Thank you Josh, that is representative enough. In my system the speedup of structured arrays is ~30x. A copy of the whole array is still ~6x faster.
-á. On Thu, Jun 28, 2012 at 10:13 PM, Josh Ayers <josh.ay...@gmail.com> wrote: > import time > import numpy as np > > dtype = np.format_parser(['i4', 'i4'], [], []) > N = 100000 > rec = np.recarray((N, ), dtype=dtype) > struc = np.zeros((N, ), dtype=dtype) > > t1 = time.clock() > for row in rec: > pass > print time.clock() - t1 > > t1 = time.clock() > for row in struc: > pass > print time.clock() - t1 ------------------------------------------------------------------------------ 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
