[Numpy-discussion] python numpy code many times slower than c++
Robert Kern
robert.kern at gmail.com
Thu Jan 22 18:03:35 EST 2009
On Thu, Jan 22, 2009 at 17:00, Wes McKinney <wesmckinn at gmail.com> wrote:
> import cProfile
>
> def f():
> pass
>
> def g():
> for i in xrange(1000000):
> f()
>
> cProfile.run("g()")
>
>>test.py
> 1000003 function calls in 1.225 CPU seconds
>
> Ordered by: standard name
>
> ncalls tottime percall cumtime percall filename:lineno(function)
> 1 0.000 0.000 1.225 1.225 <string>:1(<module>)
> 1000000 0.464 0.000 0.464 0.000 test.py:3(f)
> 1 0.761 0.761 1.225 1.225 test.py:6(g)
> 1 0.000 0.000 0.000 0.000 {method 'disable' of
> '_lsprof.Profiler' objects}
>
> Running this with line_profiler:
>
> Timer unit: 2.9485e-010 s
>
> File: test.py
> Function: g at line 9
> Total time: 0.855075 s
>
> Line # Hits Time Per Hit % Time Line Contents
> ==============================================================
> 9 @profiler
> 10 def g():
> 11 1000001 1844697930 1844.7 63.6 for i in
> xrange(1000000):
> 12 1000000 1055333053 1055.3 36.4 f()
>
> Which is what I would expect. Hmm
What platform are you on?
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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