Good morning Im new in Pytables and I have a simple question, please help me.
I have a pytable created with four Float() columns, the number of rows in the table is around 500.000. I need to read all the complete table in fastest way possible to a numpy array in memory. Im using the following command: total =[ (x['col1'],x['col2'],x['col3'],x['col4'],) for x in row_relational] Question: Is there another command that allows to read in a fastest way? Many thanks German ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
