This should return an error and not silently truncate to int. Nadia
Lou Pecora wrote: > Looks like it truncates to an int. But I wouldn't do > it especially if you use floating operations (+,*,/, > etc.) since what you get may not truncate to the > integer you expect. Remember floats are approximate > representations for many rational numbers. Stick with > integers, IMHO. > > --- Nadia Dencheva <[EMAIL PROTECTED]> wrote: > >> Is indexing with floats really allowed in numpy? >> >> >> >>> a=numpy.array([1,2,3,4]) >> >>> a[2.99] >> 3 > > > > -- Lou Pecora, my views are my own. > > > > ____________________________________________________________________________________ > Be a better Globetrotter. Get better travel answers from someone who knows. > Yahoo! Answers - Check it out. > http://answers.yahoo.com/dir/?link=list&sid=396545469 > _______________________________________________ > 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
