On Thu, Jul 13, 2006 at 10:34:11AM +0200, Mark Bakker wrote: > To be honest, I think the native array storage order matters a lot. > When you have a large dataset, transposing the matrix is not a cheap > command.
If you use numpy, transposing is cheap. You see it when you try import numpy as N z = N.random.random([1000,1000]) print "Transposing..." for x in range(10000): z.transpose() in the latest SVN of numpy, they also have the convencience-shorthand of z.T (which calls z.transpose()). Regards Stéfan ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
