On Mar 29, 2007, at 6:48 PM, Alan G Isaac wrote: > On Thu, 29 Mar 2007, Bill Spotz apparently wrote: >> What I envisioned was that M[i,:] would return >> a row_vector and M[:,j] would return a column_vector, >> because this would be symmetric behavior. M[i], by >> convention, would behave the same as M[i,:]. > > Can you please be explicit about the value added by that > convention, as you see it?
I assume by "convention" you are referring to the convention that M [i] is M[i,:] is a row_vector. I see it as a design decision: Does M[i] mean something? No: Then raise an exception. If users want to iterate over M, this forces them to use the double index notation to specify what they are iterating over. I would find this acceptable. Yes: What should M[i] represent/return? Array representing row vector: Array representing column vector: I would argue against linear algebra objects returning raw arrays because their meaning/interface can be ambiguous, as this thread demonstrates row_vector: Reasonable choice, analogous to conventional mathematical notation column_vector: Reasonable choice, but less analogous to conventional mathematical notation Of all the choices, raising an exception and returning a row_vector are (in my opinion, anyway) the best. Unless someone has a better argument. > Thank you, > Alan Isaac > > PS I assume your "vector" class would always accept a single index, > for both row and column vectors? What is the return type of v[i]? My best guess at a best design would be that it would return a scalar. And yes, vectors would always accept a single index. But because they are matrices, they would accept two indexes as well. > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > ** Bill Spotz ** ** Sandia National Laboratories Voice: (505)845-0170 ** ** P.O. Box 5800 Fax: (505)284-5451 ** ** Albuquerque, NM 87185-0370 Email: [EMAIL PROTECTED] ** _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion