From: Anthony S. <sc...@gm...> - 2012-07-15 21:04:58
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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...@gm...> 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 > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users > > |