Stefan van der Walt wrote:
> 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()).

It is especially cheap in comparison to everything else that happens 
when one plots with matplotlib!  Utterly negligible.

Eric



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