Charles R Harris wrote: > > > On 10/17/06, *Lisandro Dalcin* <[EMAIL PROTECTED] > <mailto:[EMAIL PROTECTED]>> wrote: > > I was surprised by this > > In [14]: array([[1,2,3],[4,5,6]]).reshape((3,2),order='F') > Out[14]: > array([[1, 5], > [4, 3], > [2, 6]]) > > > This one still looks wrong. > > In [15]: array([1,2,3,4,5,6]).reshape((3,2),order='F') > Out[15]: > array([[1, 2], > [3, 4], > [5, 6]]) > > > > This one is fixed, > > In [3]: array([[1,2,3,4,5,6]]).reshape((3,2),order='F') > Out[3]: > array([[1, 4], > [2, 5], > [3, 6]]) > > I also don't understand why a copy is returned if 'F' just fiddles > with the indices and strides; the underlying data should be the same, > just the view changes. FWIW, I think both examples should be returning > views.
You are right, it doesn't need to. My check is not general enough. It can be challenging to come up with a general way to differentiate the view-vs-copy situation and I struggled with it. In this case, it's the fact that while self->nd > 1, the other dimensions are only of shape 1 and so don't really matter. If you could come up with some kind of striding check that would distinguish the two cases, I would appreciate it. -Travis ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
