Christian Meesters wrote: >> Try searchsorted. > Thanks, but that doesn't work. Sorry, if my question wasn't clear. > > To illustrate the requirement: > For instance: >>>> a > array([ 0. , 0.1, 0.2, 0.3, 0.4]) >>>> # should be 1 > ... >>>> a.searchsorted(0.11) > 2 >>>> # should be 2 > ... >>>> a.searchsorted(0.16) > 2 > > I could correct for one index position, of course, but I still have the > requirement to get the index of the item with the closest value to the key. > Since searchsorted returns the index of the first item in a that is >= or > > the key, it can't make the distinction between 0.1 and 0.2 as I would like to > have.
I see. But it gives you the index (say 'ii') of the first item that is grater than your scalar - then you just have to compare your scalar with a[ii] and a[ii-1] and choose whichever is closer, no? r. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
