If what you are trying to do is actually ensure all data is within the range [a,b], you may be interested to know that python's % operator works on floating-point numbers:
In [1]: -0.1 % 1 Out[1]: 0.90000000000000002 So if you want all samples in the range (0,1) you can just do y%=1. Anne 2008/10/27 Nicolas ROUX <[EMAIL PROTECTED]>: > Thanks for all of you, > for this fast and good reply ;-) > > > Nicolas. > > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of David Douard > Sent: Monday, October 27, 2008 12:51 PM > To: numpy-discussion@scipy.org > Subject: Re: [Numpy-discussion] How to do: y[y<T] = y+T > > Le Monday 27 October 2008 12:41:06 Nicolas ROUX, vous avez écrit : >> Hello, >> >> I hope this is not a silly question ;-) >> I have a Numpy array, and I want to process it with : >> "if the value is lower than Threshold, then increase by Threshold" >> >> >> I would like to translate it as: >> y[y<Treshold] = y + Treshold > > let's see : > > y[y<T] += T > > Is it what you want ? > >> >> To benefit from the Numpy speed. >> But this doesn't work, any idea ? >> >> Thanks, >> Cheers, >> Nicolas. >> >> _______________________________________________ >> Numpy-discussion mailing list >> Numpy-discussion@scipy.org >> http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > -- > David Douard LOGILAB, Paris (France), +33 1 45 32 03 > 12 > Formations Python, Zope, Debian : http://www.logilab.fr/formations > Développement logiciel sur mesure : http://www.logilab.fr/services > Informatique scientifique : http://www.logilab.fr/science > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion