Hello Jon,
I believe that the where() method just uses the Expr / numexpr
functionality under the covers. Anything that you can do in Expr you
should be able to do in where(). Can you provide a short example where
this is not the case?
Be Well
Anthony
On Tue, Jun 5, 2012 at 6:17 PM, Jon Wilson <j...@fnal.gov> wrote:
> Hi all,
> In looking through the docs, I see two very nice features: the .where()
> query method, and the tables.Expr computation mechanism. But, it
> doesn't appear to be possible to combine the two. It appears that, if I
> want to compute some function of my columns, but only for certain rows,
> I have two options.
> - I can use tables.Expr to compute the function, and then filter the
> results in python
> - I can use mytable.where() to select the rows I'm interested in, and
> then compute the function in python
>
> Am I missing anything? Is it possible to perform fast out-of-core
> computations with numexpr, but only on a subset of the existing rows?
> Regards,
> Jon Wilson
>
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Pytables-users mailing list
> Pytables-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/pytables-users
>
------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Pytables-users mailing list
Pytables-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/pytables-users