On Wed, Oct 27, 2010 at 15:58, Rick Muller <rpmul...@gmail.com> wrote: > Help! I'm having a problem in searching through the *elements* if a 2d > array. I have a loop over a numpy array: > > n,m = G.shape > print n,m > for i in xrange(n): > for j in xrange(m): > print type(G), type(G[i,j]), type(float(G[i,j])) > g = float(abs(G[i,j])) > if g < cut: > print i,j,G[i,j] > > However, I'm getting the error message: > > The truth value of an array with more than one element is ambiguous. Use > a.any() or a.all() > > despite the fact that I'm not computing a truth value of an array. I'd like > to just compare to G[i,j] or abs(G[i,j]), which should be a *single* value, > and *not* an array. I even call 'float' here to make sure that I cast this > to a normal python float. But I still get this error message. > > At this point, I suspect that I'm doing something dumb, rather than > discovering some unique bug in numpy. Can anyone help me out?
Can you provide a complete, self-contained example that does not work? What kind of object is cut? -- 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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion