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Speed comparison of Numeric, numarray, numpy

just a note - some speed comparisons :
>>timeit.Timer( 'x=a-a*.1','import Numeric;a=Numer ic.ones(300,Num eric.Float)').t imeit(10000)
0.6062737023839 8726
>>timeit.Timer( 'x=a-a*.1','import numarray;a=numa rray.ones(300,n umarray.Float)' ).timeit(10000)
0.4283667337622 3189
>>timeit.Timer( 'x=a-a*.1','import numpy;a=numpy.o nes(300,numpy.f loat)').timeit( 10000)
0.3696581548774 7022
>>timeit.Timer( 'x=a[30:40]','import Numeric;a=Numer ic.ones(300,Num eric.Float)').t imeit(10000)
0.0165579703570 98384
>>timeit.Timer( 'x=a[30:40]','import numarray;a=numa rray.ones(300,n umarray.Float)' ).timeit(10000)
0.1569246929411 7473
>>timeit.Timer( 'x=a[30:40]','import numpy;a=numpy.o nes(300,numpy.f loat)').timeit( 10000)
0.0195175643839 3204
>>timeit.Timer( 'x=MLab.max(a)' ,'import Numeric,MLab;a= Numeric.ones(30 0,Numeric.Float )').timeit(1000 0)
0.2145493351818 0042
>>timeit.Timer( 'x=a.max()','im port numarray;a=numa rray.ones(300,n umarray.Float)' ).timeit(10000)
0.7062478611096 5942
>>timeit.Timer( 'x=a.max()','im port numpy;a=numpy.o nes(300,numpy.f loat)').timeit( 10000)
0.2116816522775 4798
>>timeit.Timer( 'x=MLab.max(a[30:40])','import Numeric,MLab;a= Numeric.ones(30 0,Numeric.Float )').timeit(1000 0)
0.2177578435239 4112
>>timeit.Timer( 'x=a[30:40].max()','import numarray;a=numa rray.ones(300,n umarray.Float)' ).timeit(10000)
0.8151633797024 2603
>>timeit.Timer( 'x=a[30:40].max()','import numpy;a=numpy.o nes(300,numpy.f loat)').timeit( 10000)
0.2134419318645 0866
>>timeit.Timer( 'a*=0.99','impo rt Numeric;a=Numer ic.ones(300,Num eric.Float)').t imeit(10000)
0.2930945134103 24
>>timeit.Timer( 'a*=0.99','impo rt numarray;a=numa rray.ones(300,n umarray.Float)' ).timeit(10000)
0.0619374808811 69904
>>timeit.Timer( 'a*=0.99','impo rt numpy;a=numpy.o nes(300,numpy.f loat)').timeit( 10000)
0.1699095834792 3879
strange differences in all directions ...

robert
Oct 22 '06 #1
0 1993

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