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| From | Robert Kern <robert.kern@gmail.com> |
| Subject | Re: Strange output from arange() |
| Date | Mon, 25 Jul 2011 14:45:00 -0500 |
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On 7/25/11 2:20 PM, Christopher Barrington-Leigh wrote: > The following code: > > from pylab import arange > nSegments=5.0 > print arange(0,1.0+1.0/nSegments,1.0/nSegments) > nSegments=6.0 > print arange(0,1.0+1.0/nSegments,1.0/nSegments) > nSegments=8.0 > print arange(0,1.0+1.0/nSegments,1.0/nSegments) > nSegments=10.0 > print arange(0,1.0+1.0/nSegments,1.0/nSegments) > > gives an output of: > > [ 0. 0.2 0.4 0.6 0.8 1. ] > [ 0. 0.16666667 0.33333333 0.5 0.66666667 > 0.83333333 1. 1.16666667] > [ 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. ] > [ 0. 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1. ] > > These arrays have lengths, 6, 8, 9, and 11, in stead of 6, 7, 9, and > 11. > What is going on for the case of n=6? Floating point computations are not always accurate, and when one tries to compute "the same thing" two different ways, one may get inconsistent results. This is what is happening with n=6. 1+1./6 happens to be slightly greater than 7*(1./6) while 1+1./5 happens to be slightly less than 6*(1./5), etc. The trick of using 1.0+1.0/nSegments/2 tends to work better. Nonetheless, if you want to get exactly nSegments segments with exact endpoints, you should use numpy.linspace(0.0, 1.0, nSegments+1). That's a much better API for what you want. Also, you will want to ask numpy questions on the numpy-discussion mailing list, not here. http://www.scipy.org/Mailing_Lists -- 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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Strange output from arange() Christopher Barrington-Leigh <christopherbl@gmail.com> - 2011-07-25 12:20 -0700 Re: Strange output from arange() Wanderer <wanderer@dialup4less.com> - 2011-07-25 12:42 -0700 Re: Strange output from arange() Robert Kern <robert.kern@gmail.com> - 2011-07-25 14:45 -0500
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