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&#174; 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&#174; 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&#174; 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&#174; 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

Reply via email to