Hello Juan,
Try using the where() method [1], It has a lot of nice features under the
covers.
Be Well
Anthony
1.
http://pytables.github.com/usersguide/libref.html?highlight=where#tables.Table.where
On Sun, Jul 15, 2012 at 4:01 PM, Juan Manuel Vázquez Tovar <
jmv.to...@gmail.com> wrote:
> Hello,
>
> I have been using pytables for a few moths. The main structure of my files
> has a four column table, two of which have multidimensional cells, (56,1)
> and (133,6) respectively. The previous structure had more columns instead
> of storing the 56x1 array into the same cell. The largest file has almost
> three million rows in the table.
> I usually request data from the table looping through the entire table and
> getting for each row one specific row of the 133x6 2d array.
> Currently, each of the requests can take from 15 sec up to 10 minutes, I
> believe that depending on the status of the office network.
> Could you please advice about how to improve the reading time?
> I have tried to compress the data with zlib, but it takes more or less the
> same time.
>
> Thanks in advance,
>
> Juan Manuel
>
>
>
> ------------------------------------------------------------------------------
> 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
