Hi,
I am very new to Pytables, i was enthralled after looking into pytables website. We use HDF5 C API's to organize our sampling data. After knowing about PyTables i downloaded and installed it and try to evaluate against HDF5 C API's. No doubt the lines of code reduced drastically using python and pytables, but the applications is very slow compared to our previous HDF5 C API's. After using Pytables it executes almost 15x times slower than C API's. Is there any way/method to increase or fine tune the performance ? right now i have tried numpy, chunking and non-compression way but no marginal increase in performance. Can somebody guide me through this ? The scenario is : C HDF5 APIS take around 11 seconds to create 30,000 dataset ( 194 MB H5 file) Pytables take around 160 seconds to create 30,000 datasets ( 303 MB H5 file ) Regards Dhananjaya ------------------------------------------------------------------------------ Colocation vs. Managed Hosting A question and answer guide to determining the best fit for your organization - today and in the future. http://p.sf.net/sfu/internap-sfd2d _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
