El dv 20 de 01 del 2006 a les 11:53 -0800, en/na Stefan Kuzminski va escriure: > That is a good trick I will use it. > > We have heterogenous data, although sometimes a user may have > homogenous numerical data that they want to pull out into a matrix. > > My real problem is that we need to support essentially a table with > unlimited number of heterogenous columns. We can fake it by breaking > things up into smaller tables, but that seems like a kludge. I could > store each variable ( a vector ) in individual EArrays, but I am > worried that it would be slow to iterate in parallel over a large set > of individual EArrays.
Mmm, I don't know if I understand correctly, but perhaps you could try to put all the columns that have a need to be retrieved as a block of homogeneous data as a multidimensional column (using the shape attribute of *Col classes). Then, you can easily access to these columns by using the .cols accessor: table.cols.your_multidim_col[...] HTH, -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" ------------------------------------------------------- This SF.net email is sponsored by: Splunk Inc. Do you grep through log files for problems? Stop! Download the new AJAX search engine that makes searching your log files as easy as surfing the web. DOWNLOAD SPLUNK! http://sel.as-us.falkag.net/sel?cmd=lnk&kid3432&bid#0486&dat1642 _______________________________________________ Pytables-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/pytables-users
