Actually this can be a good idea. i didn't thought using he sorting. i'll try
thanks for yours ideas Xavier 2011/12/7 Tony Yu <tsy...@gmail.com> > > > On Tue, Dec 6, 2011 at 2:51 AM, Xavier Barthelemy <xab...@gmail.com>wrote: > >> ok let me be more precise >> >> I have an Z array which is the elevation >> from this I extract a discrete array of Zero Crossing, and another >> discrete array of Crests. >> len(crest) is different than len(Xzeros). I have a threshold method to >> detect my "valid" crests, and sometimes there are 2 crests between two >> zero-crossing (grouping effect) >> >> Crest and Zeros are 2 different arrays, with positions. example: >> Zeros=[1,2,3,4] Arrays=[1.5,1.7,3.5] >> >> >> and yes arrays can be sorted. not a problm with this. >> >> Xavier >> >> I may be oversimplifying this, but does searchsorted do what you want? > > In [314]: xzeros=[1,2,3,4]; xcrests=[1.5,1.7,3.5] > > In [315]: np.searchsorted(xzeros, xcrests) > Out[315]: array([1, 1, 3]) > > This returns the indexes of xzeros to the left of xcrests. > > -Tony > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- « Quand le gouvernement viole les droits du peuple, l'insurrection est, pour le peuple et pour chaque portion du peuple, le plus sacré des droits et le plus indispensable des devoirs » Déclaration des droits de l'homme et du citoyen, article 35, 1793
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion