Alan G Isaac wrote: >> Em Dom, 2007-03-25 Ã s 13:07 -0400, Alan G Isaac escreveu: >>> >>> x[1] >>> matrix([[1, 0]]) >>> feels wrong. (Similarly when iterating across rows.) > > > On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote: >> I think the point here is that if you are using matrices, >> then all you "should" want are matrices, just like in >> MATLAB: >> >> b = A(1, :) >> b = >> 1 2 > > > Yes, that is the idea behind this, which I am also > accustomed to from GAUSS. But note again that the Matlab > equivalent :: > > >>> x=N.mat('1 2;3 4') > >>> x[0,:] > matrix([[1, 2]]) > > does provide this behavior. The question I am raising > is a design question and is I think really not addressed > by the rule of thumb you offer. Specifically, that rule > of thumb if it is indeed the justification of :: > > >>> x[1] > matrix([[3, 4]]) > > finds itself in basic conflict with the idea that I ought to > be able to iterate over the objects in an iterable container. > > I mean really, does this not "feel" wrong? :: > > >>> for item in x: print item.__repr__() > ... > matrix([[1, 2]]) > matrix([[3, 4]]) > > Cheers, > Alan Isaac > > Perhaps this would be clearer with:
>>> for rowVector in x: print item.__repr__() ... matrix([[1, 2]]) matrix([[3, 4]]) Colin W. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion