Hi Francesc,
Francesc Altet wrote:
> A Dimarts 22 Agost 2006 08:10, Jan Strube va escriure:
>
>> Oh, and yet another question:
>> In my structure, I have scalar and vectorial quantities. How can I
>> determine which is which on an unfilled table ?
>> I am trying row.getTable().col(column_name).
Hi Jan,
A Dimarts 22 Agost 2006 04:03, Jan Strube va escriure:
> Now:
> Please have a look at the attached file. running tableBug.py causes the
> following error on my machine:
> Traceback (most recent call last):
[snip...]
> Now the behavior of this is very strange:
> a) removing the pos= stateme
A Dimarts 22 Agost 2006 08:10, Jan Strube va escriure:
> Oh, and yet another question:
> In my structure, I have scalar and vectorial quantities. How can I
> determine which is which on an unfilled table ?
> I am trying row.getTable().col(column_name).ndim, but that seems only to
Please, don't use
Oh, and yet another question:
In my structure, I have scalar and vectorial quantities. How can I
determine which is which on an unfilled table ?
I am trying row.getTable().col(column_name).ndim, but that seems only to
work on filled tables. In my case it simply returns 1 for all columns.
Is there
Hi Francesc,
thanks a lot for your help with this.
I decided to go with the following approach:
Every Particle really only ever has 3 daughters, each of which looks
different from the parent.
So the best structure to use is a nested tuple:
Now:
Please have a look at the attached file. running t
Hello Jan,
A Divendres 11 Agost 2006 04:22, Jan Strube va escriure:
> I would like to follow up on the message that was posted last month here
> http://sourceforge.net/mailarchive/forum.php?thread_id=19437345&forum_id=13
>760
>
> My problem is a bit differently from the one presented there:
>
> I
Hello !
I would like to follow up on the message that was posted last month here
http://sourceforge.net/mailarchive/forum.php?thread_id=19437345&forum_id=13760
My problem is a bit differently from the one presented there:
I have data in the following structure, representing a reconstructed
parti
