How about this (though it is getting a little clunky): plot(*transpose(map(lambda x:(x,sin(x**2)/x**3), arange(3,6, 0.01))))
On Wed, Mar 10, 2010 at 7:57 PM, Chloe Lewis <chle...@berkeley.edu> wrote: > ...although > > >>plot(map(lambda x:x**2, range(5,15))) > > probably doesn't do exactly what you want; is the idea that > > >>plot(range(5,15),lambda x:x**2) #DOESN'T WORK > > should automatically work like > > >>plot(range(5,15), map(lambda x:x**2, range(5,15))) > > by recognizing that the second argument is a function rather than a > list? > > &C > > > On Mar 10, 2010, at 10:47 AM, Chloe Lewis wrote: > >> You'd always have to specify the domain, so >> >> plot(map(lambda x:x**2, range(1,10))) >> >> shouldn't be much longer than the minimal command. >> >> &C >> >> >> On Mar 10, 2010, at 10:12 AM, max ulidtko wrote: >> >>> Hi. >>> >>> Is it possible to plot arbitrary lambda function with matplotlib? >>> Say, if i have f = lambda x: x*sin(x), can i just plot it without >>> building argument-value arrays? It would be a very convenient and >>> useful feature. >>> >>> >>> ------ >>> Sincerely, >>> max ulidtko >>> ------------------------------------------------------------------------------ >>> Download Intel® Parallel Studio Eval >>> Try the new software tools for yourself. Speed compiling, find bugs >>> proactively, and fine-tune applications for parallel performance. >>> See why Intel Parallel Studio got high marks during beta. >>> http://p.sf.net/sfu/intel-sw-dev_______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> ------------------------------------------------------------------------------ >> Download Intel® Parallel Studio Eval >> Try the new software tools for yourself. Speed compiling, find bugs >> proactively, and fine-tune applications for parallel performance. >> See why Intel Parallel Studio got high marks during beta. >> http://p.sf.net/sfu/intel-sw-dev >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users