Oops, 'find' is in pylab (matplotlib). I guess in numpy you have to use 'where', which does almost the same, but it returns a Tuple. Is there a function that is more like the find in matplotlib? Mark
On Aug 15, 12:26 pm, Andy Cheesman <[EMAIL PROTECTED]> wrote: > Thanks for the speedy response but where can I locate the find function > as it isn't in numpy. > > Andy > > > > mark wrote: > > I think you can create an array with a true value in the right spot as > > folows: > > > row = all( equal(a,b), 1 ) > > > Then you can either find the row (but you already knew that one, as it > > is b) > > > a[row] > > > or the row index > > > find(row==True) > > > Mark > > > On Aug 15, 11:53 am, Andy Cheesman <[EMAIL PROTECTED]> > > wrote: > >> Dear nice people > > >> I'm trying to match a row (b) within a large numpy array (a). My most > >> successful attempt is below > > >> hit = equal(b, a) > >> total_hits = add.reduce(hit, 1) > >> max_hit = argmax(total_hits, 0) > >> answer = a[max_hit] > > >> where ... > >> a = array([[ 0, 1, 2, 3], > >> [ 4, 5, 6, 7], > >> [ 8, 9, 10, 11], > >> [12, 13, 14, 15]]) > > >> b = array([8, 9, 10, 11]) > > >> I was wondering if people could suggest a possible more efficient route > >> as there seems to be numerous steps. > > >> Thanks > >> Andy > >> _______________________________________________ > >> Numpy-discussion mailing list > >> [EMAIL PROTECTED]://projects.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > > Numpy-discussion mailing list > > [EMAIL PROTECTED] > >http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > Numpy-discussion mailing list > [EMAIL PROTECTED]://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
