 is used
only
for optional continuation information when applicable.
123456781234567812345678123456781234567812345678123456781234
Hi Matthieu,
Thanks very much, thats exactly the sort of information I was looking
for. I'm heading to a conference this weekend, but hope to get
started on this very soon.
Cheers,
Chris
On Tue, Nov 4, 2008 at 10:34 PM, Matthieu Brucher
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> I've translated it on
On Wed, Nov 5, 2008 at 3:09 PM, Charles R Harris
<[EMAIL PROTECTED]>wrote:
>
>
> On Wed, Nov 5, 2008 at 2:41 PM, Stéfan van der Walt <[EMAIL PROTECTED]>wrote:
>
>> 2008/11/5 T J <[EMAIL PROTECTED]>:
>> > numpy, it seems that logadd or logaddexp is probably a more fitting
>> > name. So long as it
On Wed, Nov 5, 2008 at 2:41 PM, Stéfan van der Walt <[EMAIL PROTECTED]>wrote:
> 2008/11/5 T J <[EMAIL PROTECTED]>:
> > numpy, it seems that logadd or logaddexp is probably a more fitting
> > name. So long as it is documented, I doubt it matters much though...
>
> Please don't call it logadd. `lo
2008/11/5 T J <[EMAIL PROTECTED]>:
> numpy, it seems that logadd or logaddexp is probably a more fitting
> name. So long as it is documented, I doubt it matters much though...
Please don't call it logadd. `logaddexp` or `logsumexp` are both
fine, but the `exp` part is essential in emphasising th
darn! How could I be that stupid... Please ignore the last message.
Christian
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
On Wed, Nov 5, 2008 at 12:00 PM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> Hmm I wonder if the base function should be renamed logaddexp, then
> logsumexp would apply to the reduce method. Thoughts?
>
As David mentioned, logsumexp is probably the traditional name, but as
the earlier link s
On Wed, Nov 5, 2008 at 12:01 PM, Neal Becker <[EMAIL PROTECTED]> wrote:
> Anne Archibald wrote:
>
> > 2008/11/5 Charles R Harris <[EMAIL PROTECTED]>:
> >> Hi All,
> >>
> >> I'm thinking of adding some new ufuncs. Some possibilities are
> >>
> >> expadd(a,b) = exp(a) + exp(b) -- For numbers stored
Anne Archibald wrote:
> 2008/11/5 Charles R Harris <[EMAIL PROTECTED]>:
>> Hi All,
>>
>> I'm thinking of adding some new ufuncs. Some possibilities are
>>
>> expadd(a,b) = exp(a) + exp(b) -- For numbers stored as logs:
>
> Surely this should be log(exp(a)+exp(b))? That would be extremely useful,
On Wed, Nov 5, 2008 at 08:05, Giovanni Samaey
<[EMAIL PROTECTED]> wrote:
>>
>> Hi,
>> how about other seed values ? I thought seed=0, is (often) used to
>> mean a "random", i.e. current time or alike, seed value ... !?
>
> Not in this case: I always get the same sequence with seed=0
> (different f
> Charles R Harris wrote:
>> Hmm... but I'm thinking one has to be clever here because the main
>> reason I heard for using logs was that normal floating point numbers
>> had insufficient range. So maybe something like
>>
>> logadd(a,b) = a + log(1 + exp(b - a))
>>
>> where a > b ?
On 11/5/2008 1
On Wed, Nov 05, 2008 at 03:19:09PM +0100, Matthieu Brucher wrote:
> > Not in this case: I always get the same sequence with seed=0
> > (different for both implementation, but the same each time I run it.)
> > I got around it by installing pygsl and taking random numbers from
> > there instead of fr
> Not in this case: I always get the same sequence with seed=0
> (different for both implementation, but the same each time I run it.)
> I got around it by installing pygsl and taking random numbers from
> there instead of from numpy.
>
> But I still find it strange to get two different sequences f
>
> Hi,
> how about other seed values ? I thought seed=0, is (often) used to
> mean a "random", i.e. current time or alike, seed value ... !?
Not in this case: I always get the same sequence with seed=0
(different for both implementation, but the same each time I run it.)
I got around it by ins
Hallo Nina,
ich huete gerade meinen kranken Sohn, wollte aber nicht versaeumen,
Platten zu reservieren:
Januar bis einschliesslich Juni 2009 haette ich gerne 2 Platten pro Monat
gruesse, Christian
___
Numpy-discussion mailing list
Numpy-discussion@sci
Sebastian Haase wrote:
>
> Hi,
> how about other seed values ? I thought seed=0, is (often) used to
> mean a "random", i.e. current time or alike, seed value ... !?
>
Not really. A fixed seed means you will always get the exact same serie
of numbers. The seed is the initial condition of your r
On Wed, Nov 5, 2008 at 11:30 AM, Giovanni Samaey
<[EMAIL PROTECTED]> wrote:
> Hi all,
> I have a question concerning the Mersenne Twister random number generation
> in numpy: when I seed it with 0, I get a different sequence of numbers in
> numpy, compared to GSL.
> In numpy:
> r = numpy.Random.Ra
Hi all,
I have a question concerning the Mersenne Twister random number
generation in numpy: when I seed it with 0, I get a different
sequence of numbers in numpy, compared to GSL.
In numpy:
r = numpy.Random.RandomState(seed=0)
r.uniform(size=5) > array([ 0.5488135 , 0.71518937,
18 matches
Mail list logo
