I'd like to point out that since your where thinking in terms of matplotlib, you might actually find numpy's own transpose useful, instead of using zip(*seq) :)
untested: t = linspace(0,2*pi*3) seq = asarray(zip(t, sin(t))) t, y = seq.T # or seq.transpose() or numpy.transpose(seq) pylab.plot(t,y) Regards Janto Andreas Waldenburger wrote: > On Wed, 3 Dec 2008 02:11:51 -0800 (PST) alex23 <[EMAIL PROTECTED]> > wrote: > > > On Dec 3, 6:51 pm, Andreas Waldenburger <[EMAIL PROTECTED]> wrote: > > > On Tue, 02 Dec 2008 18:16:13 -0800 Bryan Olson > > > > zip as its own inverse might be even easier to comprehend if we > > > > call zip by its more traditional name, "transpose". > > > > > > Sounds like a Py4k change to me. > > > > Nah, just add the following to your sitecustomize.py: > > > > transpose = zip > > > > :) > > Gaaahh! > > :) > /W > > -- > My real email address is constructed by swapping the domain with the > recipient (local part). -- http://mail.python.org/mailman/listinfo/python-list
